wehub-resource-sync
77 lines
3.0 KiB
Objective-C
77 lines
3.0 KiB
Objective-C
/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#ifndef TENSORFLOW_LITE_DELEGATES_GPU_METAL_COMMON_H_
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#define TENSORFLOW_LITE_DELEGATES_GPU_METAL_COMMON_H_
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#import <Metal/Metal.h>
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#include <map>
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#include <utility>
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#include "tensorflow/lite/delegates/gpu/common/data_type.h"
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#include "tensorflow/lite/delegates/gpu/common/status.h"
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namespace tflite {
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namespace gpu {
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namespace metal {
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/// Returns system default device on iOS or Intel GPU on macOS.
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id<MTLDevice> GetBestSupportedMetalDevice();
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absl::Status CreateComputeProgram(
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id<MTLDevice> device, const std::string& code,
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const std::string& function_name,
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const std::map<std::string, std::string>& macros,
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id<MTLComputePipelineState>* program);
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absl::Status CreateComputeProgramWithArgumentBuffer(
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id<MTLDevice> device, const std::string& code,
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const std::string& function_name,
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const std::map<std::string, std::string>& macros,
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id<MTLComputePipelineState>* program,
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id<MTLArgumentEncoder>* arguments_encoder);
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// ICB - indirect command buffer
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absl::Status CreateComputeProgramWithICBSupport(
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id<MTLDevice> device, const std::string& code,
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const std::string& function_name,
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const std::map<std::string, std::string>& macros,
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id<MTLComputePipelineState>* program,
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id<MTLArgumentEncoder>* arguments_encoder);
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absl::Status CreateFunction(id<MTLDevice> device, const std::string& code,
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const std::string& function_name,
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const std::map<std::string, std::string>& macros,
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id<MTLFunction>* function);
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int PixelFormatToSizeInBytes(MTLPixelFormat pixel_format);
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MTLPixelFormat DataTypeToRGBAPixelFormat(DataType type, bool normalized = false);
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void WriteDataToTexture2D(id<MTLTexture> texture, id<MTLDevice> device, const void* data);
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void ReadDataFromTexture2D(id<MTLTexture> texture, id<MTLDevice> device, void* data);
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void WriteDataToTexture3D(id<MTLTexture> texture, id<MTLDevice> device, const void* data);
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void ReadDataFromTexture3D(id<MTLTexture> texture, id<MTLDevice> device, void* data);
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void WriteDataToTexture2DArray(id<MTLTexture> texture, id<MTLDevice> device, const void* data);
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void ReadDataFromTexture2DArray(id<MTLTexture> texture, id<MTLDevice> device, void* data);
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} // namespace metal
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} // namespace gpu
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} // namespace tflite
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#endif // TENSORFLOW_LITE_DELEGATES_GPU_METAL_COMMON_H_
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