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81 lines
2.7 KiB
81 lines
2.7 KiB
/* 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/operators/math/detail/activation_functions.h"
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#include "paddle/fluid/platform/device_context.h"
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace operators {
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namespace math {
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template <typename T>
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struct GRUMetaValue {
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const T *gate_weight;
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const T *state_weight;
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const T *reset_bias;
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T *gate_value;
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T *reset_output_value;
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T *output_value;
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const T *prev_out_value;
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};
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template <typename T>
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struct GRUMetaGrad {
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T *gate_weight_grad;
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T *state_weight_grad;
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T *gate_grad;
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T *reset_output_grad;
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T *output_grad;
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T *prev_out_grad;
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T *bias_hh_grad;
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};
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template <typename DeviceContext, typename T>
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struct GRUUnitFunctor {
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static void compute(const DeviceContext &context, GRUMetaValue<T> value,
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int frame_size, int batch_size,
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const detail::ActivationType active_node,
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const detail::ActivationType active_gate,
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bool origin_mode);
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};
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template <typename DeviceContext, typename T>
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struct GRUUnitGradFunctor {
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static void compute(const DeviceContext &context, GRUMetaValue<T> value,
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GRUMetaGrad<T> grad, int frame_size, int batch_size,
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const detail::ActivationType active_node,
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const detail::ActivationType active_gate,
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bool origin_mode);
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};
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template <typename DeviceContext, typename T>
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struct GRUUnitFunctorV2 {
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static void compute(const DeviceContext &context, GRUMetaValue<T> value,
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int frame_size, int batch_size,
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const detail::ActivationType active_node,
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const detail::ActivationType active_gate);
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};
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template <typename DeviceContext, typename T>
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struct GRUUnitGradFunctorV2 {
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static void compute(const DeviceContext &context, GRUMetaValue<T> value,
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GRUMetaGrad<T> grad, int frame_size, int batch_size,
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const detail::ActivationType active_node,
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const detail::ActivationType active_gate);
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};
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} // namespace math
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} // namespace operators
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} // namespace paddle
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