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[TensorRT] VERBOSE: ModelImporter.cpp:203: Adding network input: 000_net with dtype: float32, dimensions: (1, 3, 416, 416)
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 000_net for ONNX tensor: 000_net
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[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 065_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 065_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 065_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 067_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 067_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 067_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 067_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 067_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 068_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 068_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 068_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 068_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 068_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 070_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 070_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 070_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 070_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 070_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 071_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 071_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 071_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 071_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 071_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 073_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 073_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 073_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 073_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 073_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 074_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 074_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 074_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 074_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 074_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 076_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 076_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 076_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 076_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 076_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 077_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 077_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 077_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 077_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 077_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 078_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 078_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 078_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 078_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 078_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 079_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 079_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 079_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 079_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 079_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 080_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 080_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 080_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 080_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 080_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 081_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 081_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 081_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 081_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 081_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 082_convolutional_conv_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 082_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 085_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 085_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 085_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 085_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 085_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 086_upsample_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 088_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 088_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 088_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 088_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 088_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 089_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 089_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 089_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 089_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 089_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 090_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 090_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 090_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 090_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 090_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 091_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 091_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 091_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 091_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 091_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 092_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 092_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 092_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 092_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 092_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 093_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 093_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 093_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 093_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 093_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 094_convolutional_conv_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 094_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 097_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 097_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 097_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 097_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 097_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 098_upsample_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 100_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 100_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 100_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 100_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 100_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 101_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 101_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 101_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 101_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 101_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 102_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 102_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 102_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 102_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 102_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 103_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 103_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 103_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 103_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 103_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 104_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 104_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 104_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 104_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 104_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 105_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 105_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 105_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 105_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 105_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 106_convolutional_conv_bias
[TensorRT] VERBOSE: ModelImporter.cpp:90: Importing initializer: 106_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 001_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 000_net
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 001_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 001_convolutional [Conv] inputs: [000_net -> (1, 3, 416, 416)], [001_convolutional_conv_weights -> (32, 3, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 3, 416, 416)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 32
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 32, 416, 416)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 001_convolutional for ONNX node: 001_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 001_convolutional for ONNX tensor: 001_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 001_convolutional [Conv] outputs: [001_convolutional -> (1, 32, 416, 416)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 001_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 001_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 001_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 001_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 001_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 001_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 001_convolutional_bn [BatchNormalization] inputs: [001_convolutional -> (1, 32, 416, 416)], [001_convolutional_bn_scale -> (32)], [001_convolutional_bn_bias -> (32)], [001_convolutional_bn_mean -> (32)], [001_convolutional_bn_var -> (32)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 001_convolutional_bn for ONNX node: 001_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 001_convolutional_bn for ONNX tensor: 001_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 001_convolutional_bn [BatchNormalization] outputs: [001_convolutional_bn -> (1, 32, 416, 416)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 001_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 001_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 001_convolutional_lrelu [LeakyRelu] inputs: [001_convolutional_bn -> (1, 32, 416, 416)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 001_convolutional_lrelu for ONNX node: 001_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 001_convolutional_lrelu for ONNX tensor: 001_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 001_convolutional_lrelu [LeakyRelu] outputs: [001_convolutional_lrelu -> (1, 32, 416, 416)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 002_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 001_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 002_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 002_convolutional [Conv] inputs: [001_convolutional_lrelu -> (1, 32, 416, 416)], [002_convolutional_conv_weights -> (64, 32, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 32, 416, 416)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 208, 208)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 002_convolutional for ONNX node: 002_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 002_convolutional for ONNX tensor: 002_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 002_convolutional [Conv] outputs: [002_convolutional -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 002_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 002_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 002_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 002_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 002_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 002_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 002_convolutional_bn [BatchNormalization] inputs: [002_convolutional -> (1, 64, 208, 208)], [002_convolutional_bn_scale -> (64)], [002_convolutional_bn_bias -> (64)], [002_convolutional_bn_mean -> (64)], [002_convolutional_bn_var -> (64)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 002_convolutional_bn for ONNX node: 002_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 002_convolutional_bn for ONNX tensor: 002_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 002_convolutional_bn [BatchNormalization] outputs: [002_convolutional_bn -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 002_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 002_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 002_convolutional_lrelu [LeakyRelu] inputs: [002_convolutional_bn -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 002_convolutional_lrelu for ONNX node: 002_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 002_convolutional_lrelu for ONNX tensor: 002_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 002_convolutional_lrelu [LeakyRelu] outputs: [002_convolutional_lrelu -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 003_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 002_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 003_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 003_convolutional [Conv] inputs: [002_convolutional_lrelu -> (1, 64, 208, 208)], [003_convolutional_conv_weights -> (32, 64, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 208, 208)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 32
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 32, 208, 208)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 003_convolutional for ONNX node: 003_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 003_convolutional for ONNX tensor: 003_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 003_convolutional [Conv] outputs: [003_convolutional -> (1, 32, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 003_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 003_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 003_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 003_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 003_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 003_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 003_convolutional_bn [BatchNormalization] inputs: [003_convolutional -> (1, 32, 208, 208)], [003_convolutional_bn_scale -> (32)], [003_convolutional_bn_bias -> (32)], [003_convolutional_bn_mean -> (32)], [003_convolutional_bn_var -> (32)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 003_convolutional_bn for ONNX node: 003_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 003_convolutional_bn for ONNX tensor: 003_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 003_convolutional_bn [BatchNormalization] outputs: [003_convolutional_bn -> (1, 32, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 003_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 003_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 003_convolutional_lrelu [LeakyRelu] inputs: [003_convolutional_bn -> (1, 32, 208, 208)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 003_convolutional_lrelu for ONNX node: 003_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 003_convolutional_lrelu for ONNX tensor: 003_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 003_convolutional_lrelu [LeakyRelu] outputs: [003_convolutional_lrelu -> (1, 32, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 004_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 003_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 004_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 004_convolutional [Conv] inputs: [003_convolutional_lrelu -> (1, 32, 208, 208)], [004_convolutional_conv_weights -> (64, 32, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 32, 208, 208)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 208, 208)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 004_convolutional for ONNX node: 004_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 004_convolutional for ONNX tensor: 004_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 004_convolutional [Conv] outputs: [004_convolutional -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 004_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 004_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 004_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 004_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 004_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 004_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 004_convolutional_bn [BatchNormalization] inputs: [004_convolutional -> (1, 64, 208, 208)], [004_convolutional_bn_scale -> (64)], [004_convolutional_bn_bias -> (64)], [004_convolutional_bn_mean -> (64)], [004_convolutional_bn_var -> (64)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 004_convolutional_bn for ONNX node: 004_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 004_convolutional_bn for ONNX tensor: 004_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 004_convolutional_bn [BatchNormalization] outputs: [004_convolutional_bn -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 004_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 004_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 004_convolutional_lrelu [LeakyRelu] inputs: [004_convolutional_bn -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 004_convolutional_lrelu for ONNX node: 004_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 004_convolutional_lrelu for ONNX tensor: 004_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 004_convolutional_lrelu [LeakyRelu] outputs: [004_convolutional_lrelu -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 005_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 004_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 002_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:129: 005_shortcut [Add] inputs: [004_convolutional_lrelu -> (1, 64, 208, 208)], [002_convolutional_lrelu -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 005_shortcut for ONNX node: 005_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 005_shortcut for ONNX tensor: 005_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 005_shortcut [Add] outputs: [005_shortcut -> (1, 64, 208, 208)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 006_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 005_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 006_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 006_convolutional [Conv] inputs: [005_shortcut -> (1, 64, 208, 208)], [006_convolutional_conv_weights -> (128, 64, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 208, 208)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 006_convolutional for ONNX node: 006_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 006_convolutional for ONNX tensor: 006_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 006_convolutional [Conv] outputs: [006_convolutional -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 006_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 006_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 006_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 006_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 006_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 006_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 006_convolutional_bn [BatchNormalization] inputs: [006_convolutional -> (1, 128, 104, 104)], [006_convolutional_bn_scale -> (128)], [006_convolutional_bn_bias -> (128)], [006_convolutional_bn_mean -> (128)], [006_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 006_convolutional_bn for ONNX node: 006_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 006_convolutional_bn for ONNX tensor: 006_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 006_convolutional_bn [BatchNormalization] outputs: [006_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 006_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 006_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 006_convolutional_lrelu [LeakyRelu] inputs: [006_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 006_convolutional_lrelu for ONNX node: 006_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 006_convolutional_lrelu for ONNX tensor: 006_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 006_convolutional_lrelu [LeakyRelu] outputs: [006_convolutional_lrelu -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 007_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 006_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 007_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 007_convolutional [Conv] inputs: [006_convolutional_lrelu -> (1, 128, 104, 104)], [007_convolutional_conv_weights -> (64, 128, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 007_convolutional for ONNX node: 007_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 007_convolutional for ONNX tensor: 007_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 007_convolutional [Conv] outputs: [007_convolutional -> (1, 64, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 007_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 007_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 007_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 007_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 007_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 007_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 007_convolutional_bn [BatchNormalization] inputs: [007_convolutional -> (1, 64, 104, 104)], [007_convolutional_bn_scale -> (64)], [007_convolutional_bn_bias -> (64)], [007_convolutional_bn_mean -> (64)], [007_convolutional_bn_var -> (64)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 007_convolutional_bn for ONNX node: 007_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 007_convolutional_bn for ONNX tensor: 007_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 007_convolutional_bn [BatchNormalization] outputs: [007_convolutional_bn -> (1, 64, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 007_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 007_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 007_convolutional_lrelu [LeakyRelu] inputs: [007_convolutional_bn -> (1, 64, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 007_convolutional_lrelu for ONNX node: 007_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 007_convolutional_lrelu for ONNX tensor: 007_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 007_convolutional_lrelu [LeakyRelu] outputs: [007_convolutional_lrelu -> (1, 64, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 008_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 007_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 008_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 008_convolutional [Conv] inputs: [007_convolutional_lrelu -> (1, 64, 104, 104)], [008_convolutional_conv_weights -> (128, 64, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 008_convolutional for ONNX node: 008_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 008_convolutional for ONNX tensor: 008_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 008_convolutional [Conv] outputs: [008_convolutional -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 008_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 008_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 008_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 008_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 008_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 008_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 008_convolutional_bn [BatchNormalization] inputs: [008_convolutional -> (1, 128, 104, 104)], [008_convolutional_bn_scale -> (128)], [008_convolutional_bn_bias -> (128)], [008_convolutional_bn_mean -> (128)], [008_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 008_convolutional_bn for ONNX node: 008_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 008_convolutional_bn for ONNX tensor: 008_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 008_convolutional_bn [BatchNormalization] outputs: [008_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 008_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 008_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 008_convolutional_lrelu [LeakyRelu] inputs: [008_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 008_convolutional_lrelu for ONNX node: 008_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 008_convolutional_lrelu for ONNX tensor: 008_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 008_convolutional_lrelu [LeakyRelu] outputs: [008_convolutional_lrelu -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 009_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 008_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 006_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:129: 009_shortcut [Add] inputs: [008_convolutional_lrelu -> (1, 128, 104, 104)], [006_convolutional_lrelu -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 009_shortcut for ONNX node: 009_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 009_shortcut for ONNX tensor: 009_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 009_shortcut [Add] outputs: [009_shortcut -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 010_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 009_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 010_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 010_convolutional [Conv] inputs: [009_shortcut -> (1, 128, 104, 104)], [010_convolutional_conv_weights -> (64, 128, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 64
