Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into disable_prelu_test_local
minqiyang
7 years ago
commit
6c775a0a06
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// Copyright (c) 2018 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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#pragma once
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#include <cstdint>
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#include "paddle/fluid/platform/hostdevice.h"
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namespace paddle {
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namespace framework {
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template <typename T, size_t N>
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class Array {
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static_assert(N > 0, "The size of array must be larger than 0");
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public:
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HOSTDEVICE Array() {}
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HOSTDEVICE explicit Array(const T &val) {
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for (size_t i = 0; i < N; ++i) data_[i] = val;
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}
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HOSTDEVICE const T *Get() const { return data_; }
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HOSTDEVICE T *GetMutable() { return data_; }
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HOSTDEVICE T &operator[](size_t index) { return data_[index]; }
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HOSTDEVICE const T &operator[](size_t index) const { return data_[index]; }
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HOSTDEVICE constexpr size_t size() const { return N; }
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private:
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T data_[N];
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};
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} // namespace framework
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} // namespace paddle
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/* 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 "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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using LoDTensor = framework::LoDTensor;
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using Tensor = framework::Tensor;
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class AttentionLSTMOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override;
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override;
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};
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class AttentionLSTMOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override;
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};
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} // namespace operators
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} // namespace paddle
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