fix a bug cause: onnxruntime.capi.onnxruntime_pybind11_state.Fail #1028
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fix a bug which may cause err: onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Load model from *.onnx failed:Type Error: Type parameter (T) of Optype (Where) bound to different types (tensor(int64) and tensor(float) in node (/end2end/Where_1).
4 tasks
FutureWarning: torch.cuda.amp.autocast(args...) is deprecated. Use torch.amp.autocast('cuda', args...) instead.
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fix a bug which may cause err: onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Load model from *.onnx failed:Type Error: Type parameter (T) of Optype (Where) bound to different types (tensor(int64) and tensor(float) in node (/end2end/Where_1).
修复了一个会导致
onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Load model from *.onnx failed:Type Error: Type parameter (T) of Optype (Where) bound to different types (tensor(int64) and tensor(float) in node (/end2end/Where_1).的bug。原因是在导出到onnx时，batched_labels.new_ones应该创建一个与自身相同类型的tensor（在python中运行时确实如此），然而实际导出后创建的tensor类型（float）与batched_labels（int）不一致，造成了运行时err。
在旧版本中并没有出现这个问题（暂时不清楚是由于旧版pytorch没有这个导出bug还是onnx的where能够跨类型使用）
出现这个bug的版本是：
pytorch 2.1.0a0+41361538.nv23.6+onnxruntime-gpu 1.17.0
修改前：
修改后：
注意：在下面2个issue中，都有类似的err，其中一条是由于seg不支持end2end导出，另一条是由于此bug而产生，虽然issue已经被关闭，然而问题的根源并没有被解决。
#1021
#1013 (comment)