chromium/third_party/tflite/src/tensorflow/lite/kernels/unidirectional_sequence_rnn.cc

/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include <cstddef>
#include <cstdint>

#include "tensorflow/lite/core/c/builtin_op_data.h"
#include "tensorflow/lite/core/c/common.h"
#include "tensorflow/lite/kernels/internal/kernel_utils.h"
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
#include "tensorflow/lite/kernels/kernel_util.h"

namespace tflite {
namespace ops {
namespace builtin {
namespace unidirectional_sequence_rnn {

namespace {

struct OpData { … };

}  // namespace

// Input tensors.
constexpr int kInputTensor = …;
constexpr int kWeightsTensor = …;
constexpr int kRecurrentWeightsTensor = …;
constexpr int kBiasTensor = …;
constexpr int kHiddenStateTensor = …;

// Output tensor.
constexpr int kOutputTensor = …;

void* Init(TfLiteContext* context, const char* buffer, size_t length) { … }

void Free(TfLiteContext* context, void* buffer) { … }

TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { … }

TfLiteStatus EvalFloat(const TfLiteTensor* input,
                       const TfLiteTensor* input_weights,
                       const TfLiteTensor* recurrent_weights,
                       const TfLiteTensor* bias,
                       const TfLiteSequenceRNNParams* params,
                       TfLiteTensor* hidden_state, TfLiteTensor* output) { … }

TfLiteStatus EvalHybrid(
    const TfLiteTensor* input, const TfLiteTensor* input_weights,
    const TfLiteTensor* recurrent_weights, const TfLiteTensor* bias,
    const TfLiteSequenceRNNParams* params, TfLiteTensor* input_scratch,
    TfLiteTensor* hidden_state_scratch, TfLiteTensor* scaling_factors,
    TfLiteTensor* hidden_state, TfLiteTensor* output, TfLiteTensor* zero_points,
    TfLiteTensor* accum_scratch, TfLiteTensor* row_sums,
    bool* compute_row_sums) { … }

TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) { … }

}  // namespace unidirectional_sequence_rnn

TfLiteRegistration* Register_UNIDIRECTIONAL_SEQUENCE_RNN() { … }

}  // namespace builtin
}  // namespace ops
}  // namespace tflite