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Revert wrong source formatting again
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@devjeonghwan
devjeonghwan committed Jun 1, 2023
1 parent 7b0167f commit 10a604a
Showing 1 changed file with 37 additions and 37 deletions.
74 changes: 37 additions & 37 deletions tensorrt/src/main/java/org/bytedeco/tensorrt/presets/nvinfer.java
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Original file line number Diff line number Diff line change
Expand Up @@ -39,16 +39,16 @@

/**
*
* @author Samuel Audet
*/
* @author Samuel Audet
*/
@Properties(
inherit = {cublas.class, cudnn.class, nvrtc.class},
value = {
@Platform(
value = {"linux-arm64", "linux-ppc64le", "linux-x86_64", "windows-x86_64"},
compiler = "cpp11",
include = {"NvInferVersion.h", "NvInferRuntimeBase.h", "NvInferRuntimePlugin.h", "NvInferRuntimeCommon.h",
"NvInferLegacyDims.h", "NvInferRuntime.h", "NvInfer.h", "NvInferImpl.h", "NvUtils.h"},
"NvInferLegacyDims.h", "NvInferRuntime.h", "NvInfer.h", "NvInferImpl.h", "NvUtils.h"},
link = "nvinfer@.8",
preload = "nvinfer_builder_resource@.8.6.1"
),
Expand Down Expand Up @@ -93,8 +93,8 @@ public class nvinfer implements LoadEnabled, InfoMapper {
preloads.add(i++, "zlibwapi");
}
String[] libs = {"cudart", "cublasLt", "cublas", "cudnn", "nvrtc",
"cudnn_ops_infer", "cudnn_ops_train", "cudnn_adv_infer",
"cudnn_adv_train", "cudnn_cnn_infer", "cudnn_cnn_train"};
"cudnn_ops_infer", "cudnn_ops_train", "cudnn_adv_infer",
"cudnn_adv_train", "cudnn_cnn_infer", "cudnn_cnn_train"};
for (String lib : libs) {
if (platform.startsWith("linux")) {
lib += lib.startsWith("cudnn") ? "@.8" : lib.equals("cudart") ? "@.12" : lib.equals("nvrtc") ? "@.12" : "@.12";
Expand All @@ -114,39 +114,39 @@ public class nvinfer implements LoadEnabled, InfoMapper {

public void map(InfoMap infoMap) {
infoMap.put(new Info().enumerate())
.put(new Info("NV_TENSORRT_FINAL", "_TENSORRT_FINAL", "_TENSORRT_OVERRIDE", "TENSORRTAPI").cppTypes().annotations())
.put(new Info("NV_TENSORRT_VERSION").translate(false))
.put(new Info("NV_TENSORRT_FINAL", "_TENSORRT_FINAL", "_TENSORRT_OVERRIDE", "TENSORRTAPI").cppTypes().annotations())
.put(new Info("NV_TENSORRT_VERSION").translate(false))

.put(new Info("TRT_DEPRECATED").cppText("#define TRT_DEPRECATED deprecated").cppTypes())
.put(new Info("TRT_DEPRECATED_API").cppText("#define TRT_DEPRECATED_API deprecated").cppTypes())
.put(new Info("deprecated").annotations("@Deprecated"))
.put(new Info("TRT_DEPRECATED").cppText("#define TRT_DEPRECATED deprecated").cppTypes())
.put(new Info("TRT_DEPRECATED_API").cppText("#define TRT_DEPRECATED_API deprecated").cppTypes())
.put(new Info("deprecated").annotations("@Deprecated"))