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 64, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 010_convolutional for ONNX node: 010_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 010_convolutional for ONNX tensor: 010_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 010_convolutional [Conv] outputs: [010_convolutional -> (1, 64, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 010_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 010_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 010_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 010_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 010_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 010_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 010_convolutional_bn [BatchNormalization] inputs: [010_convolutional -> (1, 64, 104, 104)], [010_convolutional_bn_scale -> (64)], [010_convolutional_bn_bias -> (64)], [010_convolutional_bn_mean -> (64)], [010_convolutional_bn_var -> (64)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 010_convolutional_bn for ONNX node: 010_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 010_convolutional_bn for ONNX tensor: 010_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 010_convolutional_bn [BatchNormalization] outputs: [010_convolutional_bn -> (1, 64, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 010_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 010_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 010_convolutional_lrelu [LeakyRelu] inputs: [010_convolutional_bn -> (1, 64, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 010_convolutional_lrelu for ONNX node: 010_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 010_convolutional_lrelu for ONNX tensor: 010_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 010_convolutional_lrelu [LeakyRelu] outputs: [010_convolutional_lrelu -> (1, 64, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 011_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 010_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 011_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 011_convolutional [Conv] inputs: [010_convolutional_lrelu -> (1, 64, 104, 104)], [011_convolutional_conv_weights -> (128, 64, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 64, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 011_convolutional for ONNX node: 011_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 011_convolutional for ONNX tensor: 011_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 011_convolutional [Conv] outputs: [011_convolutional -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 011_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 011_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 011_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 011_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 011_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 011_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 011_convolutional_bn [BatchNormalization] inputs: [011_convolutional -> (1, 128, 104, 104)], [011_convolutional_bn_scale -> (128)], [011_convolutional_bn_bias -> (128)], [011_convolutional_bn_mean -> (128)], [011_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 011_convolutional_bn for ONNX node: 011_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 011_convolutional_bn for ONNX tensor: 011_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 011_convolutional_bn [BatchNormalization] outputs: [011_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 011_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 011_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 011_convolutional_lrelu [LeakyRelu] inputs: [011_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 011_convolutional_lrelu for ONNX node: 011_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 011_convolutional_lrelu for ONNX tensor: 011_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 011_convolutional_lrelu [LeakyRelu] outputs: [011_convolutional_lrelu -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 012_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 011_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 009_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 012_shortcut [Add] inputs: [011_convolutional_lrelu -> (1, 128, 104, 104)], [009_shortcut -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 012_shortcut for ONNX node: 012_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 012_shortcut for ONNX tensor: 012_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 012_shortcut [Add] outputs: [012_shortcut -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 013_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 012_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 013_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 013_convolutional [Conv] inputs: [012_shortcut -> (1, 128, 104, 104)], [013_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 013_convolutional for ONNX node: 013_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 013_convolutional for ONNX tensor: 013_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 013_convolutional [Conv] outputs: [013_convolutional -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 013_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 013_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 013_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 013_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 013_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 013_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 013_convolutional_bn [BatchNormalization] inputs: [013_convolutional -> (1, 256, 52, 52)], [013_convolutional_bn_scale -> (256)], [013_convolutional_bn_bias -> (256)], [013_convolutional_bn_mean -> (256)], [013_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 013_convolutional_bn for ONNX node: 013_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 013_convolutional_bn for ONNX tensor: 013_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 013_convolutional_bn [BatchNormalization] outputs: [013_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 013_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 013_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 013_convolutional_lrelu [LeakyRelu] inputs: [013_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 013_convolutional_lrelu for ONNX node: 013_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 013_convolutional_lrelu for ONNX tensor: 013_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 013_convolutional_lrelu [LeakyRelu] outputs: [013_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 014_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 013_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 014_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 014_convolutional [Conv] inputs: [013_convolutional_lrelu -> (1, 256, 52, 52)], [014_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 014_convolutional for ONNX node: 014_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 014_convolutional for ONNX tensor: 014_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 014_convolutional [Conv] outputs: [014_convolutional -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 014_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 014_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 014_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 014_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 014_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 014_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 014_convolutional_bn [BatchNormalization] inputs: [014_convolutional -> (1, 128, 52, 52)], [014_convolutional_bn_scale -> (128)], [014_convolutional_bn_bias -> (128)], [014_convolutional_bn_mean -> (128)], [014_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 014_convolutional_bn for ONNX node: 014_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 014_convolutional_bn for ONNX tensor: 014_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 014_convolutional_bn [BatchNormalization] outputs: [014_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 014_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 014_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 014_convolutional_lrelu [LeakyRelu] inputs: [014_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 014_convolutional_lrelu for ONNX node: 014_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 014_convolutional_lrelu for ONNX tensor: 014_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 014_convolutional_lrelu [LeakyRelu] outputs: [014_convolutional_lrelu -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 015_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 014_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 015_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 015_convolutional [Conv] inputs: [014_convolutional_lrelu -> (1, 128, 52, 52)], [015_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 015_convolutional for ONNX node: 015_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 015_convolutional for ONNX tensor: 015_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 015_convolutional [Conv] outputs: [015_convolutional -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 015_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 015_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 015_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 015_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 015_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 015_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 015_convolutional_bn [BatchNormalization] inputs: [015_convolutional -> (1, 256, 52, 52)], [015_convolutional_bn_scale -> (256)], [015_convolutional_bn_bias -> (256)], [015_convolutional_bn_mean -> (256)], [015_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 015_convolutional_bn for ONNX node: 015_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 015_convolutional_bn for ONNX tensor: 015_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 015_convolutional_bn [BatchNormalization] outputs: [015_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 015_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 015_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 015_convolutional_lrelu [LeakyRelu] inputs: [015_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 015_convolutional_lrelu for ONNX node: 015_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 015_convolutional_lrelu for ONNX tensor: 015_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 015_convolutional_lrelu [LeakyRelu] outputs: [015_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 016_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 015_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 013_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:129: 016_shortcut [Add] inputs: [015_convolutional_lrelu -> (1, 256, 52, 52)], [013_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 016_shortcut for ONNX node: 016_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 016_shortcut for ONNX tensor: 016_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 016_shortcut [Add] outputs: [016_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 017_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 016_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 017_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 017_convolutional [Conv] inputs: [016_shortcut -> (1, 256, 52, 52)], [017_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 017_convolutional for ONNX node: 017_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 017_convolutional for ONNX tensor: 017_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 017_convolutional [Conv] outputs: [017_convolutional -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 017_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 017_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 017_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 017_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 017_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 017_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 017_convolutional_bn [BatchNormalization] inputs: [017_convolutional -> (1, 128, 52, 52)], [017_convolutional_bn_scale -> (128)], [017_convolutional_bn_bias -> (128)], [017_convolutional_bn_mean -> (128)], [017_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 017_convolutional_bn for ONNX node: 017_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 017_convolutional_bn for ONNX tensor: 017_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 017_convolutional_bn [BatchNormalization] outputs: [017_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 017_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 017_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 017_convolutional_lrelu [LeakyRelu] inputs: [017_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 017_convolutional_lrelu for ONNX node: 017_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 017_convolutional_lrelu for ONNX tensor: 017_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 017_convolutional_lrelu [LeakyRelu] outputs: [017_convolutional_lrelu -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 018_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 017_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 018_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 018_convolutional [Conv] inputs: [017_convolutional_lrelu -> (1, 128, 52, 52)], [018_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 018_convolutional for ONNX node: 018_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 018_convolutional for ONNX tensor: 018_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 018_convolutional [Conv] outputs: [018_convolutional -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 018_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 018_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 018_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 018_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 018_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 018_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 018_convolutional_bn [BatchNormalization] inputs: [018_convolutional -> (1, 256, 52, 52)], [018_convolutional_bn_scale -> (256)], [018_convolutional_bn_bias -> (256)], [018_convolutional_bn_mean -> (256)], [018_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 018_convolutional_bn for ONNX node: 018_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 018_convolutional_bn for ONNX tensor: 018_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 018_convolutional_bn [BatchNormalization] outputs: [018_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 018_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 018_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 018_convolutional_lrelu [LeakyRelu] inputs: [018_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 018_convolutional_lrelu for ONNX node: 018_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 018_convolutional_lrelu for ONNX tensor: 018_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 018_convolutional_lrelu [LeakyRelu] outputs: [018_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 019_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 018_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 016_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 019_shortcut [Add] inputs: [018_convolutional_lrelu -> (1, 256, 52, 52)], [016_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 019_shortcut for ONNX node: 019_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 019_shortcut for ONNX tensor: 019_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 019_shortcut [Add] outputs: [019_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 020_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 019_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 020_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 020_convolutional [Conv] inputs: [019_shortcut -> (1, 256, 52, 52)], [020_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 020_convolutional for ONNX node: 020_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 020_convolutional for ONNX tensor: 020_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 020_convolutional [Conv] outputs: [020_convolutional -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 020_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 020_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 020_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 020_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 020_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 020_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 020_convolutional_bn [BatchNormalization] inputs: [020_convolutional -> (1, 128, 52, 52)], [020_convolutional_bn_scale -> (128)], [020_convolutional_bn_bias -> (128)], [020_convolutional_bn_mean -> (128)], [020_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 020_convolutional_bn for ONNX node: 020_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 020_convolutional_bn for ONNX tensor: 020_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 020_convolutional_bn [BatchNormalization] outputs: [020_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 020_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 020_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 020_convolutional_lrelu [LeakyRelu] inputs: [020_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 020_convolutional_lrelu for ONNX node: 020_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 020_convolutional_lrelu for ONNX tensor: 020_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 020_convolutional_lrelu [LeakyRelu] outputs: [020_convolutional_lrelu -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 021_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 020_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 021_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 021_convolutional [Conv] inputs: [020_convolutional_lrelu -> (1, 128, 52, 52)], [021_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 021_convolutional for ONNX node: 021_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 021_convolutional for ONNX tensor: 021_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 021_convolutional [Conv] outputs: [021_convolutional -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 021_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 021_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 021_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 021_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 021_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 021_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 021_convolutional_bn [BatchNormalization] inputs: [021_convolutional -> (1, 256, 52, 52)], [021_convolutional_bn_scale -> (256)], [021_convolutional_bn_bias -> (256)], [021_convolutional_bn_mean -> (256)], [021_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 021_convolutional_bn for ONNX node: 