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66 lines
2.1 KiB
66 lines
2.1 KiB
/* 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 <type_traits>
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#include "paddle/fluid/operators/jit/kernel_base.h"
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namespace paddle {
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namespace operators {
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namespace jit {
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namespace more {
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namespace mix {
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using T = float;
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void VSigmoid(const T* x, T* y, int n);
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void VTanh(const T* x, T* y, int n);
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void Softmax(const T* x, T* y, int n, int bs);
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void LSTMCtHt(lstm_t* step, const lstm_attr_t* attr);
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void LSTMC1H1(lstm_t* step, const lstm_attr_t* attr);
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void GRUH1(gru_t* step, const gru_attr_t* attr);
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void GRUHtPart1(gru_t* step, const gru_attr_t* attr);
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void GRUHtPart2(gru_t* step, const gru_attr_t* attr);
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#define DECLARE_MORE_KERNEL(name, tuples) \
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class name##Kernel : public KernelMore<tuples<T>> { \
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public: \
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name##Kernel() { this->func = name; } \
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bool UseMe(const typename tuples<T>::attr_type&) const override; \
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const char* ImplType() const override { return "Mixed"; } \
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}
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// XYN
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DECLARE_MORE_KERNEL(VSigmoid, XYNTuples);
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DECLARE_MORE_KERNEL(VTanh, XYNTuples);
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// XRN
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DECLARE_MORE_KERNEL(Softmax, SoftmaxTuples);
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DECLARE_MORE_KERNEL(LSTMCtHt, LSTMTuples);
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DECLARE_MORE_KERNEL(LSTMC1H1, LSTMTuples);
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DECLARE_MORE_KERNEL(GRUH1, GRUTuples);
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DECLARE_MORE_KERNEL(GRUHtPart1, GRUTuples);
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DECLARE_MORE_KERNEL(GRUHtPart2, GRUTuples);
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#undef DECLARE_MORE_KERNEL
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} // namespace mix
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} // namespace more
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} // namespace jit
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} // namespace operators
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} // namespace paddle
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