.put(new Info("std::size_t").cast().valueTypes("long").pointerTypes("LongPointer", "LongBuffer", "long[]"))
.put(new Info("const char", "nvinfer1::AsciiChar").pointerTypes("String", "@Cast(\"const char*\") BytePointer"))
.put(new Info("nvinfer1::IErrorRecorder::ErrorDesc").valueTypes("String", "@Cast(\"const char*\") BytePointer"))
.put(new Info("nvinfer1::PluginFormat").cast().valueTypes("TensorFormat", "int").pointerTypes("IntPointer", "IntBuffer", "int[]"))
.put(new Info("nvinfer1::safe::IPluginRegistry").pointerTypes("SafeIPluginRegistry"))
.put(new Info("nvinfer1::EnumMax", "nvinfer1::EnumMaxImpl").skip())
.put(new Info("nvinfer1::Weights::values").javaText("public native @Const Pointer values(); public native Weights values(Pointer values);"))
.put(new Info("nvinfer1::IDimensionExpr", "nvinfer1::IExprBuilder", "nvinfer1::IOptimizationProfile", "nvinfer1::ITensor", "nvinfer1::ILayer",
"nvinfer1::IConvolutionLayer", "nvinfer1::IFullyConnectedLayer", "nvinfer1::IActivationLayer", "nvinfer1::IPoolingLayer",
"nvinfer1::ILRNLayer", "nvinfer1::IScaleLayer", "nvinfer1::IPluginV2Layer", "nvinfer1::IUnaryLayer", "nvinfer1::IReduceLayer",
"nvinfer1::IPaddingLayer", "nvinfer1::IRaggedSoftMaxLayer", "nvinfer1::IIdentityLayer", "nvinfer1::ISoftMaxLayer",
"nvinfer1::IConcatenationLayer", "nvinfer1::IDeconvolutionLayer", "nvinfer1::IElementWiseLayer", "nvinfer1::IGatherLayer",
"nvinfer1::IRNNv2Layer", "nvinfer1::IIteratorLayer", "nvinfer1::IParametricReLULayer", "nvinfer1::IShuffleLayer",
"nvinfer1::ISliceLayer", "nvinfer1::IShapeLayer", "nvinfer1::ITopKLayer", "nvinfer1::IMatrixMultiplyLayer", "nvinfer1::ISelectLayer",
"nvinfer1::IConstantLayer", "nvinfer1::IResizeLayer", "nvinfer1::ILoop", "nvinfer1::ILoopBoundaryLayer", "nvinfer1::ILoopOutputLayer",
"nvinfer1::IRecurrenceLayer", "nvinfer1::ITripLimitLayer", "nvinfer1::IFillLayer", "nvinfer1::IQuantizeLayer", "nvinfer1::IDequantizeLayer",
"nvinfer1::IAssertionLayer", "nvinfer1::IConditionLayer", "nvinfer1::IEinsumLayer", "nvinfer1::IIfConditional",
"nvinfer1::IIfConditionalBoundaryLayer", "nvinfer1::IIfConditionalInputLayer", "nvinfer1::IIfConditionalOutputLayer", "nvinfer1::IScatterLayer",
"nvinfer1::IAlgorithmIOInfo", "nvinfer1::IAlgorithmVariant", "nvinfer1::IAlgorithmContext", "nvinfer1::IAlgorithm", "nvinfer1::ICastLayer",
"nvinfer1::IGridSampleLayer", "nvinfer1::INMSLayer", "nvinfer1::INonZeroLayer", "nvinfer1::INormalizationLayer", "nvinfer1::IReverseSequenceLayer").purify())
.put(new Info("nvinfer1::IGpuAllocator::free").javaNames("_free"))
.put(new Info("nvinfer1::IProfiler", "nvinfer1::ILogger", "nvinfer1::IInt8Calibrator", "nvinfer1::IInt8EntropyCalibrator",
"nvinfer1::IInt8EntropyCalibrator2", "nvinfer1::IInt8MinMaxCalibrator", "nvinfer1::IInt8LegacyCalibrator",
"nvinfer1::IGpuAllocator").virtualize())
.put(new Info("nvinfer1::IPluginRegistry::getPluginCreatorList").javaText(
"public native @Cast(\"nvinfer1::IPluginCreator*const*\") PointerPointer getPluginCreatorList(IntPointer numCreators);"))