021_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 021_convolutional_bn for ONNX tensor: 021_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 021_convolutional_bn [BatchNormalization] outputs: [021_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 021_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 021_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 021_convolutional_lrelu [LeakyRelu] inputs: [021_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 021_convolutional_lrelu for ONNX node: 021_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 021_convolutional_lrelu for ONNX tensor: 021_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 021_convolutional_lrelu [LeakyRelu] outputs: [021_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 022_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 021_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 019_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 022_shortcut [Add] inputs: [021_convolutional_lrelu -> (1, 256, 52, 52)], [019_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 022_shortcut for ONNX node: 022_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 022_shortcut for ONNX tensor: 022_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 022_shortcut [Add] outputs: [022_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 023_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 022_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 023_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 023_convolutional [Conv] inputs: [022_shortcut -> (1, 256, 52, 52)], [023_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 023_convolutional for ONNX node: 023_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 023_convolutional for ONNX tensor: 023_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 023_convolutional [Conv] outputs: [023_convolutional -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 023_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 023_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 023_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 023_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 023_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 023_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 023_convolutional_bn [BatchNormalization] inputs: [023_convolutional -> (1, 128, 52, 52)], [023_convolutional_bn_scale -> (128)], [023_convolutional_bn_bias -> (128)], [023_convolutional_bn_mean -> (128)], [023_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 023_convolutional_bn for ONNX node: 023_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 023_convolutional_bn for ONNX tensor: 023_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 023_convolutional_bn [BatchNormalization] outputs: [023_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 023_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 023_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 023_convolutional_lrelu [LeakyRelu] inputs: [023_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 023_convolutional_lrelu for ONNX node: 023_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 023_convolutional_lrelu for ONNX tensor: 023_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 023_convolutional_lrelu [LeakyRelu] outputs: [023_convolutional_lrelu -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 024_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 023_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 024_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 024_convolutional [Conv] inputs: [023_convolutional_lrelu -> (1, 128, 52, 52)], [024_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 024_convolutional for ONNX node: 024_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 024_convolutional for ONNX tensor: 024_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 024_convolutional [Conv] outputs: [024_convolutional -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 024_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 024_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 024_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 024_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 024_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 024_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 024_convolutional_bn [BatchNormalization] inputs: [024_convolutional -> (1, 256, 52, 52)], [024_convolutional_bn_scale -> (256)], [024_convolutional_bn_bias -> (256)], [024_convolutional_bn_mean -> (256)], [024_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 024_convolutional_bn for ONNX node: 024_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 024_convolutional_bn for ONNX tensor: 024_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 024_convolutional_bn [BatchNormalization] outputs: [024_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 024_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 024_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 024_convolutional_lrelu [LeakyRelu] inputs: [024_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 024_convolutional_lrelu for ONNX node: 024_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 024_convolutional_lrelu for ONNX tensor: 024_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 024_convolutional_lrelu [LeakyRelu] outputs: [024_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 025_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 024_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 022_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 025_shortcut [Add] inputs: [024_convolutional_lrelu -> (1, 256, 52, 52)], [022_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 025_shortcut for ONNX node: 025_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 025_shortcut for ONNX tensor: 025_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 025_shortcut [Add] outputs: [025_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 026_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 025_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 026_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 026_convolutional [Conv] inputs: [025_shortcut -> (1, 256, 52, 52)], [026_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 026_convolutional for ONNX node: 026_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 026_convolutional for ONNX tensor: 026_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 026_convolutional [Conv] outputs: [026_convolutional -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 026_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 026_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 026_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 026_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 026_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 026_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 026_convolutional_bn [BatchNormalization] inputs: [026_convolutional -> (1, 128, 52, 52)], [026_convolutional_bn_scale -> (128)], [026_convolutional_bn_bias -> (128)], [026_convolutional_bn_mean -> (128)], [026_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 026_convolutional_bn for ONNX node: 026_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 026_convolutional_bn for ONNX tensor: 026_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 026_convolutional_bn [BatchNormalization] outputs: [026_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 026_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 026_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 026_convolutional_lrelu [LeakyRelu] inputs: [026_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 026_convolutional_lrelu for ONNX node: 026_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 026_convolutional_lrelu for ONNX tensor: 026_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 026_convolutional_lrelu [LeakyRelu] outputs: [026_convolutional_lrelu -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 027_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 026_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 027_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 027_convolutional [Conv] inputs: [026_convolutional_lrelu -> (1, 128, 52, 52)], [027_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 027_convolutional for ONNX node: 027_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 027_convolutional for ONNX tensor: 027_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 027_convolutional [Conv] outputs: [027_convolutional -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 027_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 027_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 027_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 027_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 027_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 027_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 027_convolutional_bn [BatchNormalization] inputs: [027_convolutional -> (1, 256, 52, 52)], [027_convolutional_bn_scale -> (256)], [027_convolutional_bn_bias -> (256)], [027_convolutional_bn_mean -> (256)], [027_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 027_convolutional_bn for ONNX node: 027_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 027_convolutional_bn for ONNX tensor: 027_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 027_convolutional_bn [BatchNormalization] outputs: [027_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 027_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 027_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 027_convolutional_lrelu [LeakyRelu] inputs: [027_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 027_convolutional_lrelu for ONNX node: 027_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 027_convolutional_lrelu for ONNX tensor: 027_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 027_convolutional_lrelu [LeakyRelu] outputs: [027_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 028_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 027_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 025_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 028_shortcut [Add] inputs: [027_convolutional_lrelu -> (1, 256, 52, 52)], [025_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 028_shortcut for ONNX node: 028_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 028_shortcut for ONNX tensor: 028_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 028_shortcut [Add] outputs: [028_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 029_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 028_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 029_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 029_convolutional [Conv] inputs: [028_shortcut -> (1, 256, 52, 52)], [029_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 029_convolutional for ONNX node: 029_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 029_convolutional for ONNX tensor: 029_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 029_convolutional [Conv] outputs: [029_convolutional -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 029_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 029_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 029_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 029_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 029_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 029_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 029_convolutional_bn [BatchNormalization] inputs: [029_convolutional -> (1, 128, 52, 52)], [029_convolutional_bn_scale -> (128)], [029_convolutional_bn_bias -> (128)], [029_convolutional_bn_mean -> (128)], [029_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 029_convolutional_bn for ONNX node: 029_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 029_convolutional_bn for ONNX tensor: 029_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 029_convolutional_bn [BatchNormalization] outputs: [029_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 029_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 029_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 029_convolutional_lrelu [LeakyRelu] inputs: [029_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 029_convolutional_lrelu for ONNX node: 029_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 029_convolutional_lrelu for ONNX tensor: 029_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 029_convolutional_lrelu [LeakyRelu] outputs: [029_convolutional_lrelu -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 030_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 029_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 030_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 030_convolutional [Conv] inputs: [029_convolutional_lrelu -> (1, 128, 52, 52)], [030_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 030_convolutional for ONNX node: 030_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 030_convolutional for ONNX tensor: 030_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 030_convolutional [Conv] outputs: [030_convolutional -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 030_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 030_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 030_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 030_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 030_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 030_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 030_convolutional_bn [BatchNormalization] inputs: [030_convolutional -> (1, 256, 52, 52)], [030_convolutional_bn_scale -> (256)], [030_convolutional_bn_bias -> (256)], [030_convolutional_bn_mean -> (256)], [030_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 030_convolutional_bn for ONNX node: 030_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 030_convolutional_bn for ONNX tensor: 030_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 030_convolutional_bn [BatchNormalization] outputs: [030_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 030_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 030_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 030_convolutional_lrelu [LeakyRelu] inputs: [030_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 030_convolutional_lrelu for ONNX node: 030_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 030_convolutional_lrelu for ONNX tensor: 030_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 030_convolutional_lrelu [LeakyRelu] outputs: [030_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 031_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 030_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 028_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 031_shortcut [Add] inputs: [030_convolutional_lrelu -> (1, 256, 52, 52)], [028_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 031_shortcut for ONNX node: 031_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 031_shortcut for ONNX tensor: 031_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 031_shortcut [Add] outputs: [031_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 032_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 031_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 032_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 032_convolutional [Conv] inputs: [031_shortcut -> (1, 256, 52, 52)], [032_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 032_convolutional for ONNX node: 032_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 032_convolutional for ONNX tensor: 032_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 032_convolutional [Conv] outputs: [032_convolutional -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 032_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 032_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 032_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 032_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 032_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 032_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 032_convolutional_bn [BatchNormalization] inputs: [032_convolutional -> (1, 128, 52, 52)], [032_convolutional_bn_scale -> (128)], [032_convolutional_bn_bias -> (128)], [032_convolutional_bn_mean -> (128)], [032_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 032_convolutional_bn for ONNX node: 032_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 032_convolutional_bn for ONNX tensor: 032_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 032_convolutional_bn [BatchNormalization] outputs: [032_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 032_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 032_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 032_convolutional_lrelu [LeakyRelu] inputs: [032_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 032_convolutional_lrelu for ONNX node: 032_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 032_convolutional_lrelu for ONNX tensor: 032_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 032_convolutional_lrelu [LeakyRelu] outputs: [032_convolutional_lrelu -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 033_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 032_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 033_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 033_convolutional [Conv] inputs: [032_convolutional_lrelu -> (1, 128, 52, 52)], [033_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 033_convolutional for ONNX node: 033_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 033_convolutional for ONNX tensor: 033_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 033_convolutional [Conv] outputs: [033_convolutional -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 033_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 033_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 033_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 033_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 033_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 033_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 033_convolutional_bn [BatchNormalization] inputs: [033_convolutional -> (1, 256, 52, 52)], [033_convolutional_bn_scale -> (256)], [033_convolutional_bn_bias -> (256)], [033_convolutional_bn_mean -> (256)], [033_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 033_convolutional_bn for ONNX node: 033_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 033_convolutional_bn for ONNX tensor: 033_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 033_convolutional_bn [BatchNormalization] outputs: [033_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 033_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 033_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 033_convolutional_lrelu [LeakyRelu] inputs: [033_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 033_convolutional_lrelu for ONNX node: 033_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 033_convolutional_lrelu for ONNX tensor: 033_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 033_convolutional_lrelu [LeakyRelu] outputs: [033_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 034_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 033_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 031_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 034_shortcut [Add] inputs: [033_convolutional_lrelu -> (1, 256, 52, 52)], [031_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 034_shortcut for ONNX node: 034_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 034_shortcut for ONNX tensor: 034_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 034_shortcut [Add] outputs: [034_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 035_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 034_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 035_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 035_convolutional [Conv] inputs: [034_shortcut -> (1, 256, 52, 52)], [035_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 035_convolutional for ONNX node: 035_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 035_convolutional for ONNX tensor: 035_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 035_convolutional [Conv] outputs: [035_convolutional -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 035_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 035_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 035_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 035_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 035_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 035_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 035_convolutional_bn [BatchNormalization] inputs: [035_convolutional -> (1, 128, 52, 52)], [035_convolutional_bn_scale -> (128)], [035_convolutional_bn_bias -> (128)], [035_convolutional_bn_mean -> (128)], [035_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 035_convolutional_bn for ONNX node: 035_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 035_convolutional_bn for ONNX tensor: 035_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 035_convolutional_bn [BatchNormalization] outputs: [035_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 035_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 035_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 035_convolutional_lrelu [LeakyRelu] inputs: [035_convolutional_bn -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 035_convolutional_lrelu for ONNX node: 035_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 035_convolutional_lrelu for ONNX tensor: 035_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 035_convolutional_lrelu [LeakyRelu] outputs: [035_convolutional_lrelu -> (1, 128, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 036_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 035_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 036_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 036_convolutional [Conv] inputs: [035_convolutional_lrelu -> (1, 128, 52, 52)], [036_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 036_convolutional for ONNX node: 036_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 036_convolutional for ONNX tensor: 036_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 036_convolutional [Conv] outputs: [036_convolutional -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 036_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 