wehub-resource-sync
85 lines
2.7 KiB
C++
85 lines
2.7 KiB
C++
/* Copyright (c) 2020 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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#include <string>
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#include <vector>
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#include "paddle/common/ddim.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/infershape_utils.h"
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#include "paddle/phi/core/infermeta_utils.h"
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#include "paddle/phi/infermeta/binary.h"
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namespace paddle {
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namespace framework {
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class InferShapeContext;
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class OpDesc;
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template <typename T>
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class EmptyGradOpMaker;
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} // namespace framework
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namespace imperative {
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class OpBase;
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} // namespace imperative
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} // namespace paddle
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namespace paddle {
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namespace operators {
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class DequantizeLogOp : public framework::OperatorWithKernel {
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public:
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DequantizeLogOp(const std::string& type,
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const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: OperatorWithKernel(type, inputs, outputs, attrs) {}
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phi::KernelKey GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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auto data_type = OperatorWithKernel::IndicateVarDataType(ctx, "X");
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return phi::KernelKey(data_type, ctx.device_context().GetPlace());
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}
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};
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class DequantizeLogOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X",
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"(int8 Tensor) The input with int8 type is the "
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"low precision tensor.");
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AddInput("Dict", "(float) The Dict in quantization stage.");
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AddOutput("Out",
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"(float32 Tensor) The output is the dequantized high "
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"precision tensor.");
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AddComment(R"DOC(
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DequantizeLogOp operator.
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This calculation is an opposite operation of QuantizeLogOp:
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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DECLARE_INFER_SHAPE_FUNCTOR(dequantize_log,
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DequantizeLogInferShapeFunctor,
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PD_INFER_META(phi::DequantizeLogInferMeta));
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REGISTER_OPERATOR(
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dequantize_log,
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ops::DequantizeLogOp,
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ops::DequantizeLogOpMaker,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
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DequantizeLogInferShapeFunctor);
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