.put(new Info("std::size_t").cast().valueTypes("long").pointerTypes("LongPointer", "LongBuffer", "long[]"))
.put(new Info("const char", "nvinfer1::AsciiChar").pointerTypes("String", "@Cast(\"const char*\") BytePointer"))
.put(new Info("nvinfer1::IErrorRecorder::ErrorDesc").valueTypes("String", "@Cast(\"const char*\") BytePointer"))
.put(new Info("nvinfer1::PluginFormat").cast().valueTypes("TensorFormat", "int").pointerTypes("IntPointer", "IntBuffer", "int[]"))
.put(new Info("nvinfer1::safe::IPluginRegistry").pointerTypes("SafeIPluginRegistry"))
.put(new Info("nvinfer1::EnumMax", "nvinfer1::EnumMaxImpl").skip())
.put(new Info("nvinfer1::Weights::values").javaText("public native @Const Pointer values(); public native Weights values(Pointer values);"))
.put(new Info("nvinfer1::IDimensionExpr", "nvinfer1::IExprBuilder", "nvinfer1::IOptimizationProfile", "nvinfer1::ITensor", "nvinfer1::ILayer",
"nvinfer1::IConvolutionLayer", "nvinfer1::IFullyConnectedLayer", "nvinfer1::IActivationLayer", "nvinfer1::IPoolingLayer",
"nvinfer1::ILRNLayer", "nvinfer1::IScaleLayer", "nvinfer1::IPluginV2Layer", "nvinfer1::IUnaryLayer", "nvinfer1::IReduceLayer",
"nvinfer1::IPaddingLayer", "nvinfer1::IRaggedSoftMaxLayer", "nvinfer1::IIdentityLayer", "nvinfer1::ISoftMaxLayer",
"nvinfer1::IConcatenationLayer", "nvinfer1::IDeconvolutionLayer", "nvinfer1::IElementWiseLayer", "nvinfer1::IGatherLayer",
"nvinfer1::IRNNv2Layer", "nvinfer1::IIteratorLayer", "nvinfer1::IParametricReLULayer", "nvinfer1::IShuffleLayer",
"nvinfer1::ISliceLayer", "nvinfer1::IShapeLayer", "nvinfer1::ITopKLayer", "nvinfer1::IMatrixMultiplyLayer", "nvinfer1::ISelectLayer",
"nvinfer1::IConstantLayer", "nvinfer1::IResizeLayer", "nvinfer1::ILoop", "nvinfer1::ILoopBoundaryLayer", "nvinfer1::ILoopOutputLayer",
"nvinfer1::IRecurrenceLayer", "nvinfer1::ITripLimitLayer", "nvinfer1::IFillLayer", "nvinfer1::IQuantizeLayer", "nvinfer1::IDequantizeLayer",
"nvinfer1::IAssertionLayer", "nvinfer1::IConditionLayer", "nvinfer1::IEinsumLayer", "nvinfer1::IIfConditional",
"nvinfer1::IIfConditionalBoundaryLayer", "nvinfer1::IIfConditionalInputLayer", "nvinfer1::IIfConditionalOutputLayer", "nvinfer1::IScatterLayer",
"nvinfer1::IAlgorithmIOInfo", "nvinfer1::IAlgorithmVariant", "nvinfer1::IAlgorithmContext", "nvinfer1::IAlgorithm", "nvinfer1::ICastLayer",
"nvinfer1::IGridSampleLayer", "nvinfer1::INMSLayer", "nvinfer1::INonZeroLayer", "nvinfer1::INormalizationLayer", "nvinfer1::IReverseSequenceLayer").purify())
.put(new Info("nvinfer1::IGpuAllocator::free").javaNames("_free"))
.put(new Info("nvinfer1::IProfiler", "nvinfer1::ILogger", "nvinfer1::IInt8Calibrator", "nvinfer1::IInt8EntropyCalibrator",
"nvinfer1::IInt8EntropyCalibrator2", "nvinfer1::IInt8MinMaxCalibrator", "nvinfer1::IInt8LegacyCalibrator",
"nvinfer1::IGpuAllocator").virtualize())
.put(new Info("nvinfer1::IPluginRegistry::getPluginCreatorList").javaText(
"public native @Cast(\"nvinfer1::IPluginCreator*const*\") PointerPointer getPluginCreatorList(IntPointer numCreators);"))
;
}
}
}

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