bidirectional_sequence_rnn.cc | Explore in Territory

/* 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 <algorithm>
#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"
#include "tensorflow/lite/kernels/op_macros.h"

namespace tflite {
namespace ops {
namespace builtin {
namespace bidirectional_sequence_rnn {

namespace {

struct OpData { … };

}  // namespace

// LINT.IfChange

constexpr int kInputTensor = …;
// Forward and backward cell tensors.
constexpr int kFwWeightsTensor = …;
constexpr int kFwRecurrentWeightsTensor = …;
constexpr int kFwBiasTensor = …;
constexpr int kFwHiddenStateTensor = …;
constexpr int kBwWeightsTensor = …;
constexpr int kBwRecurrentWeightsTensor = …;
constexpr int kBwBiasTensor = …;
constexpr int kBwHiddenStateTensor = …;
// Used as auxiliary input and weights when stacking for
// tf.contrib.rnn.stack_bidirectional_rnn case (with cross links); Used as input
// to the backward cell when stacking for tf.nn.static_bidirectional_rnn case
// (without cross links).
constexpr int kAuxInputTensor = …;       // Optional.
constexpr int kFwAuxWeightsTensor = …;  // Optional.
constexpr int kBwAuxWeightsTensor = …;  // Optional.
// Output tensors.
constexpr int kFwOutputTensor = …;
constexpr int kBwOutputTensor = …;  // Only if merge_outputs is false.

// LINT.ThenChange(//tensorflow/lite/tools/optimize/quantize_weights.cc)

// Temporary tensors.
enum TemporaryTensor { … };

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* bw_input,
                       const TfLiteTensor* fw_input_weights,
                       const TfLiteTensor* fw_recurrent_weights,
                       const TfLiteTensor* fw_bias,
                       const TfLiteTensor* bw_input_weights,
                       const TfLiteTensor* bw_recurrent_weights,
                       const TfLiteTensor* bw_bias,
                       const TfLiteTensor* aux_input,
                       const TfLiteTensor* fw_aux_input_weights,
                       const TfLiteTensor* bw_aux_input_weights,
                       const TfLiteBidirectionalSequenceRNNParams* params,
                       TfLiteTensor* fw_hidden_state, TfLiteTensor* fw_output,
                       TfLiteTensor* bw_hidden_state, TfLiteTensor* bw_output) { … }

TfLiteStatus EvalHybrid(
    const TfLiteTensor* input, const TfLiteTensor* bw_input,
    const TfLiteTensor* fw_input_weights,
    const TfLiteTensor* fw_recurrent_weights, const TfLiteTensor* fw_bias,
    const TfLiteTensor* bw_input_weights,
    const TfLiteTensor* bw_recurrent_weights, const TfLiteTensor* bw_bias,
    const TfLiteTensor* aux_input, const TfLiteTensor* aux_fw_input_weights,
    const TfLiteTensor* aux_bw_input_weights,
    const TfLiteBidirectionalSequenceRNNParams* params,
    TfLiteTensor* scaling_factors, TfLiteTensor* input_quantized,
    TfLiteTensor* aux_input_quantized, TfLiteTensor* fw_hidden_state_quantized,
    TfLiteTensor* fw_hidden_state, TfLiteTensor* fw_output,
    TfLiteTensor* bw_hidden_state_quantized, TfLiteTensor* bw_hidden_state,
    TfLiteTensor* bw_output, TfLiteTensor* zero_points,
    TfLiteTensor* accum_scratch, TfLiteTensor* fw_row_sums,
    TfLiteTensor* bw_row_sums, bool* fw_compute_row_sums,
    bool* bw_compute_row_sums) { … }

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

}  // namespace bidirectional_sequence_rnn

TfLiteRegistration* Register_BIDIRECTIONAL_SEQUENCE_RNN() { … }

}  // namespace builtin
}  // namespace ops
}  // namespace tflite
chromium/third_party/tflite/src/tensorflow/lite/kernels/bidirectional_sequence_rnn.cc