036_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 036_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 036_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 036_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 036_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 036_convolutional_bn [BatchNormalization] inputs: [036_convolutional -> (1, 256, 52, 52)], [036_convolutional_bn_scale -> (256)], [036_convolutional_bn_bias -> (256)], [036_convolutional_bn_mean -> (256)], [036_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 036_convolutional_bn for ONNX node: 036_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 036_convolutional_bn for ONNX tensor: 036_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 036_convolutional_bn [BatchNormalization] outputs: [036_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 036_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 036_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 036_convolutional_lrelu [LeakyRelu] inputs: [036_convolutional_bn -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 036_convolutional_lrelu for ONNX node: 036_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 036_convolutional_lrelu for ONNX tensor: 036_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 036_convolutional_lrelu [LeakyRelu] outputs: [036_convolutional_lrelu -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 037_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 036_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 034_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 037_shortcut [Add] inputs: [036_convolutional_lrelu -> (1, 256, 52, 52)], [034_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 037_shortcut for ONNX node: 037_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 037_shortcut for ONNX tensor: 037_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 037_shortcut [Add] outputs: [037_shortcut -> (1, 256, 52, 52)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 038_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 037_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 038_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 038_convolutional [Conv] inputs: [037_shortcut -> (1, 256, 52, 52)], [038_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 52, 52)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 038_convolutional for ONNX node: 038_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 038_convolutional for ONNX tensor: 038_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 038_convolutional [Conv] outputs: [038_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 038_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 038_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 038_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 038_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 038_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 038_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 038_convolutional_bn [BatchNormalization] inputs: [038_convolutional -> (1, 512, 26, 26)], [038_convolutional_bn_scale -> (512)], [038_convolutional_bn_bias -> (512)], [038_convolutional_bn_mean -> (512)], [038_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 038_convolutional_bn for ONNX node: 038_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 038_convolutional_bn for ONNX tensor: 038_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 038_convolutional_bn [BatchNormalization] outputs: [038_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 038_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 038_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 038_convolutional_lrelu [LeakyRelu] inputs: [038_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 038_convolutional_lrelu for ONNX node: 038_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 038_convolutional_lrelu for ONNX tensor: 038_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 038_convolutional_lrelu [LeakyRelu] outputs: [038_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 039_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 038_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 039_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 039_convolutional [Conv] inputs: [038_convolutional_lrelu -> (1, 512, 26, 26)], [039_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 039_convolutional for ONNX node: 039_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 039_convolutional for ONNX tensor: 039_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 039_convolutional [Conv] outputs: [039_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 039_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 039_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 039_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 039_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 039_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 039_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 039_convolutional_bn [BatchNormalization] inputs: [039_convolutional -> (1, 256, 26, 26)], [039_convolutional_bn_scale -> (256)], [039_convolutional_bn_bias -> (256)], [039_convolutional_bn_mean -> (256)], [039_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 039_convolutional_bn for ONNX node: 039_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 039_convolutional_bn for ONNX tensor: 039_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 039_convolutional_bn [BatchNormalization] outputs: [039_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 039_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 039_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 039_convolutional_lrelu [LeakyRelu] inputs: [039_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 039_convolutional_lrelu for ONNX node: 039_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 039_convolutional_lrelu for ONNX tensor: 039_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 039_convolutional_lrelu [LeakyRelu] outputs: [039_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 040_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 039_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 040_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 040_convolutional [Conv] inputs: [039_convolutional_lrelu -> (1, 256, 26, 26)], [040_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 040_convolutional for ONNX node: 040_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 040_convolutional for ONNX tensor: 040_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 040_convolutional [Conv] outputs: [040_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 040_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 040_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 040_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 040_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 040_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 040_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 040_convolutional_bn [BatchNormalization] inputs: [040_convolutional -> (1, 512, 26, 26)], [040_convolutional_bn_scale -> (512)], [040_convolutional_bn_bias -> (512)], [040_convolutional_bn_mean -> (512)], [040_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 040_convolutional_bn for ONNX node: 040_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 040_convolutional_bn for ONNX tensor: 040_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 040_convolutional_bn [BatchNormalization] outputs: [040_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 040_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 040_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 040_convolutional_lrelu [LeakyRelu] inputs: [040_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 040_convolutional_lrelu for ONNX node: 040_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 040_convolutional_lrelu for ONNX tensor: 040_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 040_convolutional_lrelu [LeakyRelu] outputs: [040_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 041_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 040_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 038_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:129: 041_shortcut [Add] inputs: [040_convolutional_lrelu -> (1, 512, 26, 26)], [038_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 041_shortcut for ONNX node: 041_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 041_shortcut for ONNX tensor: 041_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 041_shortcut [Add] outputs: [041_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 042_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 041_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 042_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 042_convolutional [Conv] inputs: [041_shortcut -> (1, 512, 26, 26)], [042_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 042_convolutional for ONNX node: 042_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 042_convolutional for ONNX tensor: 042_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 042_convolutional [Conv] outputs: [042_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 042_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 042_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 042_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 042_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 042_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 042_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 042_convolutional_bn [BatchNormalization] inputs: [042_convolutional -> (1, 256, 26, 26)], [042_convolutional_bn_scale -> (256)], [042_convolutional_bn_bias -> (256)], [042_convolutional_bn_mean -> (256)], [042_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 042_convolutional_bn for ONNX node: 042_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 042_convolutional_bn for ONNX tensor: 042_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 042_convolutional_bn [BatchNormalization] outputs: [042_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 042_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 042_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 042_convolutional_lrelu [LeakyRelu] inputs: [042_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 042_convolutional_lrelu for ONNX node: 042_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 042_convolutional_lrelu for ONNX tensor: 042_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 042_convolutional_lrelu [LeakyRelu] outputs: [042_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 043_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 042_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 043_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 043_convolutional [Conv] inputs: [042_convolutional_lrelu -> (1, 256, 26, 26)], [043_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 043_convolutional for ONNX node: 043_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 043_convolutional for ONNX tensor: 043_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 043_convolutional [Conv] outputs: [043_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 043_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 043_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 043_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 043_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 043_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 043_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 043_convolutional_bn [BatchNormalization] inputs: [043_convolutional -> (1, 512, 26, 26)], [043_convolutional_bn_scale -> (512)], [043_convolutional_bn_bias -> (512)], [043_convolutional_bn_mean -> (512)], [043_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 043_convolutional_bn for ONNX node: 043_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 043_convolutional_bn for ONNX tensor: 043_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 043_convolutional_bn [BatchNormalization] outputs: [043_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 043_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 043_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 043_convolutional_lrelu [LeakyRelu] inputs: [043_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 043_convolutional_lrelu for ONNX node: 043_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 043_convolutional_lrelu for ONNX tensor: 043_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 043_convolutional_lrelu [LeakyRelu] outputs: [043_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 044_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 043_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 041_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 044_shortcut [Add] inputs: [043_convolutional_lrelu -> (1, 512, 26, 26)], [041_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 044_shortcut for ONNX node: 044_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 044_shortcut for ONNX tensor: 044_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 044_shortcut [Add] outputs: [044_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 045_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 044_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 045_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 045_convolutional [Conv] inputs: [044_shortcut -> (1, 512, 26, 26)], [045_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 045_convolutional for ONNX node: 045_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 045_convolutional for ONNX tensor: 045_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 045_convolutional [Conv] outputs: [045_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 045_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 045_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 045_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 045_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 045_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 045_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 045_convolutional_bn [BatchNormalization] inputs: [045_convolutional -> (1, 256, 26, 26)], [045_convolutional_bn_scale -> (256)], [045_convolutional_bn_bias -> (256)], [045_convolutional_bn_mean -> (256)], [045_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 045_convolutional_bn for ONNX node: 045_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 045_convolutional_bn for ONNX tensor: 045_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 045_convolutional_bn [BatchNormalization] outputs: [045_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 045_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 045_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 045_convolutional_lrelu [LeakyRelu] inputs: [045_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 045_convolutional_lrelu for ONNX node: 045_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 045_convolutional_lrelu for ONNX tensor: 045_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 045_convolutional_lrelu [LeakyRelu] outputs: [045_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 046_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 045_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 046_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 046_convolutional [Conv] inputs: [045_convolutional_lrelu -> (1, 256, 26, 26)], [046_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 046_convolutional for ONNX node: 046_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 046_convolutional for ONNX tensor: 046_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 046_convolutional [Conv] outputs: [046_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 046_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 046_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 046_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 046_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 046_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 046_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 046_convolutional_bn [BatchNormalization] inputs: [046_convolutional -> (1, 512, 26, 26)], [046_convolutional_bn_scale -> (512)], [046_convolutional_bn_bias -> (512)], [046_convolutional_bn_mean -> (512)], [046_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 046_convolutional_bn for ONNX node: 046_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 046_convolutional_bn for ONNX tensor: 046_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 046_convolutional_bn [BatchNormalization] outputs: [046_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 046_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 046_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 046_convolutional_lrelu [LeakyRelu] inputs: [046_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 046_convolutional_lrelu for ONNX node: 046_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 046_convolutional_lrelu for ONNX tensor: 046_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 046_convolutional_lrelu [LeakyRelu] outputs: [046_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 047_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 046_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 044_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 047_shortcut [Add] inputs: [046_convolutional_lrelu -> (1, 512, 26, 26)], [044_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 047_shortcut for ONNX node: 047_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 047_shortcut for ONNX tensor: 047_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 047_shortcut [Add] outputs: [047_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 048_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 047_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 048_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 048_convolutional [Conv] inputs: [047_shortcut -> (1, 512, 26, 26)], [048_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 048_convolutional for ONNX node: 048_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 048_convolutional for ONNX tensor: 048_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 048_convolutional [Conv] outputs: [048_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 048_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 048_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 048_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 048_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 048_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 048_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 048_convolutional_bn [BatchNormalization] inputs: [048_convolutional -> (1, 256, 26, 26)], [048_convolutional_bn_scale -> (256)], [048_convolutional_bn_bias -> (256)], [048_convolutional_bn_mean -> (256)], [048_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 048_convolutional_bn for ONNX node: 048_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 048_convolutional_bn for ONNX tensor: 048_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 048_convolutional_bn [BatchNormalization] outputs: [048_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 048_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 048_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 048_convolutional_lrelu [LeakyRelu] inputs: [048_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 048_convolutional_lrelu for ONNX node: 048_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 048_convolutional_lrelu for ONNX tensor: 048_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 048_convolutional_lrelu [LeakyRelu] outputs: [048_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 049_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 048_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 049_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 049_convolutional [Conv] inputs: [048_convolutional_lrelu -> (1, 256, 26, 26)], [049_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 049_convolutional for ONNX node: 049_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 049_convolutional for ONNX tensor: 049_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 049_convolutional [Conv] outputs: [049_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 049_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 049_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 049_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 049_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 049_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 049_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 049_convolutional_bn [BatchNormalization] inputs: [049_convolutional -> (1, 512, 26, 26)], [049_convolutional_bn_scale -> (512)], [049_convolutional_bn_bias -> (512)], [049_convolutional_bn_mean -> (512)], [049_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 049_convolutional_bn for ONNX node: 049_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 049_convolutional_bn for ONNX tensor: 049_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 049_convolutional_bn [BatchNormalization] outputs: [049_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 049_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 049_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 049_convolutional_lrelu [LeakyRelu] inputs: [049_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 049_convolutional_lrelu for ONNX node: 049_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 049_convolutional_lrelu for ONNX tensor: 049_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 049_convolutional_lrelu [LeakyRelu] outputs: [049_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 050_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 049_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 047_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 050_shortcut [Add] inputs: [049_convolutional_lrelu -> (1, 512, 26, 26)], [047_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 050_shortcut for ONNX node: 050_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 050_shortcut for ONNX tensor: 050_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 050_shortcut [Add] outputs: [050_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 051_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 050_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 051_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 051_convolutional [Conv] inputs: [050_shortcut -> (1, 512, 