text: /* Copyright 2019 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 "absl/memory/memory.h"
  #include "tensorflow/lite/delegates/gpu/common/model_hints.h"
  #include "tensorflow/lite/delegates/gpu/common/operations.h"
  #include "tensorflow/lite/delegates/gpu/common/shape.h"
  #include "tensorflow/lite/delegates/gpu/common/status.h"
  #include "tensorflow/lite/delegates/gpu/common/task/gpu_operation.h"
  #include "tensorflow/lite/delegates/gpu/common/task/tensor_desc.h"
  #include "tensorflow/lite/delegates/gpu/common/task/weights_layout.h"
  #include "tensorflow/lite/delegates/gpu/common/task/work_group_picking.h"
  #include "tensorflow/lite/delegates/gpu/common/tasks/conv_buffer_1x1.h"
  #include "tensorflow/lite/delegates/gpu/common/tasks/conv_constants.h"
  #include "tensorflow/lite/delegates/gpu/common/tasks/conv_metal.h"
  #include "tensorflow/lite/delegates/gpu/common/tasks/conv_powervr.h"
  #include "tensorflow/lite/delegates/gpu/common/tasks/conv_weights_converter.h"
  #include "tensorflow/lite/delegates/gpu/common/util.h"
  
  namespace tflite {
  namespace gpu {
  namespace {
  
  std::unique_ptr<GPUOperation> SelectConvolutionAdreno(
      const Convolution2DAttributes& attr, const BHWC& dst_shape,
      const GpuInfo& gpu_info, const OperationDef& op_def,
      ModelHints hints) {
    if (IsConvConstantsSupported(gpu_info, op_def, attr)) {
      GPUOperation conv = CreateConvConstants(gpu_info, op_def, attr);
      return absl::make_unique<GPUOperation>(std::move(conv));
    } else {
      ConvPowerVR conv = CreateConvPowerVR(gpu_info, op_def, attr, &dst_shape);
      return absl::make_unique<ConvPowerVR>(std::move(conv));
    }
  }
  
  std::unique_ptr<GPUOperation> SelectConvolutionWinogradAdreno(
      const Convolution2DAttributes& attr, const BHWC& dst_shape,
      const GpuInfo& gpu_info, const OperationDef& op_def,
      ModelHints hints) {
    ConvPowerVR conv =
        CreateConvPowerVRWino4x4To6x6(gpu_info, op_def, attr, &dst_shape);
    return absl::make_unique<ConvPowerVR>(std::move(conv));
  }
  
  std::unique_ptr<GPUOperation> SelectConvolutionDynamicWeightsAdreno(
      const Convolution2DAttributes& attr, const BHWC& weights_shape,
      const BHWC& dst_shape, const GpuInfo& gpu_info,
      const OperationDef& op_def, ModelHints hints,
      WeightsDescription* weights_desc) {
    ConvPowerVR conv = CreateConvPowerVRDynamicWeights(
        gpu_info, op_def, attr, weights_shape, &dst_shape);
    *weights_desc = conv.GetWeightsDescription();
    return absl::make_unique<ConvPowerVR>(std::move(conv));
  }
  
  std::unique_ptr<GPUOperation> SelectConvolutionNVidia(
      const Convolution2DAttributes& attr, const BHWC& dst_shape,
      const GpuInfo& gpu_info, const OperationDef& op_def) {
    if (IsConvConstantsSupported(gpu_info, op_def, attr)) {
      GPUOperation conv = CreateConvConstants(gpu_info, op_def, attr);
      return absl::make_unique<GPUOperation>(std::move(conv));
    } else {
      ConvPowerVR conv = CreateConvPowerVR(gpu_info, op_def, attr, &dst_shape);
      return absl::make_unique<ConvPowerVR>(std::move(conv));
    }
  }
  
  std::unique_ptr<GPUOperation> SelectConvolutionPowerVR(
      const Convolution2DAttributes& attr, const GpuInfo& gpu_info,
      const OperationDef& op_def) {
    ConvPowerVR conv = CreateConvPowerVR(gpu_info, op_def, attr);
    return absl::make_unique<ConvPowerVR>(std::move(conv));
  }
  
  std::unique_ptr<GPUOperation> SelectConvolutionMali(
      const Convolution2DAttributes& attr, const BHWC& dst_shape,
      const GpuInfo& gpu_info, const OperationDef& op_def) {
    if (op_def.src_tensors[0].storage_type == TensorStorageType::BUFFER &&
        IsConvBuffer1x1Supported(op_def, attr)) {
      ConvBuffer1x1 conv =
          CreateConvBuffer1x1(gpu_info, op_def, attr, &dst_shape);
      return absl::make_unique<ConvBuffer1x1>(std::move(conv));
    } else {
      ConvPowerVR conv = CreateConvPowerVR(gpu_info, op_def, attr, &dst_shape);
      return absl::make_unique<ConvPowerVR>(std::move(conv));
    }
  }
  
  std::unique_ptr<GPUOperation> SelectConvolutionWinogradMali(
      const Convolution2DAttributes& attr, const BHWC& dst_shape,
      const GpuInfo& gpu_info, const OperationDef& op_def) {
    if (op_def.src_tensors[0].storage_type == TensorStorageType::BUFFER) {
      ConvBuffer1x1 conv =
          CreateConvBuffer1x1Wino4x4To6x6(gpu_info, op_def, attr, &dst_shape);
      return absl::make_unique<ConvBuffer1x1>(std::move(conv));
    } else {
      ConvPowerVR conv =
          CreateConvPowerVRWino4x4To6x6(gpu_info, op_def, attr, &dst_shape);
      return absl::make_unique<ConvPowerVR>(std::move(conv));
    }
  }
  
