chromium/third_party/tflite/src/tensorflow/lite/kernels/conv3d.cc

/* Copyright 2021 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/conv3d.h"

#include <cstddef>
#include <cstdint>
#include <vector>

#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/optimized/optimized_ops.h"
#include "tensorflow/lite/kernels/internal/tensor_ctypes.h"
#include "tensorflow/lite/kernels/internal/types.h"
#include "tensorflow/lite/kernels/kernel_util.h"
#include "tensorflow/lite/kernels/padding.h"
#include "tensorflow/lite/util.h"

namespace tflite {
namespace ops {
namespace builtin {
namespace conv3d {

enum KernelType { … };

// Struct to carry data from Prepare to Eval.
const int kTensorNotAllocated = …;
static constexpr size_t kMaxIm2colBufferSizeMobile = …;  // 1GB

struct OpData { … };

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

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

TfLiteStatus AllocateTemporaryTensorsIfRequired(
    KernelType kernel_type, TfLiteContext* context, TfLiteNode* node,
    OpData* opdata, TfLiteConv3DParams* params, const TfLiteTensor* filter,
    size_t im2col_bytes) { … }

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

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

TfLiteStatus EvalFloat(KernelType kernel_type, TfLiteContext* context,
                       TfLiteNode* node, TfLiteConv3DParams* params,
                       OpData* opdata, const TfLiteTensor* input,
                       const TfLiteTensor* filter, const TfLiteTensor* bias,
                       TfLiteTensor* im2col, TfLiteTensor* output) { … }

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

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

}  // namespace conv3d

TfLiteRegistration* Register_CONV_3D_REF() { … }

TfLiteRegistration* Register_CONV_3D_GENERIC_OPT() { … }

TfLiteRegistration* Register_CONV_3D() { … }

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