26, 26)], [051_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 051_convolutional for ONNX node: 051_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 051_convolutional for ONNX tensor: 051_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 051_convolutional [Conv] outputs: [051_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 051_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 051_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 051_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 051_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 051_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 051_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 051_convolutional_bn [BatchNormalization] inputs: [051_convolutional -> (1, 256, 26, 26)], [051_convolutional_bn_scale -> (256)], [051_convolutional_bn_bias -> (256)], [051_convolutional_bn_mean -> (256)], [051_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 051_convolutional_bn for ONNX node: 051_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 051_convolutional_bn for ONNX tensor: 051_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 051_convolutional_bn [BatchNormalization] outputs: [051_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 051_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 051_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 051_convolutional_lrelu [LeakyRelu] inputs: [051_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 051_convolutional_lrelu for ONNX node: 051_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 051_convolutional_lrelu for ONNX tensor: 051_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 051_convolutional_lrelu [LeakyRelu] outputs: [051_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 052_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 051_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 052_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 052_convolutional [Conv] inputs: [051_convolutional_lrelu -> (1, 256, 26, 26)], [052_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 052_convolutional for ONNX node: 052_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 052_convolutional for ONNX tensor: 052_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 052_convolutional [Conv] outputs: [052_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 052_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 052_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 052_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 052_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 052_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 052_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 052_convolutional_bn [BatchNormalization] inputs: [052_convolutional -> (1, 512, 26, 26)], [052_convolutional_bn_scale -> (512)], [052_convolutional_bn_bias -> (512)], [052_convolutional_bn_mean -> (512)], [052_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 052_convolutional_bn for ONNX node: 052_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 052_convolutional_bn for ONNX tensor: 052_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 052_convolutional_bn [BatchNormalization] outputs: [052_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 052_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 052_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 052_convolutional_lrelu [LeakyRelu] inputs: [052_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 052_convolutional_lrelu for ONNX node: 052_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 052_convolutional_lrelu for ONNX tensor: 052_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 052_convolutional_lrelu [LeakyRelu] outputs: [052_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 053_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 052_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 050_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 053_shortcut [Add] inputs: [052_convolutional_lrelu -> (1, 512, 26, 26)], [050_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 053_shortcut for ONNX node: 053_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 053_shortcut for ONNX tensor: 053_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 053_shortcut [Add] outputs: [053_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 054_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 053_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 054_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 054_convolutional [Conv] inputs: [053_shortcut -> (1, 512, 26, 26)], [054_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 054_convolutional for ONNX node: 054_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 054_convolutional for ONNX tensor: 054_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 054_convolutional [Conv] outputs: [054_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 054_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 054_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 054_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 054_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 054_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 054_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 054_convolutional_bn [BatchNormalization] inputs: [054_convolutional -> (1, 256, 26, 26)], [054_convolutional_bn_scale -> (256)], [054_convolutional_bn_bias -> (256)], [054_convolutional_bn_mean -> (256)], [054_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 054_convolutional_bn for ONNX node: 054_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 054_convolutional_bn for ONNX tensor: 054_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 054_convolutional_bn [BatchNormalization] outputs: [054_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 054_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 054_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 054_convolutional_lrelu [LeakyRelu] inputs: [054_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 054_convolutional_lrelu for ONNX node: 054_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 054_convolutional_lrelu for ONNX tensor: 054_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 054_convolutional_lrelu [LeakyRelu] outputs: [054_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 055_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 054_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 055_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 055_convolutional [Conv] inputs: [054_convolutional_lrelu -> (1, 256, 26, 26)], [055_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 055_convolutional for ONNX node: 055_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 055_convolutional for ONNX tensor: 055_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 055_convolutional [Conv] outputs: [055_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 055_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 055_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 055_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 055_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 055_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 055_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 055_convolutional_bn [BatchNormalization] inputs: [055_convolutional -> (1, 512, 26, 26)], [055_convolutional_bn_scale -> (512)], [055_convolutional_bn_bias -> (512)], [055_convolutional_bn_mean -> (512)], [055_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 055_convolutional_bn for ONNX node: 055_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 055_convolutional_bn for ONNX tensor: 055_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 055_convolutional_bn [BatchNormalization] outputs: [055_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 055_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 055_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 055_convolutional_lrelu [LeakyRelu] inputs: [055_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 055_convolutional_lrelu for ONNX node: 055_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 055_convolutional_lrelu for ONNX tensor: 055_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 055_convolutional_lrelu [LeakyRelu] outputs: [055_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 056_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 055_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 053_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 056_shortcut [Add] inputs: [055_convolutional_lrelu -> (1, 512, 26, 26)], [053_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 056_shortcut for ONNX node: 056_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 056_shortcut for ONNX tensor: 056_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 056_shortcut [Add] outputs: [056_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 057_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 056_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 057_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 057_convolutional [Conv] inputs: [056_shortcut -> (1, 512, 26, 26)], [057_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 057_convolutional for ONNX node: 057_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 057_convolutional for ONNX tensor: 057_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 057_convolutional [Conv] outputs: [057_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 057_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 057_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 057_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 057_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 057_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 057_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 057_convolutional_bn [BatchNormalization] inputs: [057_convolutional -> (1, 256, 26, 26)], [057_convolutional_bn_scale -> (256)], [057_convolutional_bn_bias -> (256)], [057_convolutional_bn_mean -> (256)], [057_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 057_convolutional_bn for ONNX node: 057_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 057_convolutional_bn for ONNX tensor: 057_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 057_convolutional_bn [BatchNormalization] outputs: [057_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 057_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 057_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 057_convolutional_lrelu [LeakyRelu] inputs: [057_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 057_convolutional_lrelu for ONNX node: 057_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 057_convolutional_lrelu for ONNX tensor: 057_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 057_convolutional_lrelu [LeakyRelu] outputs: [057_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 058_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 057_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 058_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 058_convolutional [Conv] inputs: [057_convolutional_lrelu -> (1, 256, 26, 26)], [058_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 058_convolutional for ONNX node: 058_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 058_convolutional for ONNX tensor: 058_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 058_convolutional [Conv] outputs: [058_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 058_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 058_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 058_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 058_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 058_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 058_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 058_convolutional_bn [BatchNormalization] inputs: [058_convolutional -> (1, 512, 26, 26)], [058_convolutional_bn_scale -> (512)], [058_convolutional_bn_bias -> (512)], [058_convolutional_bn_mean -> (512)], [058_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 058_convolutional_bn for ONNX node: 058_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 058_convolutional_bn for ONNX tensor: 058_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 058_convolutional_bn [BatchNormalization] outputs: [058_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 058_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 058_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 058_convolutional_lrelu [LeakyRelu] inputs: [058_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 058_convolutional_lrelu for ONNX node: 058_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 058_convolutional_lrelu for ONNX tensor: 058_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 058_convolutional_lrelu [LeakyRelu] outputs: [058_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 059_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 058_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 056_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 059_shortcut [Add] inputs: [058_convolutional_lrelu -> (1, 512, 26, 26)], [056_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 059_shortcut for ONNX node: 059_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 059_shortcut for ONNX tensor: 059_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 059_shortcut [Add] outputs: [059_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 060_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 059_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 060_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 060_convolutional [Conv] inputs: [059_shortcut -> (1, 512, 26, 26)], [060_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 060_convolutional for ONNX node: 060_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 060_convolutional for ONNX tensor: 060_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 060_convolutional [Conv] outputs: [060_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 060_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 060_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 060_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 060_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 060_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 060_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 060_convolutional_bn [BatchNormalization] inputs: [060_convolutional -> (1, 256, 26, 26)], [060_convolutional_bn_scale -> (256)], [060_convolutional_bn_bias -> (256)], [060_convolutional_bn_mean -> (256)], [060_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 060_convolutional_bn for ONNX node: 060_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 060_convolutional_bn for ONNX tensor: 060_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 060_convolutional_bn [BatchNormalization] outputs: [060_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 060_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 060_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 060_convolutional_lrelu [LeakyRelu] inputs: [060_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 060_convolutional_lrelu for ONNX node: 060_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 060_convolutional_lrelu for ONNX tensor: 060_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 060_convolutional_lrelu [LeakyRelu] outputs: [060_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 061_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 060_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 061_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 061_convolutional [Conv] inputs: [060_convolutional_lrelu -> (1, 256, 26, 26)], [061_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 061_convolutional for ONNX node: 061_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 061_convolutional for ONNX tensor: 061_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 061_convolutional [Conv] outputs: [061_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 061_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 061_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 061_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 061_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 061_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 061_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 061_convolutional_bn [BatchNormalization] inputs: [061_convolutional -> (1, 512, 26, 26)], [061_convolutional_bn_scale -> (512)], [061_convolutional_bn_bias -> (512)], [061_convolutional_bn_mean -> (512)], [061_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 061_convolutional_bn for ONNX node: 061_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 061_convolutional_bn for ONNX tensor: 061_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 061_convolutional_bn [BatchNormalization] outputs: [061_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 061_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 061_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 061_convolutional_lrelu [LeakyRelu] inputs: [061_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 061_convolutional_lrelu for ONNX node: 061_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 061_convolutional_lrelu for ONNX tensor: 061_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 061_convolutional_lrelu [LeakyRelu] outputs: [061_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 062_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 061_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 059_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 062_shortcut [Add] inputs: [061_convolutional_lrelu -> (1, 512, 26, 26)], [059_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 062_shortcut for ONNX node: 062_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 062_shortcut for ONNX tensor: 062_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 062_shortcut [Add] outputs: [062_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 063_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 062_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 063_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 063_convolutional [Conv] inputs: [062_shortcut -> (1, 512, 26, 26)], [063_convolutional_conv_weights -> (1024, 512, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (2, 2), padding: (0, 0), dilations: (1, 1), numOutputs: 1024
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 063_convolutional for ONNX node: 063_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 063_convolutional for ONNX tensor: 063_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 063_convolutional [Conv] outputs: [063_convolutional -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 063_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 063_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 063_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 063_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 063_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 063_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 063_convolutional_bn [BatchNormalization] inputs: [063_convolutional -> (1, 1024, 13, 13)], [063_convolutional_bn_scale -> (1024)], [063_convolutional_bn_bias -> (1024)], [063_convolutional_bn_mean -> (1024)], [063_convolutional_bn_var -> (1024)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 063_convolutional_bn for ONNX node: 063_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 063_convolutional_bn for ONNX tensor: 063_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 063_convolutional_bn [BatchNormalization] outputs: [063_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 063_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 063_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 063_convolutional_lrelu [LeakyRelu] inputs: [063_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 063_convolutional_lrelu for ONNX node: 063_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 063_convolutional_lrelu for ONNX tensor: 063_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 063_convolutional_lrelu [LeakyRelu] outputs: [063_convolutional_lrelu -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 064_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 063_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 064_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 064_convolutional [Conv] inputs: [063_convolutional_lrelu -> (1, 1024, 13, 13)], [064_convolutional_conv_weights -> (512, 1024, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 064_convolutional for ONNX node: 064_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 064_convolutional for ONNX tensor: 064_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 064_convolutional [Conv] outputs: [064_convolutional -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 064_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 064_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 064_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 064_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 064_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 064_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 064_convolutional_bn [BatchNormalization] inputs: [064_convolutional -> (1, 512, 13, 13)], [064_convolutional_bn_scale -> (512)], [064_convolutional_bn_bias -> (512)], [064_convolutional_bn_mean -> (512)], [064_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 064_convolutional_bn for ONNX node: 064_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 064_convolutional_bn for ONNX tensor: 064_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 064_convolutional_bn [BatchNormalization] outputs: [064_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 064_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 064_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 064_convolutional_lrelu [LeakyRelu] inputs: [064_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 064_convolutional_lrelu for ONNX node: 064_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 064_convolutional_lrelu for ONNX tensor: 064_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 064_convolutional_lrelu [LeakyRelu] outputs: [064_convolutional_lrelu -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 065_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 064_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 065_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 065_convolutional [Conv] inputs: [064_convolutional_lrelu -> (1, 512, 13, 13)], [065_convolutional_conv_weights -> (1024, 512, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 1024
