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51 lines
1.7 KiB
51 lines
1.7 KiB
5 years ago
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/* Copyright (c) 2019 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 <vector>
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#include "paddle/fluid/framework/ddim.h"
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#include "paddle/fluid/framework/eigen.h"
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename T>
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struct DequantizeFunctor {
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void operator()(const DeviceContext& dev_ctx, const framework::Tensor* in,
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const framework::Tensor* scale, float max_range,
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framework::Tensor* out);
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};
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template <typename DeviceContext, typename T>
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class DequantizeMaxAbsKernel : public framework::OpKernel<T> {
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public:
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virtual void Compute(const framework::ExecutionContext& ctx) const {
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auto* in = ctx.Input<framework::Tensor>("X");
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auto* scale = ctx.Input<framework::Tensor>("Scale");
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auto* out = ctx.Output<framework::Tensor>("Out");
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float max_range = ctx.Attr<float>("max_range");
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auto& dev_ctx = ctx.template device_context<DeviceContext>();
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out->mutable_data<float>(dev_ctx.GetPlace());
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DequantizeFunctor<DeviceContext, T>()(dev_ctx, in, scale, max_range, out);
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}
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};
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} // namespace operators
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} // namespace paddle
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