tile.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 <stdint.h>

#include <algorithm>
#include <tuple>
#include <utility>

#include "tensorflow/lite/core/c/common.h"
#include "tensorflow/lite/kernels/internal/reference/reference_ops.h"
#include "tensorflow/lite/kernels/internal/tensor.h"
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
#include "tensorflow/lite/kernels/kernel_util.h"
#include "tensorflow/lite/string_util.h"

namespace tflite {
namespace ops {
namespace builtin {
namespace tile {

constexpr int kInputTensor = …;
constexpr int kInputMultipliers = …;
constexpr int kOutputTensor = …;

namespace {
struct OpData { … };

template <typename T>
TfLiteIntArray* MultiplyShapeDims(const TfLiteIntArray& shape,
                                  const TfLiteTensor* multipliers,
                                  int num_dimensions) { … }

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

template <typename T, typename M>
void CopyMultipleTimes(const T* in_data, int32_t in_size, M multiplier,
                       T* out_data) { … }

template <typename M>
void CopyStringMultipleTimes(const TfLiteTensor* in_data, int in_data_index,
                             const int dimension_size, M multiplier,
                             DynamicBuffer* buffer) { … }

template <typename T, typename M>
std::pair<int, int> TileOneDimension(const TfLiteIntArray& in_dimensions,
                                     const T* in_data, const M* multipliers,
                                     T* out_data, int dimension) { … }

template <typename M>
std::pair<int, int> TileStringOneDimension(
    const TfLiteIntArray& in_dimensions, const TfLiteTensor* in_data,
    int in_data_index, const M* multipliers, DynamicBuffer* buffer,
    int buffer_index, int dimension, TfLiteTensor* out_data) { … }

template <typename T>
void Tile(const TfLiteIntArray& in_dimensions, const TfLiteTensor* in_data,
          const TfLiteTensor* multipliers, TfLiteTensor* out_data) { … }

void TileString(const TfLiteIntArray& in_dimensions,
                const TfLiteTensor* in_data, const TfLiteTensor* multipliers,
                DynamicBuffer* buffer, TfLiteTensor* out_data) { … }
}  // namespace

TfLiteStatus EvalImpl(TfLiteContext* context, const TfLiteTensor* input,
                      const TfLiteTensor* multipliers, TfLiteTensor* output) { … }

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

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

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

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

}  // namespace tile
TfLiteRegistration* Register_TILE() { … }
}  // namespace builtin
}  // namespace ops
}  // namespace tflite
chromium/third_party/tflite/src/tensorflow/lite/kernels/tile.cc