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 065_convolutional for ONNX node: 065_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 065_convolutional for ONNX tensor: 065_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 065_convolutional [Conv] outputs: [065_convolutional -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 065_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 065_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 065_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 065_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 065_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 065_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 065_convolutional_bn [BatchNormalization] inputs: [065_convolutional -> (1, 1024, 13, 13)], [065_convolutional_bn_scale -> (1024)], [065_convolutional_bn_bias -> (1024)], [065_convolutional_bn_mean -> (1024)], [065_convolutional_bn_var -> (1024)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 065_convolutional_bn for ONNX node: 065_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 065_convolutional_bn for ONNX tensor: 065_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 065_convolutional_bn [BatchNormalization] outputs: [065_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 065_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 065_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 065_convolutional_lrelu [LeakyRelu] inputs: [065_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 065_convolutional_lrelu for ONNX node: 065_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 065_convolutional_lrelu for ONNX tensor: 065_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 065_convolutional_lrelu [LeakyRelu] outputs: [065_convolutional_lrelu -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 066_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 065_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 063_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:129: 066_shortcut [Add] inputs: [065_convolutional_lrelu -> (1, 1024, 13, 13)], [063_convolutional_lrelu -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 066_shortcut for ONNX node: 066_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 066_shortcut for ONNX tensor: 066_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 066_shortcut [Add] outputs: [066_shortcut -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 067_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 066_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 067_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 067_convolutional [Conv] inputs: [066_shortcut -> (1, 1024, 13, 13)], [067_convolutional_conv_weights -> (512, 1024, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 067_convolutional for ONNX node: 067_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 067_convolutional for ONNX tensor: 067_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 067_convolutional [Conv] outputs: [067_convolutional -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 067_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 067_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 067_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 067_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 067_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 067_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 067_convolutional_bn [BatchNormalization] inputs: [067_convolutional -> (1, 512, 13, 13)], [067_convolutional_bn_scale -> (512)], [067_convolutional_bn_bias -> (512)], [067_convolutional_bn_mean -> (512)], [067_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 067_convolutional_bn for ONNX node: 067_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 067_convolutional_bn for ONNX tensor: 067_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 067_convolutional_bn [BatchNormalization] outputs: [067_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 067_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 067_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 067_convolutional_lrelu [LeakyRelu] inputs: [067_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 067_convolutional_lrelu for ONNX node: 067_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 067_convolutional_lrelu for ONNX tensor: 067_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 067_convolutional_lrelu [LeakyRelu] outputs: [067_convolutional_lrelu -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 068_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 067_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 068_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 068_convolutional [Conv] inputs: [067_convolutional_lrelu -> (1, 512, 13, 13)], [068_convolutional_conv_weights -> (1024, 512, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 1024
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 068_convolutional for ONNX node: 068_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 068_convolutional for ONNX tensor: 068_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 068_convolutional [Conv] outputs: [068_convolutional -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 068_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 068_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 068_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 068_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 068_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 068_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 068_convolutional_bn [BatchNormalization] inputs: [068_convolutional -> (1, 1024, 13, 13)], [068_convolutional_bn_scale -> (1024)], [068_convolutional_bn_bias -> (1024)], [068_convolutional_bn_mean -> (1024)], [068_convolutional_bn_var -> (1024)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 068_convolutional_bn for ONNX node: 068_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 068_convolutional_bn for ONNX tensor: 068_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 068_convolutional_bn [BatchNormalization] outputs: [068_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 068_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 068_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 068_convolutional_lrelu [LeakyRelu] inputs: [068_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 068_convolutional_lrelu for ONNX node: 068_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 068_convolutional_lrelu for ONNX tensor: 068_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 068_convolutional_lrelu [LeakyRelu] outputs: [068_convolutional_lrelu -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 069_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 068_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 066_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 069_shortcut [Add] inputs: [068_convolutional_lrelu -> (1, 1024, 13, 13)], [066_shortcut -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 069_shortcut for ONNX node: 069_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 069_shortcut for ONNX tensor: 069_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 069_shortcut [Add] outputs: [069_shortcut -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 070_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 069_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 070_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 070_convolutional [Conv] inputs: [069_shortcut -> (1, 1024, 13, 13)], [070_convolutional_conv_weights -> (512, 1024, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 070_convolutional for ONNX node: 070_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 070_convolutional for ONNX tensor: 070_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 070_convolutional [Conv] outputs: [070_convolutional -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 070_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 070_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 070_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 070_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 070_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 070_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 070_convolutional_bn [BatchNormalization] inputs: [070_convolutional -> (1, 512, 13, 13)], [070_convolutional_bn_scale -> (512)], [070_convolutional_bn_bias -> (512)], [070_convolutional_bn_mean -> (512)], [070_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 070_convolutional_bn for ONNX node: 070_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 070_convolutional_bn for ONNX tensor: 070_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 070_convolutional_bn [BatchNormalization] outputs: [070_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 070_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 070_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 070_convolutional_lrelu [LeakyRelu] inputs: [070_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 070_convolutional_lrelu for ONNX node: 070_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 070_convolutional_lrelu for ONNX tensor: 070_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 070_convolutional_lrelu [LeakyRelu] outputs: [070_convolutional_lrelu -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 071_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 070_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 071_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 071_convolutional [Conv] inputs: [070_convolutional_lrelu -> (1, 512, 13, 13)], [071_convolutional_conv_weights -> (1024, 512, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 1024
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 071_convolutional for ONNX node: 071_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 071_convolutional for ONNX tensor: 071_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 071_convolutional [Conv] outputs: [071_convolutional -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 071_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 071_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 071_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 071_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 071_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 071_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 071_convolutional_bn [BatchNormalization] inputs: [071_convolutional -> (1, 1024, 13, 13)], [071_convolutional_bn_scale -> (1024)], [071_convolutional_bn_bias -> (1024)], [071_convolutional_bn_mean -> (1024)], [071_convolutional_bn_var -> (1024)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 071_convolutional_bn for ONNX node: 071_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 071_convolutional_bn for ONNX tensor: 071_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 071_convolutional_bn [BatchNormalization] outputs: [071_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 071_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 071_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 071_convolutional_lrelu [LeakyRelu] inputs: [071_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 071_convolutional_lrelu for ONNX node: 071_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 071_convolutional_lrelu for ONNX tensor: 071_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 071_convolutional_lrelu [LeakyRelu] outputs: [071_convolutional_lrelu -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 072_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 071_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 069_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 072_shortcut [Add] inputs: [071_convolutional_lrelu -> (1, 1024, 13, 13)], [069_shortcut -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 072_shortcut for ONNX node: 072_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 072_shortcut for ONNX tensor: 072_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 072_shortcut [Add] outputs: [072_shortcut -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 073_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 072_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 073_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 073_convolutional [Conv] inputs: [072_shortcut -> (1, 1024, 13, 13)], [073_convolutional_conv_weights -> (512, 1024, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 073_convolutional for ONNX node: 073_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 073_convolutional for ONNX tensor: 073_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 073_convolutional [Conv] outputs: [073_convolutional -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 073_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 073_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 073_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 073_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 073_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 073_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 073_convolutional_bn [BatchNormalization] inputs: [073_convolutional -> (1, 512, 13, 13)], [073_convolutional_bn_scale -> (512)], [073_convolutional_bn_bias -> (512)], [073_convolutional_bn_mean -> (512)], [073_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 073_convolutional_bn for ONNX node: 073_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 073_convolutional_bn for ONNX tensor: 073_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 073_convolutional_bn [BatchNormalization] outputs: [073_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 073_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 073_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 073_convolutional_lrelu [LeakyRelu] inputs: [073_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 073_convolutional_lrelu for ONNX node: 073_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 073_convolutional_lrelu for ONNX tensor: 073_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 073_convolutional_lrelu [LeakyRelu] outputs: [073_convolutional_lrelu -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 074_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 073_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 074_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 074_convolutional [Conv] inputs: [073_convolutional_lrelu -> (1, 512, 13, 13)], [074_convolutional_conv_weights -> (1024, 512, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 1024
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 074_convolutional for ONNX node: 074_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 074_convolutional for ONNX tensor: 074_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 074_convolutional [Conv] outputs: [074_convolutional -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 074_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 074_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 074_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 074_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 074_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 074_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 074_convolutional_bn [BatchNormalization] inputs: [074_convolutional -> (1, 1024, 13, 13)], [074_convolutional_bn_scale -> (1024)], [074_convolutional_bn_bias -> (1024)], [074_convolutional_bn_mean -> (1024)], [074_convolutional_bn_var -> (1024)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 074_convolutional_bn for ONNX node: 074_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 074_convolutional_bn for ONNX tensor: 074_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 074_convolutional_bn [BatchNormalization] outputs: [074_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 074_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 074_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 074_convolutional_lrelu [LeakyRelu] inputs: [074_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 074_convolutional_lrelu for ONNX node: 074_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 074_convolutional_lrelu for ONNX tensor: 074_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 074_convolutional_lrelu [LeakyRelu] outputs: [074_convolutional_lrelu -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 075_shortcut [Add]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 074_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 072_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 075_shortcut [Add] inputs: [074_convolutional_lrelu -> (1, 1024, 13, 13)], [072_shortcut -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 075_shortcut for ONNX node: 075_shortcut
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 075_shortcut for ONNX tensor: 075_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:180: 075_shortcut [Add] outputs: [075_shortcut -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 076_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 075_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 076_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 076_convolutional [Conv] inputs: [075_shortcut -> (1, 1024, 13, 13)], [076_convolutional_conv_weights -> (512, 1024, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 076_convolutional for ONNX node: 076_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 076_convolutional for ONNX tensor: 076_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 076_convolutional [Conv] outputs: [076_convolutional -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 076_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 076_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 076_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 076_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 076_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 076_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 076_convolutional_bn [BatchNormalization] inputs: [076_convolutional -> (1, 512, 13, 13)], [076_convolutional_bn_scale -> (512)], [076_convolutional_bn_bias -> (512)], [076_convolutional_bn_mean -> (512)], [076_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 076_convolutional_bn for ONNX node: 076_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 076_convolutional_bn for ONNX tensor: 076_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 076_convolutional_bn [BatchNormalization] outputs: [076_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 076_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 076_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 076_convolutional_lrelu [LeakyRelu] inputs: [076_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 076_convolutional_lrelu for ONNX node: 076_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 076_convolutional_lrelu for ONNX tensor: 076_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 076_convolutional_lrelu [LeakyRelu] outputs: [076_convolutional_lrelu -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 077_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 076_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 077_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 077_convolutional [Conv] inputs: [076_convolutional_lrelu -> (1, 512, 13, 13)], [077_convolutional_conv_weights -> (1024, 512, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 1024
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 077_convolutional for ONNX node: 077_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 077_convolutional for ONNX tensor: 077_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 077_convolutional [Conv] outputs: [077_convolutional -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 077_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 077_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 077_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 077_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 077_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 077_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 077_convolutional_bn [BatchNormalization] inputs: [077_convolutional -> (1, 1024, 13, 13)], [077_convolutional_bn_scale -> (1024)], [077_convolutional_bn_bias -> (1024)], [077_convolutional_bn_mean -> (1024)], [077_convolutional_bn_var -> (1024)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 077_convolutional_bn for ONNX node: 077_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 077_convolutional_bn for ONNX tensor: 077_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 077_convolutional_bn [BatchNormalization] outputs: [077_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 077_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 077_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 077_convolutional_lrelu [LeakyRelu] inputs: [077_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 077_convolutional_lrelu for ONNX node: 077_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 077_convolutional_lrelu for ONNX tensor: 077_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 077_convolutional_lrelu [LeakyRelu] outputs: [077_convolutional_lrelu -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 078_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 077_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 078_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 078_convolutional [Conv] inputs: [077_convolutional_lrelu -> (1, 1024, 13, 13)], [078_convolutional_conv_weights -> (512, 1024, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 078_convolutional for ONNX node: 078_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 078_convolutional for ONNX tensor: 078_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 078_convolutional [Conv] outputs: [078_convolutional -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 078_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 078_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 078_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 078_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 078_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 078_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 078_convolutional_bn [BatchNormalization] inputs: [078_convolutional -> (1, 512, 13, 13)], [078_convolutional_bn_scale -> (512)], [078_convolutional_bn_bias -> (512)], [078_convolutional_bn_mean -> (512)], [078_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 078_convolutional_bn for ONNX node: 078_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 078_convolutional_bn for ONNX tensor: 078_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 078_convolutional_bn [BatchNormalization] outputs: [078_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 078_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 078_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 078_convolutional_lrelu [LeakyRelu] inputs: [078_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 078_convolutional_lrelu for ONNX node: 078_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 078_convolutional_lrelu for ONNX tensor: 078_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 078_convolutional_lrelu [LeakyRelu] outputs: [078_convolutional_lrelu -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 079_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 078_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 079_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 079_convolutional [Conv] inputs: [078_convolutional_lrelu -> (1, 512, 13, 13)], [079_convolutional_conv_weights -> (1024, 512, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 1024
