wehub-resource-sync
65 lines
2.2 KiB
C++
65 lines
2.2 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <iostream>
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#include <vector>
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#include "paddle/extension.h"
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paddle::DataType ConvertDtype(const std::string& data_type) {
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if (data_type == "float16") {
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return paddle::DataType::FLOAT16;
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} else if (data_type == "float32") {
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return paddle::DataType::FLOAT32;
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} else if (data_type == "float64") {
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return paddle::DataType::FLOAT64;
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} else {
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PD_THROW("DataType Not Supported.");
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}
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}
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std::vector<paddle::Tensor> CastForward(const paddle::Tensor& x,
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const std::string& data_type) {
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return {paddle::experimental::cast(x, ConvertDtype(data_type))};
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}
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std::vector<paddle::DataType> CastForwardInferDtype(
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const paddle::DataType& input_dtype, const std::string& data_type) {
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return {ConvertDtype(data_type)};
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}
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std::vector<paddle::Tensor> CastBackward(const paddle::Tensor& grad_out,
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const std::string& data_type) {
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return {paddle::experimental::cast(grad_out, ConvertDtype(data_type))};
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}
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std::vector<paddle::DataType> CastBackwardInferDtype(
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const paddle::DataType& grad_out_dtype, const std::string& data_type) {
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return {ConvertDtype(data_type)};
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}
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PD_BUILD_OP(custom_cast)
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.Inputs({"X"})
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.Attrs({"data_type: std::string"})
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.Outputs({"Out"})
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.SetKernelFn(PD_KERNEL(CastForward))
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.SetInferDtypeFn(PD_INFER_DTYPE(CastForwardInferDtype));
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PD_BUILD_GRAD_OP(custom_cast)
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.Inputs({paddle::Grad("Out")})
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.Attrs({"data_type: std::string"})
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.Outputs({paddle::Grad("X")})
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.SetKernelFn(PD_KERNEL(CastBackward))
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.SetInferDtypeFn(PD_INFER_DTYPE(CastBackwardInferDtype));
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