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81 lines
2.9 KiB
81 lines
2.9 KiB
4 months ago
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/*
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* Copyright (C) 2017 The Android Open Source Project
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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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*/
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#ifndef ANDROID_FRAMEWORKS_ML_NN_COMMON_OPERATIONS_RNN_H
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#define ANDROID_FRAMEWORKS_ML_NN_COMMON_OPERATIONS_RNN_H
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#include <vector>
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#include "ActivationFunctor.h"
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#include "nnapi/Types.h"
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namespace android {
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namespace nn {
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struct RunTimeOperandInfo;
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struct Shape;
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class RNN {
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public:
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RNN(const Operation& operation, RunTimeOperandInfo* operands);
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static bool Prepare(const Operation& operation, RunTimeOperandInfo* operands,
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Shape* hiddenStateShape, Shape* outputShape);
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bool Eval();
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static constexpr int kInputTensor = 0;
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static constexpr int kWeightsTensor = 1;
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static constexpr int kRecurrentWeightsTensor = 2;
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static constexpr int kBiasTensor = 3;
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static constexpr int kHiddenStateInTensor = 4;
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static constexpr int kActivationParam = 5;
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static constexpr int kHiddenStateOutTensor = 0;
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static constexpr int kOutputTensor = 1;
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template <typename T>
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static bool RNNStep(const T* inputData, const Shape& inputShape, const T* hiddenStateInputData,
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const T* biasData, const T* weightsData, const Shape& weightsShape,
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const T* recurrentWeightsData, const Shape& recurrentWeightsShape,
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int32_t activation, T* outputData);
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template <typename T>
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static bool RNNStep(const T* inputData, const Shape& inputShape, const T* auxInputData,
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const Shape& auxInputShape, const T* hiddenStateInputData,
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const T* biasData, const T* weightsData, const Shape& weightsShape,
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const T* auxWeightsData, const Shape& auxWeightsShape,
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const T* recurrentWeightsData, const Shape& recurrentWeightsShape,
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int32_t activation, uint32_t outputBatchStride, uint32_t outputBatchStep,
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T* outputData, T* hiddenStateOutput = nullptr);
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private:
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ActivationFn activation_;
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const RunTimeOperandInfo* input_;
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const RunTimeOperandInfo* weights_;
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const RunTimeOperandInfo* recurrent_weights_;
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const RunTimeOperandInfo* bias_;
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const RunTimeOperandInfo* hidden_state_in_;
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RunTimeOperandInfo* hidden_state_out_;
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RunTimeOperandInfo* output_;
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};
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} // namespace nn
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} // namespace android
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#endif // ANDROID_FRAMEWORKS_ML_NN_COMMON_OPERATIONS_RNN_H
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