Merge pull request #3843 from Xreki/build_android_clang
Enable the use of clang to cross-compile for AndroidAdaptive_data_structure_for_SwitchOrderLayer
hedaoyuan
8 years ago
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GitHub
commit
0146e8bfc5
@ -0,0 +1,159 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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 "GemmFunctor.h"
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#include "hl_cpu_gru.cuh"
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namespace paddle {
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template <DeviceType Device, class T>
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struct GruFunctor {
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template <class OpResetOutput, class OpFinalOutput>
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static void compute(OpResetOutput opResetOutput,
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OpFinalOutput opFinalOutput,
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hl_gru_value value,
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int frameSize,
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int batchSize,
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hl_activation_mode_t active_node,
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hl_activation_mode_t active_gate) {
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#ifndef __NVCC__
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if (value.prevOutValue) {
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BlasGemm<Device, T>::compute(false,
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false,
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batchSize,
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2 * frameSize,
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frameSize,
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1,
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value.prevOutValue,
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frameSize,
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value.gateWeight,
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frameSize * 2,
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1,
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value.gateValue,
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frameSize * 3);
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}
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forward_reset_output(
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opResetOutput, value, frameSize, batchSize, active_gate);
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if (value.prevOutValue) {
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BlasGemm<Device, T>::compute(false,
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false,
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batchSize,
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frameSize,
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frameSize,
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1,
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value.resetOutputValue,
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frameSize,
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value.stateWeight,
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frameSize,
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1,
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value.gateValue + frameSize * 2,
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frameSize * 3);
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}
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forward_final_output(
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opFinalOutput, value, frameSize, batchSize, active_node);
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#endif
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}
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};
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template <DeviceType Device, class T>
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struct GruGradFunctor {
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template <class OpStateGrad, class OpResetGrad>
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static void compute(OpStateGrad opStateGrad,
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OpResetGrad opResetGrad,
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hl_gru_value value,
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hl_gru_grad grad,
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int frameSize,
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int batchSize,
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hl_activation_mode_t active_node,
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hl_activation_mode_t active_gate) {
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#ifndef __NVCC__
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backward_state_grad(
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opStateGrad, value, grad, frameSize, batchSize, active_node);
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if (value.prevOutValue && grad.prevOutGrad) {
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BlasGemm<Device, T>::compute(false,
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true,
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batchSize,
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frameSize,
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frameSize,
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1,
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grad.gateGrad + frameSize * 2,
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frameSize * 3,
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value.stateWeight,
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frameSize,
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0,
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grad.resetOutputGrad,
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frameSize);
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if (grad.stateWeightGrad) {
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BlasGemm<Device, T>::compute(true,
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false,
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frameSize,
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frameSize,
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batchSize,
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1,
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value.resetOutputValue,
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frameSize,
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grad.gateGrad + frameSize * 2,
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frameSize * 3,
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1,
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grad.stateWeightGrad,
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frameSize);
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}
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}
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backward_reset_grad(
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opResetGrad, value, grad, frameSize, batchSize, active_gate);
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if (grad.prevOutGrad && value.prevOutValue) {
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BlasGemm<Device, T>::compute(false,
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true,
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batchSize,
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frameSize,
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frameSize * 2,
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1,
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grad.gateGrad,
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frameSize * 3,
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value.gateWeight,
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frameSize * 2,
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1,
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grad.prevOutGrad,
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frameSize);
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if (grad.gateWeightGrad) {
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BlasGemm<Device, T>::compute(true,
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false,
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frameSize,
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frameSize * 2,
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batchSize,
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1,
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value.prevOutValue,
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frameSize,
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grad.gateGrad,
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frameSize * 3,
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1,
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grad.gateWeightGrad,
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frameSize * 2);
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}
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}
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#endif
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}
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};
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} // namespace paddle
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