chromium/third_party/tflite/src/tensorflow/lite/kernels/sub.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 "tensorflow/lite/kernels/internal/reference/sub.h"

#include <stddef.h>
#include <stdint.h>

#include <algorithm>
#include <limits>

#include "tensorflow/lite/core/c/builtin_op_data.h"
#include "tensorflow/lite/core/c/common.h"
#include "tensorflow/lite/kernels/internal/compatibility.h"
#include "tensorflow/lite/kernels/internal/optimized/cpu_check.h"
#include "tensorflow/lite/kernels/internal/optimized/integer_ops/sub.h"
#include "tensorflow/lite/kernels/internal/optimized/neon_check.h"
#include "tensorflow/lite/kernels/internal/optimized/optimized_ops.h"
#include "tensorflow/lite/kernels/internal/quantization_util.h"
#include "tensorflow/lite/kernels/internal/reference/add.h"
#include "tensorflow/lite/kernels/internal/reference/integer_ops/add.h"
#include "tensorflow/lite/kernels/internal/reference/process_broadcast_shapes.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/internal/types.h"
#include "tensorflow/lite/kernels/kernel_util.h"

namespace tflite {
namespace ops {
namespace builtin {
namespace sub {

// This file has three implementation of Sub.
enum KernelType { … };

constexpr int kInputTensor1 = …;
constexpr int kInputTensor2 = …;
constexpr int kOutputTensor = …;

struct OpData { … };

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

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

TfLiteStatus PrepareGeneralSubOp(TfLiteContext* context,
                                 const TfLiteTensor* input_1,
                                 const TfLiteTensor* input_2,
                                 TfLiteTensor* output, TfLiteSubParams* params,
                                 OpData* op_params) { … }

TfLiteStatus PrepareInt16SubOpPOT(TfLiteContext* context,
                                  const TfLiteTensor* input1,
                                  const TfLiteTensor* input2,
                                  TfLiteTensor* output, TfLiteSubParams* params,
                                  OpData* data) { … }

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

template <KernelType kernel_type, typename data_type>
void EvalSubImpl(TfLiteContext* context, TfLiteNode* node,
                 TfLiteSubParams* params, const OpData* data,
                 const TfLiteTensor* input1, const TfLiteTensor* input2,
                 bool requires_broadcast, TfLiteTensor* output) { … }

template <KernelType kernel_type>
void EvalSub(TfLiteContext* context, TfLiteNode* node, TfLiteSubParams* params,
             const OpData* data, const TfLiteTensor* input1,
             const TfLiteTensor* input2, TfLiteTensor* output) { … }

template <KernelType kernel_type>
void EvalQuantized(TfLiteContext* context, TfLiteNode* node,
                   TfLiteSubParams* params, const OpData* data,
                   const TfLiteTensor* input1, const TfLiteTensor* input2,
                   TfLiteTensor* output) { … }

template <KernelType kernel_type>
TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) { … }

}  // namespace sub

TfLiteRegistration* Register_SUB_REF() { … }

TfLiteRegistration* Register_SUB_GENERIC_OPT() { … }

TfLiteRegistration* Register_SUB_NEON_OPT() { … }

TfLiteRegistration* Register_SUB() { … }

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