wehub-resource-sync
52 lines
1.7 KiB
C++
52 lines
1.7 KiB
C++
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include <string>
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#include "paddle/fluid/operators/elementwise/elementwise_op.h"
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#include "paddle/phi/backends/cpu/cpu_info.h"
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namespace paddle {
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namespace operators {
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class ElementwiseMulOp : public ElementwiseOp {
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public:
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using ElementwiseOp::ElementwiseOp;
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phi::KernelKey GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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auto input_data_type =
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OperatorWithKernel::IndicateOrPromoteVarDataTypes(ctx, "X", "Y");
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return phi::KernelKey(input_data_type, ctx.GetPlace());
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}
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phi::KernelKey GetKernelTypeForVar(
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const std::string& var_name,
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const phi::DenseTensor& tensor,
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const phi::KernelKey& expected_kernel_type) const override {
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if (framework::IsComplexType(expected_kernel_type.dtype())) {
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// only promote inputs's types when contains complex input
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return phi::KernelKey(tensor.place(), tensor.layout(), tensor.dtype());
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} else {
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return phi::KernelKey(
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tensor.place(), tensor.layout(), expected_kernel_type.dtype());
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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