  std::unique_ptr<GPUOperation> SelectConvolutionDynamicWeightsMali(
      const Convolution2DAttributes& attr, const BHWC& weights_shape,
      const BHWC& dst_shape, const GpuInfo& gpu_info,
      const OperationDef& op_def, ModelHints hints,
      WeightsDescription* weights_desc) {
    if (op_def.src_tensors[0].storage_type == TensorStorageType::BUFFER &&
        IsConvBuffer1x1Supported(op_def, weights_shape, attr)) {
      ConvBuffer1x1 conv = CreateConvBuffer1x1DynamicWeights(
          gpu_info, op_def, attr, weights_shape, &dst_shape);
      *weights_desc = conv.GetWeightsDescription();
      return absl::make_unique<ConvBuffer1x1>(std::move(conv));
    } else {
      ConvPowerVR conv = CreateConvPowerVRDynamicWeights(
          gpu_info, op_def, attr, weights_shape, &dst_shape);
      *weights_desc = conv.GetWeightsDescription();
      return absl::make_unique<ConvPowerVR>(std::move(conv));
    }
  }
  
  }  // namespace
  
  std::unique_ptr<GPUOperation> SelectConvolution(
      const Convolution2DAttributes& attr, const BHWC& dst_shape,
      const GpuInfo& gpu_info, const OperationDef& op_def,
      ModelHints hints) {
    if (gpu_info.IsApiMetal() && IsConvolutionMetalSupported(op_def)) {
      ConvolutionMetal conv =
          CreateConvolutionMetal(op_def, dst_shape, attr, gpu_info);
      return absl::make_unique<ConvolutionMetal>(std::move(conv));
    } else if (gpu_info.IsAdreno()) {
      return SelectConvolutionAdreno(attr, dst_shape, gpu_info, op_def, hints);
    } else if (gpu_info.IsPowerVR() || gpu_info.IsAMD() || gpu_info.IsIntel() ||
               gpu_info.IsApple()) {
      return SelectConvolutionPowerVR(attr, gpu_info, op_def);
    } else if (gpu_info.IsNvidia()) {
      return SelectConvolutionNVidia(attr, dst_shape, gpu_info, op_def);
    } else if (gpu_info.IsMali()) {
      return SelectConvolutionMali(attr, dst_shape, gpu_info, op_def);
    } else {
      return SelectConvolutionAdreno(attr, dst_shape, gpu_info, op_def, hints);
    }
  }
  
  std::unique_ptr<GPUOperation> SelectConvolutionForWinograd(
      const Convolution2DAttributes& attr, const BHWC& dst_shape,
      const GpuInfo& gpu_info, const OperationDef& op_def,
      ModelHints hints) {
    if (gpu_info.IsApiMetal() && IsConvolutionMetalSupported(op_def)) {
      ConvolutionMetal conv =
          CreateConvolutionMetalWino4x4To6x6(op_def, dst_shape, attr, gpu_info);
      return absl::make_unique<ConvolutionMetal>(std::move(conv));
    } else if (gpu_info.IsAdreno()) {
      return SelectConvolutionWinogradAdreno(attr, dst_shape, gpu_info, op_def,
                                             hints);
    } else if (gpu_info.IsPowerVR() || gpu_info.IsAMD() || gpu_info.IsNvidia() ||
               gpu_info.IsIntel() || gpu_info.IsApple()) {
      ConvPowerVR conv =
          CreateConvPowerVRWino4x4To6x6(gpu_info, op_def, attr, &dst_shape);
      return absl::make_unique<ConvPowerVR>(std::move(conv));
    } else if (gpu_info.IsMali()) {
      return SelectConvolutionWinogradMali(attr, dst_shape, gpu_info, op_def);
    } else {
      return SelectConvolutionWinogradAdreno(attr, dst_shape, gpu_info, op_def,
                                             hints);
    }
  }
  
  std::unique_ptr<GPUOperation> SelectConvolutionWithDynamicWeights(
      const Convolution2DAttributes& attr, const BHWC& weights_shape,
      const BHWC& dst_shape, const GpuInfo& gpu_info,
      const OperationDef& op_def, ModelHints hints,
      WeightsDescription* weights_desc) {
    if (gpu_info.IsApiMetal() && IsConvolutionMetalSupported(op_def)) {
      Convolution2DAttributes attr_copy = attr;
      attr_copy.weights.shape = OHWI(weights_shape.b, weights_shape.h,
                                     weights_shape.w, weights_shape.c);
      ConvolutionMetal conv =
          CreateConvolutionMetal(op_def, dst_shape, attr_copy, gpu_info);
      return absl::make_unique<ConvolutionMetal>(std::move(conv));
    } else if (gpu_info.IsAdreno()) {
      return SelectConvolutionDynamicWeightsAdreno(attr, weights_shape, dst_shape,
                                                   gpu_info, op_def, hints,
                                                   weights_desc);
    } else if (gpu_info.IsMali()) {
      return SelectConvolutionDynamicWeightsMali(attr, weights_shape, dst_shape,
                                                 gpu_info, op_def, hints,
                                                 weights_desc);
    } else {
      ConvPowerVR conv = CreateConvPowerVRDynamicWeights(
          gpu_info, op_def, attr, weights_shape, &dst_shape);
      *weights_desc = conv.GetWeightsDescription();
      return absl::make_unique<ConvPowerVR>(std::move(conv));
    }
  }
  
  std::unique_ptr<GPUOperation> SelectConverterToConvWeights(
      const WeightsDescription& weights_desc, const OperationDef& op_def,
      ModelHints hints) {
    ConverterToConvWeights converter =
        ConverterToConvWeights(op_def, weights_desc);
    return absl::make_unique<ConverterToConvWeights>(std::move(converter));
  }
  
  }  // namespace gpu
  }  // namespace tflite
  