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48 lines
1.7 KiB
48 lines
1.7 KiB
6 years ago
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/* Copyright (c) 2016 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 "paddle/fluid/operators/quantize_op.h"
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#ifdef PADDLE_WITH_MKLDNN
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#include "paddle/fluid/platform/mkldnn_helper.h"
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#endif
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namespace paddle {
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namespace operators {
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framework::OpKernelType QuantOp::GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const {
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framework::LibraryType library_ = framework::LibraryType::kMKLDNN;
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framework::DataLayout layout_ = framework::DataLayout::kMKLDNN;
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return framework::OpKernelType(ctx.Input<Tensor>("Input")->type(),
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ctx.GetPlace(), layout_, library_);
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}
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void QuantOpMaker::Make() {
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AddInput("Input", "input data");
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AddOutput("Output", "output data");
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AddAttr<bool>("is_negative_input",
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"(bool, default false) Only used in mkldnn INT8 kernel")
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.SetDefault(false);
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AddAttr<float>("Scale", "scale data").SetDefault({1.0f});
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AddComment(R"DOC(This op will quantize data from FP32 to INT8)DOC");
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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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REGISTER_OPERATOR(quantize, ops::QuantOp, ops::QuantOpMaker,
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paddle::framework::DefaultGradOpDescMaker<true>);
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