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 079_convolutional for ONNX node: 079_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 079_convolutional for ONNX tensor: 079_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 079_convolutional [Conv] outputs: [079_convolutional -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 079_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 079_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 079_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 079_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 079_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 079_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 079_convolutional_bn [BatchNormalization] inputs: [079_convolutional -> (1, 1024, 13, 13)], [079_convolutional_bn_scale -> (1024)], [079_convolutional_bn_bias -> (1024)], [079_convolutional_bn_mean -> (1024)], [079_convolutional_bn_var -> (1024)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 079_convolutional_bn for ONNX node: 079_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 079_convolutional_bn for ONNX tensor: 079_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 079_convolutional_bn [BatchNormalization] outputs: [079_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 079_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 079_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 079_convolutional_lrelu [LeakyRelu] inputs: [079_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 079_convolutional_lrelu for ONNX node: 079_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 079_convolutional_lrelu for ONNX tensor: 079_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 079_convolutional_lrelu [LeakyRelu] outputs: [079_convolutional_lrelu -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 080_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 079_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 080_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 080_convolutional [Conv] inputs: [079_convolutional_lrelu -> (1, 1024, 13, 13)], [080_convolutional_conv_weights -> (512, 1024, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 080_convolutional for ONNX node: 080_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 080_convolutional for ONNX tensor: 080_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 080_convolutional [Conv] outputs: [080_convolutional -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 080_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 080_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 080_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 080_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 080_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 080_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 080_convolutional_bn [BatchNormalization] inputs: [080_convolutional -> (1, 512, 13, 13)], [080_convolutional_bn_scale -> (512)], [080_convolutional_bn_bias -> (512)], [080_convolutional_bn_mean -> (512)], [080_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 080_convolutional_bn for ONNX node: 080_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 080_convolutional_bn for ONNX tensor: 080_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 080_convolutional_bn [BatchNormalization] outputs: [080_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 080_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 080_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 080_convolutional_lrelu [LeakyRelu] inputs: [080_convolutional_bn -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 080_convolutional_lrelu for ONNX node: 080_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 080_convolutional_lrelu for ONNX tensor: 080_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 080_convolutional_lrelu [LeakyRelu] outputs: [080_convolutional_lrelu -> (1, 512, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 081_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 080_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 081_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 081_convolutional [Conv] inputs: [080_convolutional_lrelu -> (1, 512, 13, 13)], [081_convolutional_conv_weights -> (1024, 512, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 1024
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 081_convolutional for ONNX node: 081_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 081_convolutional for ONNX tensor: 081_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 081_convolutional [Conv] outputs: [081_convolutional -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 081_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 081_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 081_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 081_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 081_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 081_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 081_convolutional_bn [BatchNormalization] inputs: [081_convolutional -> (1, 1024, 13, 13)], [081_convolutional_bn_scale -> (1024)], [081_convolutional_bn_bias -> (1024)], [081_convolutional_bn_mean -> (1024)], [081_convolutional_bn_var -> (1024)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 081_convolutional_bn for ONNX node: 081_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 081_convolutional_bn for ONNX tensor: 081_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 081_convolutional_bn [BatchNormalization] outputs: [081_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 081_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 081_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 081_convolutional_lrelu [LeakyRelu] inputs: [081_convolutional_bn -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 081_convolutional_lrelu for ONNX node: 081_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 081_convolutional_lrelu for ONNX tensor: 081_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 081_convolutional_lrelu [LeakyRelu] outputs: [081_convolutional_lrelu -> (1, 1024, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 082_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 081_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 082_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 082_convolutional_conv_bias
[TensorRT] VERBOSE: ModelImporter.cpp:129: 082_convolutional [Conv] inputs: [081_convolutional_lrelu -> (1, 1024, 13, 13)], [082_convolutional_conv_weights -> (30, 1024, 1, 1)], [082_convolutional_conv_bias -> (30)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 1024, 13, 13)
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 30
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 30, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 082_convolutional for ONNX node: 082_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 082_convolutional_1 for ONNX tensor: 082_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 082_convolutional [Conv] outputs: [082_convolutional -> (1, 30, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 085_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 080_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 085_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 085_convolutional [Conv] inputs: [080_convolutional_lrelu -> (1, 512, 13, 13)], [085_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 13, 13)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 13, 13)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 085_convolutional for ONNX node: 085_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 085_convolutional for ONNX tensor: 085_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 085_convolutional [Conv] outputs: [085_convolutional -> (1, 256, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 085_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 085_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 085_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 085_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 085_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 085_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 085_convolutional_bn [BatchNormalization] inputs: [085_convolutional -> (1, 256, 13, 13)], [085_convolutional_bn_scale -> (256)], [085_convolutional_bn_bias -> (256)], [085_convolutional_bn_mean -> (256)], [085_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 085_convolutional_bn for ONNX node: 085_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 085_convolutional_bn for ONNX tensor: 085_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 085_convolutional_bn [BatchNormalization] outputs: [085_convolutional_bn -> (1, 256, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 085_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 085_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 085_convolutional_lrelu [LeakyRelu] inputs: [085_convolutional_bn -> (1, 256, 13, 13)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 085_convolutional_lrelu for ONNX node: 085_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 085_convolutional_lrelu for ONNX tensor: 085_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 085_convolutional_lrelu [LeakyRelu] outputs: [085_convolutional_lrelu -> (1, 256, 13, 13)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 086_upsample [Upsample]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 085_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 086_upsample_scale
[TensorRT] VERBOSE: ModelImporter.cpp:129: 086_upsample [Upsample] inputs: [085_convolutional_lrelu -> (1, 256, 13, 13)], [086_upsample_scale -> (4)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 086_upsample for ONNX node: 086_upsample
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 086_upsample for ONNX tensor: 086_upsample
[TensorRT] VERBOSE: ModelImporter.cpp:180: 086_upsample [Upsample] outputs: [086_upsample -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 087_route [Concat]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 086_upsample
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 062_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 087_route [Concat] inputs: [086_upsample -> (1, 256, 26, 26)], [062_shortcut -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 087_route for ONNX node: 087_route
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 087_route for ONNX tensor: 087_route
[TensorRT] VERBOSE: ModelImporter.cpp:180: 087_route [Concat] outputs: [087_route -> (1, 768, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 088_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 087_route
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 088_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 088_convolutional [Conv] inputs: [087_route -> (1, 768, 26, 26)], [088_convolutional_conv_weights -> (256, 768, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 768, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 088_convolutional for ONNX node: 088_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 088_convolutional for ONNX tensor: 088_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 088_convolutional [Conv] outputs: [088_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 088_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 088_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 088_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 088_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 088_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 088_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 088_convolutional_bn [BatchNormalization] inputs: [088_convolutional -> (1, 256, 26, 26)], [088_convolutional_bn_scale -> (256)], [088_convolutional_bn_bias -> (256)], [088_convolutional_bn_mean -> (256)], [088_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 088_convolutional_bn for ONNX node: 088_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 088_convolutional_bn for ONNX tensor: 088_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 088_convolutional_bn [BatchNormalization] outputs: [088_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 088_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 088_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 088_convolutional_lrelu [LeakyRelu] inputs: [088_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 088_convolutional_lrelu for ONNX node: 088_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 088_convolutional_lrelu for ONNX tensor: 088_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 088_convolutional_lrelu [LeakyRelu] outputs: [088_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 089_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 088_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 089_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 089_convolutional [Conv] inputs: [088_convolutional_lrelu -> (1, 256, 26, 26)], [089_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 089_convolutional for ONNX node: 089_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 089_convolutional for ONNX tensor: 089_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 089_convolutional [Conv] outputs: [089_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 089_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 089_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 089_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 089_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 089_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 089_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 089_convolutional_bn [BatchNormalization] inputs: [089_convolutional -> (1, 512, 26, 26)], [089_convolutional_bn_scale -> (512)], [089_convolutional_bn_bias -> (512)], [089_convolutional_bn_mean -> (512)], [089_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 089_convolutional_bn for ONNX node: 089_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 089_convolutional_bn for ONNX tensor: 089_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 089_convolutional_bn [BatchNormalization] outputs: [089_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 089_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 089_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 089_convolutional_lrelu [LeakyRelu] inputs: [089_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 089_convolutional_lrelu for ONNX node: 089_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 089_convolutional_lrelu for ONNX tensor: 089_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 089_convolutional_lrelu [LeakyRelu] outputs: [089_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 090_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 089_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 090_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 090_convolutional [Conv] inputs: [089_convolutional_lrelu -> (1, 512, 26, 26)], [090_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 090_convolutional for ONNX node: 090_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 090_convolutional for ONNX tensor: 090_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 090_convolutional [Conv] outputs: [090_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 090_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 090_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 090_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 090_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 090_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 090_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 090_convolutional_bn [BatchNormalization] inputs: [090_convolutional -> (1, 256, 26, 26)], [090_convolutional_bn_scale -> (256)], [090_convolutional_bn_bias -> (256)], [090_convolutional_bn_mean -> (256)], [090_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 090_convolutional_bn for ONNX node: 090_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 090_convolutional_bn for ONNX tensor: 090_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 090_convolutional_bn [BatchNormalization] outputs: [090_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 090_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 090_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 090_convolutional_lrelu [LeakyRelu] inputs: [090_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 090_convolutional_lrelu for ONNX node: 090_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 090_convolutional_lrelu for ONNX tensor: 090_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 090_convolutional_lrelu [LeakyRelu] outputs: [090_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 091_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 090_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 091_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 091_convolutional [Conv] inputs: [090_convolutional_lrelu -> (1, 256, 26, 26)], [091_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 091_convolutional for ONNX node: 091_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 091_convolutional for ONNX tensor: 091_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 091_convolutional [Conv] outputs: [091_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 091_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 091_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 091_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 091_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 091_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 091_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 091_convolutional_bn [BatchNormalization] inputs: [091_convolutional -> (1, 512, 26, 26)], [091_convolutional_bn_scale -> (512)], [091_convolutional_bn_bias -> (512)], [091_convolutional_bn_mean -> (512)], [091_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 091_convolutional_bn for ONNX node: 091_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 091_convolutional_bn for ONNX tensor: 091_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 091_convolutional_bn [BatchNormalization] outputs: [091_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 091_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 091_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 091_convolutional_lrelu [LeakyRelu] inputs: [091_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 091_convolutional_lrelu for ONNX node: 091_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 091_convolutional_lrelu for ONNX tensor: 091_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 091_convolutional_lrelu [LeakyRelu] outputs: [091_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 092_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 091_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 092_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 092_convolutional [Conv] inputs: [091_convolutional_lrelu -> (1, 512, 26, 26)], [092_convolutional_conv_weights -> (256, 512, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 092_convolutional for ONNX node: 092_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 092_convolutional for ONNX tensor: 092_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 092_convolutional [Conv] outputs: [092_convolutional -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 092_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 092_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 092_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 092_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 092_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 092_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 092_convolutional_bn [BatchNormalization] inputs: [092_convolutional -> (1, 256, 26, 26)], [092_convolutional_bn_scale -> (256)], [092_convolutional_bn_bias -> (256)], [092_convolutional_bn_mean -> (256)], [092_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 092_convolutional_bn for ONNX node: 092_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 092_convolutional_bn for ONNX tensor: 092_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 092_convolutional_bn [BatchNormalization] outputs: [092_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 092_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 092_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 092_convolutional_lrelu [LeakyRelu] inputs: [092_convolutional_bn -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 092_convolutional_lrelu for ONNX node: 092_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 092_convolutional_lrelu for ONNX tensor: 092_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 092_convolutional_lrelu [LeakyRelu] outputs: [092_convolutional_lrelu -> (1, 256, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 093_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 092_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 093_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 093_convolutional [Conv] inputs: [092_convolutional_lrelu -> (1, 256, 26, 26)], [093_convolutional_conv_weights -> (512, 256, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 512
