pytorch

d9a7e93a - [ONNX] Add dtype check in onnx verification (#79263)

[ONNX] Add dtype check in onnx verification (#79263) Currently we don't have a dtype check in verifying the consistency between PyTorch and ONNX outputs. As a result, some of dtype inconsistencies were found and reported: #77842 #77845 This is a POC. Failed workflows: - [linux-xenial-py3.7-clang7-onnx / test (default, 2, 2, linux.2xlarge)] - inconsistent shape - TestONNXRuntime_opset10.test_all (#79371) - TestONNXRuntime_opset10.test_any (#79371) - TestONNXRuntime_opset10.test_argmin_argmax (#79503) - TestONNXRuntime_opset10.test_hardshrink (#79695) - TestONNXRuntime_opset10.test_linalg_norm (#79506) - TestONNXRuntime_opset10.test_linalg_vector_norm (#79506) - TestONNXRuntime_opset10.test_prelu_scalar (#79846) - TestONNXRuntime_opset10.test_softshrink (#79695) - TestONNXRuntime_opset10.test_sum_empty_tensor (skipped) - TestONNXRuntime_opset10.test_tolist (skipped) - inconsistent dtype - test_arithmetic_prim_bool (skipped) - test_arithmeticOps_with_low_precision (skipped) - test_arithmetic_prim_float (skipped) - test_logical_and (#79339) - test_logical_or (#79339) - test_logical_xor (#79339) - test_pow (skipped) - test_primitive_input_floating (skipped) - test_quantize_per_tensor (#79690) - test_quantized_adaptive_avg_pool2d (#79690) - test_quantized_arithmetic (#79690) - test_quantized_arithmetic_qfunctional (#79690) - test_quantized_conv2d (#79690) - test_quantized_conv2d_relu (#79690) - test_quantized_flatten (#79690) - test_quantized_hardsigmoid (#79690) - test_quantized_hardswish (#79690) - test_quantized_linear (#79690) - test_quantized_sigmoid (#79690) - test_item (skipped) - test_full_like_value (skipped) - TestONNXRuntime_opset7.test_div_rounding_mode (skipped) - TestONNXRuntime_opset8.test_div_rounding_mode (skipped) - TestONNXRuntime_opset9.test_div_rounding_mode (skipped) - TestONNXRuntime_opset9_IRv4.test_div_rounding_mode (skipped) - test_outer (skipped) - test_symbolic_shape_inference_arange_2 (skipped) Pull Request resolved: https://github.com/pytorch/pytorch/pull/79263 Approved by: https://github.com/justinchuby, https://github.com/BowenBao