unidirectional_sequence_lstm.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 <math.h>

#include <algorithm>
#include <cstddef>

#include "tensorflow/lite/core/c/builtin_op_data.h"
#include "tensorflow/lite/core/c/common.h"
#include "tensorflow/lite/kernels/cpu_backend_context.h"
#include "tensorflow/lite/kernels/internal/compatibility.h"
#include "tensorflow/lite/kernels/internal/kernel_utils.h"
#include "tensorflow/lite/kernels/internal/quantization_util.h"
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
#include "tensorflow/lite/kernels/internal/tensor_utils.h"
#include "tensorflow/lite/kernels/kernel_util.h"
#include "tensorflow/lite/kernels/lstm_eval.h"
#include "tensorflow/lite/kernels/lstm_shared.h"

namespace tflite {
namespace ops {
namespace builtin {
namespace unidirectional_sequence_lstm {
namespace {

struct OpData { … };

TfLiteStatus PopulateQuantizedLstmParams8x8_16(
    TfLiteContext* context, TfLiteNode* node,
    lstm_eval::IntegerLstmParameter* integer_lstm_param) { … }

}  // namespace

// Temporary tensors
enum TemporaryTensor { … };

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

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

// Check that input tensor dimensions matches with each other.
TfLiteStatus CheckInputTensorDimensions(TfLiteContext* context,
                                        TfLiteNode* node, int n_input,
                                        int n_output, int n_cell,
                                        bool use_layer_norm, bool is_integer) { … }

TfLiteStatus PrecomputeZeroPointTimesWeightWithBias(
    TfLiteContext* context, int32_t zero_point,
    const TfLiteTensor* weight_tensor, const TfLiteTensor* bias_tensor,
    std::unique_ptr<int32_t[]>* output) { … }

TfLiteStatus PopulatePrecomputedZPTimesWeightsWithBias(TfLiteContext* context,
                                                       OpData* op_data,
                                                       TfLiteNode* node) { … }

// Resize the output and state tensors based on the sizes of the input tensors.
// Allocate a temporary scratch tensor. Also check that the sizes of the input
// tensors match each other.
TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { … }

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

TfLiteRegistration* Register_UNIDIRECTIONAL_SEQUENCE_LSTM() { … }

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