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 093_convolutional for ONNX node: 093_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 093_convolutional for ONNX tensor: 093_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 093_convolutional [Conv] outputs: [093_convolutional -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 093_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 093_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 093_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 093_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 093_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 093_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 093_convolutional_bn [BatchNormalization] inputs: [093_convolutional -> (1, 512, 26, 26)], [093_convolutional_bn_scale -> (512)], [093_convolutional_bn_bias -> (512)], [093_convolutional_bn_mean -> (512)], [093_convolutional_bn_var -> (512)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 093_convolutional_bn for ONNX node: 093_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 093_convolutional_bn for ONNX tensor: 093_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 093_convolutional_bn [BatchNormalization] outputs: [093_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 093_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 093_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 093_convolutional_lrelu [LeakyRelu] inputs: [093_convolutional_bn -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 093_convolutional_lrelu for ONNX node: 093_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 093_convolutional_lrelu for ONNX tensor: 093_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 093_convolutional_lrelu [LeakyRelu] outputs: [093_convolutional_lrelu -> (1, 512, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 094_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 093_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 094_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 094_convolutional_conv_bias
[TensorRT] VERBOSE: ModelImporter.cpp:129: 094_convolutional [Conv] inputs: [093_convolutional_lrelu -> (1, 512, 26, 26)], [094_convolutional_conv_weights -> (30, 512, 1, 1)], [094_convolutional_conv_bias -> (30)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 512, 26, 26)
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 30
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 30, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 094_convolutional for ONNX node: 094_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 094_convolutional_1 for ONNX tensor: 094_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 094_convolutional [Conv] outputs: [094_convolutional -> (1, 30, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 097_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 092_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 097_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 097_convolutional [Conv] inputs: [092_convolutional_lrelu -> (1, 256, 26, 26)], [097_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 26, 26)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 26, 26)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 097_convolutional for ONNX node: 097_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 097_convolutional for ONNX tensor: 097_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 097_convolutional [Conv] outputs: [097_convolutional -> (1, 128, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 097_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 097_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 097_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 097_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 097_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 097_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 097_convolutional_bn [BatchNormalization] inputs: [097_convolutional -> (1, 128, 26, 26)], [097_convolutional_bn_scale -> (128)], [097_convolutional_bn_bias -> (128)], [097_convolutional_bn_mean -> (128)], [097_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 097_convolutional_bn for ONNX node: 097_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 097_convolutional_bn for ONNX tensor: 097_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 097_convolutional_bn [BatchNormalization] outputs: [097_convolutional_bn -> (1, 128, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 097_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 097_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 097_convolutional_lrelu [LeakyRelu] inputs: [097_convolutional_bn -> (1, 128, 26, 26)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 097_convolutional_lrelu for ONNX node: 097_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 097_convolutional_lrelu for ONNX tensor: 097_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 097_convolutional_lrelu [LeakyRelu] outputs: [097_convolutional_lrelu -> (1, 128, 26, 26)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 098_upsample [Upsample]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 097_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 098_upsample_scale
[TensorRT] VERBOSE: ModelImporter.cpp:129: 098_upsample [Upsample] inputs: [097_convolutional_lrelu -> (1, 128, 26, 26)], [098_upsample_scale -> (4)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 098_upsample for ONNX node: 098_upsample
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 098_upsample for ONNX tensor: 098_upsample
[TensorRT] VERBOSE: ModelImporter.cpp:180: 098_upsample [Upsample] outputs: [098_upsample -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 099_route [Concat]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 098_upsample
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 012_shortcut
[TensorRT] VERBOSE: ModelImporter.cpp:129: 099_route [Concat] inputs: [098_upsample -> (1, 128, 104, 104)], [012_shortcut -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 099_route for ONNX node: 099_route
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 099_route for ONNX tensor: 099_route
[TensorRT] VERBOSE: ModelImporter.cpp:180: 099_route [Concat] outputs: [099_route -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 100_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 099_route
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 100_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 100_convolutional [Conv] inputs: [099_route -> (1, 256, 104, 104)], [100_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 100_convolutional for ONNX node: 100_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 100_convolutional for ONNX tensor: 100_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 100_convolutional [Conv] outputs: [100_convolutional -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 100_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 100_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 100_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 100_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 100_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 100_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 100_convolutional_bn [BatchNormalization] inputs: [100_convolutional -> (1, 128, 104, 104)], [100_convolutional_bn_scale -> (128)], [100_convolutional_bn_bias -> (128)], [100_convolutional_bn_mean -> (128)], [100_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 100_convolutional_bn for ONNX node: 100_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 100_convolutional_bn for ONNX tensor: 100_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 100_convolutional_bn [BatchNormalization] outputs: [100_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 100_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 100_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 100_convolutional_lrelu [LeakyRelu] inputs: [100_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 100_convolutional_lrelu for ONNX node: 100_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 100_convolutional_lrelu for ONNX tensor: 100_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 100_convolutional_lrelu [LeakyRelu] outputs: [100_convolutional_lrelu -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 101_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 100_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 101_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 101_convolutional [Conv] inputs: [100_convolutional_lrelu -> (1, 128, 104, 104)], [101_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 101_convolutional for ONNX node: 101_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 101_convolutional for ONNX tensor: 101_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 101_convolutional [Conv] outputs: [101_convolutional -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 101_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 101_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 101_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 101_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 101_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 101_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 101_convolutional_bn [BatchNormalization] inputs: [101_convolutional -> (1, 256, 104, 104)], [101_convolutional_bn_scale -> (256)], [101_convolutional_bn_bias -> (256)], [101_convolutional_bn_mean -> (256)], [101_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 101_convolutional_bn for ONNX node: 101_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 101_convolutional_bn for ONNX tensor: 101_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 101_convolutional_bn [BatchNormalization] outputs: [101_convolutional_bn -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 101_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 101_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 101_convolutional_lrelu [LeakyRelu] inputs: [101_convolutional_bn -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 101_convolutional_lrelu for ONNX node: 101_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 101_convolutional_lrelu for ONNX tensor: 101_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 101_convolutional_lrelu [LeakyRelu] outputs: [101_convolutional_lrelu -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 102_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 101_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 102_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 102_convolutional [Conv] inputs: [101_convolutional_lrelu -> (1, 256, 104, 104)], [102_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 102_convolutional for ONNX node: 102_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 102_convolutional for ONNX tensor: 102_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 102_convolutional [Conv] outputs: [102_convolutional -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 102_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 102_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 102_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 102_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 102_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 102_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 102_convolutional_bn [BatchNormalization] inputs: [102_convolutional -> (1, 128, 104, 104)], [102_convolutional_bn_scale -> (128)], [102_convolutional_bn_bias -> (128)], [102_convolutional_bn_mean -> (128)], [102_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 102_convolutional_bn for ONNX node: 102_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 102_convolutional_bn for ONNX tensor: 102_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 102_convolutional_bn [BatchNormalization] outputs: [102_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 102_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 102_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 102_convolutional_lrelu [LeakyRelu] inputs: [102_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 102_convolutional_lrelu for ONNX node: 102_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 102_convolutional_lrelu for ONNX tensor: 102_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 102_convolutional_lrelu [LeakyRelu] outputs: [102_convolutional_lrelu -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 103_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 102_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 103_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 103_convolutional [Conv] inputs: [102_convolutional_lrelu -> (1, 128, 104, 104)], [103_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 103_convolutional for ONNX node: 103_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 103_convolutional for ONNX tensor: 103_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 103_convolutional [Conv] outputs: [103_convolutional -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 103_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 103_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 103_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 103_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 103_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 103_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 103_convolutional_bn [BatchNormalization] inputs: [103_convolutional -> (1, 256, 104, 104)], [103_convolutional_bn_scale -> (256)], [103_convolutional_bn_bias -> (256)], [103_convolutional_bn_mean -> (256)], [103_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 103_convolutional_bn for ONNX node: 103_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 103_convolutional_bn for ONNX tensor: 103_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 103_convolutional_bn [BatchNormalization] outputs: [103_convolutional_bn -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 103_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 103_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 103_convolutional_lrelu [LeakyRelu] inputs: [103_convolutional_bn -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 103_convolutional_lrelu for ONNX node: 103_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 103_convolutional_lrelu for ONNX tensor: 103_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 103_convolutional_lrelu [LeakyRelu] outputs: [103_convolutional_lrelu -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 104_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 103_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 104_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 104_convolutional [Conv] inputs: [103_convolutional_lrelu -> (1, 256, 104, 104)], [104_convolutional_conv_weights -> (128, 256, 1, 1)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 128
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 104_convolutional for ONNX node: 104_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 104_convolutional for ONNX tensor: 104_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 104_convolutional [Conv] outputs: [104_convolutional -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 104_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 104_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 104_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 104_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 104_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 104_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 104_convolutional_bn [BatchNormalization] inputs: [104_convolutional -> (1, 128, 104, 104)], [104_convolutional_bn_scale -> (128)], [104_convolutional_bn_bias -> (128)], [104_convolutional_bn_mean -> (128)], [104_convolutional_bn_var -> (128)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 104_convolutional_bn for ONNX node: 104_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 104_convolutional_bn for ONNX tensor: 104_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 104_convolutional_bn [BatchNormalization] outputs: [104_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 104_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 104_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 104_convolutional_lrelu [LeakyRelu] inputs: [104_convolutional_bn -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 104_convolutional_lrelu for ONNX node: 104_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 104_convolutional_lrelu for ONNX tensor: 104_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 104_convolutional_lrelu [LeakyRelu] outputs: [104_convolutional_lrelu -> (1, 128, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 105_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 104_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 105_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:129: 105_convolutional [Conv] inputs: [104_convolutional_lrelu -> (1, 128, 104, 104)], [105_convolutional_conv_weights -> (256, 128, 3, 3)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 128, 104, 104)
[TensorRT] VERBOSE: Bias weights are not set yet. Bias weights can be set using setInput(2, bias_tensor) API call.
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (3, 3), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 256
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 256, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 105_convolutional for ONNX node: 105_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 105_convolutional for ONNX tensor: 105_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 105_convolutional [Conv] outputs: [105_convolutional -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 105_convolutional_bn [BatchNormalization]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 105_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 105_convolutional_bn_scale
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 105_convolutional_bn_bias
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 105_convolutional_bn_mean
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 105_convolutional_bn_var
[TensorRT] VERBOSE: ModelImporter.cpp:129: 105_convolutional_bn [BatchNormalization] inputs: [105_convolutional -> (1, 256, 104, 104)], [105_convolutional_bn_scale -> (256)], [105_convolutional_bn_bias -> (256)], [105_convolutional_bn_mean -> (256)], [105_convolutional_bn_var -> (256)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 105_convolutional_bn for ONNX node: 105_convolutional_bn
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 105_convolutional_bn for ONNX tensor: 105_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:180: 105_convolutional_bn [BatchNormalization] outputs: [105_convolutional_bn -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 105_convolutional_lrelu [LeakyRelu]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 105_convolutional_bn
[TensorRT] VERBOSE: ModelImporter.cpp:129: 105_convolutional_lrelu [LeakyRelu] inputs: [105_convolutional_bn -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 105_convolutional_lrelu for ONNX node: 105_convolutional_lrelu
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 105_convolutional_lrelu for ONNX tensor: 105_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:180: 105_convolutional_lrelu [LeakyRelu] outputs: [105_convolutional_lrelu -> (1, 256, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:107: Parsing node: 106_convolutional [Conv]
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 105_convolutional_lrelu
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 106_convolutional_conv_weights
[TensorRT] VERBOSE: ModelImporter.cpp:123: Searching for input: 106_convolutional_conv_bias
[TensorRT] VERBOSE: ModelImporter.cpp:129: 106_convolutional [Conv] inputs: [105_convolutional_lrelu -> (1, 256, 104, 104)], [106_convolutional_conv_weights -> (30, 256, 1, 1)], [106_convolutional_conv_bias -> (30)], 
[TensorRT] VERBOSE: builtin_op_importers.cpp:442: Convolution input dimensions: (1, 256, 104, 104)
[TensorRT] VERBOSE: builtin_op_importers.cpp:524: Using kernel: (1, 1), strides: (1, 1), padding: (0, 0), dilations: (1, 1), numOutputs: 30
[TensorRT] VERBOSE: builtin_op_importers.cpp:525: Convolution output dimensions: (1, 30, 104, 104)
[TensorRT] VERBOSE: ImporterContext.hpp:122: Registering layer: 106_convolutional for ONNX node: 106_convolutional
[TensorRT] VERBOSE: ImporterContext.hpp:97: Registering tensor: 106_convolutional_1 for ONNX tensor: 106_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:180: 106_convolutional [Conv] outputs: [106_convolutional -> (1, 30, 104, 104)], 
[TensorRT] VERBOSE: ModelImporter.cpp:494: Marking 082_convolutional_1 as output: 082_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:494: Marking 094_convolutional_1 as output: 094_convolutional
[TensorRT] VERBOSE: ModelImporter.cpp:494: Marking 106_convolutional_1 as output: 106_convolutional
Adding yolo_layer plugins...
416 416 height and width
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::GridAnchor_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::NMS_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::Reorg_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::Region_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::Clip_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::LReLU_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::PriorBox_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::Normalize_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::RPROI_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::BatchedNMS_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::FlattenConcat_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::CropAndResize
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::DetectionLayer_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::Proposal
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::ProposalLayer_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::PyramidROIAlign_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::ResizeNearest_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::Split
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::SpecialSlice_TRT
[TensorRT] VERBOSE: Plugin creator registration succeeded - ::InstanceNormalization_TRT
Building an engine.  This would take a while...
(Use "--verbose" or "-v" to enable verbose logging.)
height:13,width:13
height:26,width:26
height:104,width:104
python: yolo_layer.cu:120: virtual nvinfer1::Dims nvinfer1::YoloLayerPlugin::getOutputDimensions(int, const nvinfer1::Dims*, int): Assertion `inputs[0].d[1] == mYoloHeight' failed.
已放弃