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bd1229477d
This PR resurrects @tcherckez-nvidia's #106379 with changes to resolve conflicts against newer `main` and defines our own constants for the new ONNX types to [avoid breaking Meta's internal usage of an old ONNX](https://github.com/pytorch/pytorch/pull/106379#issuecomment-1675189340). - `::torch::onnx::TensorProto_DataType_FLOAT8E4M3FN=17` - `::torch::onnx::TensorProto_DataType_FLOAT8E5M2=19` Pull Request resolved: https://github.com/pytorch/pytorch/pull/107962 Approved by: https://github.com/justinchuby, https://github.com/titaiwangms
22 lines
707 B
C++
22 lines
707 B
C++
#pragma once
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#include <onnx/onnx_pb.h>
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namespace torch {
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namespace onnx {
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// The following constants are defined here to avoid breaking Meta's internal
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// usage of ONNX which pre-dates ONNX 1.14 and thus does not support FLOAT8:
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// cf. https://github.com/pytorch/pytorch/pull/106379#issuecomment-1675189340
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// -abock, 2023-08-25
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//
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// ::ONNX_NAMESPACE::TensorProto_DataType_FLOAT8E4M3FN
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constexpr auto TensorProto_DataType_FLOAT8E4M3FN =
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static_cast<::ONNX_NAMESPACE::TensorProto_DataType>(17);
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// ::ONNX_NAMESPACE::TensorProto_DataType_FLOAT8E5M2
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constexpr auto TensorProto_DataType_FLOAT8E5M2 =
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static_cast<::ONNX_NAMESPACE::TensorProto_DataType>(19);
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} // namespace onnx
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} // namespace torch
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