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author | SiCong Li <sicong.li@arm.com> | 2023-07-18 17:56:49 +0100 |
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committer | SiCong Li <sicong.li@arm.com> | 2023-07-28 15:29:15 +0000 |
commit | 16b37527906c68885f81a8db35f9d6040d73efec (patch) | |
tree | 9669b5ebda00b3e3b1ac55992c144b09324b5997 /src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/type_converter/Common.h | |
parent | 9129549110527fd53655d3e6b61e8e59bed6f97f (diff) | |
download | ComputeLibrary-16b37527906c68885f81a8db35f9d6040d73efec.tar.gz |
Port ElementwiseBinary to CKW part 2
* Add fp16 support
* Implement broadcasting to elementwise binary
* Implement kernel name and kernel config id
* Always use explicit cast in ckw unary, binary and ternary elementwise
functions. This is to address the accidental use of double literals,
with other benefits.
* Refactor TypeConverter for smaller includes
Resolves COMPMID-6260
Change-Id: I26b726746f8c0dd7b5942ad379d56f4d7642d15f
Signed-off-by: SiCong Li <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/9999
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/type_converter/Common.h')
-rw-r--r-- | src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/type_converter/Common.h | 180 |
1 files changed, 180 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/type_converter/Common.h b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/type_converter/Common.h new file mode 100644 index 0000000000..34b1283add --- /dev/null +++ b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/type_converter/Common.h @@ -0,0 +1,180 @@ +/* + * Copyright (c) 2023 Arm Limited. + * + * SPDX-License-Identifier: MIT + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to + * deal in the Software without restriction, including without limitation the + * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + * sell copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#ifndef ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_CKW_DRIVER_COMPONENTS_UTILS_TYPE_CONVERTER_COMMON +#define ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_CKW_DRIVER_COMPONENTS_UTILS_TYPE_CONVERTER_COMMON + +#include "arm_compute/core/ITensorInfo.h" +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "ckw/TensorInfo.h" +#include "src/dynamic_fusion/sketch/gpu/GpuKernelArgument.h" + +namespace arm_compute +{ +namespace experimental +{ +namespace dynamic_fusion +{ +inline ckw::DataType to_ckw(DataType dt) +{ + switch(dt) + { + case DataType::F32: + return ckw::DataType::Fp32; + case DataType::F16: + return ckw::DataType::Fp16; + case DataType::S32: + return ckw::DataType::Int32; + case DataType::S16: + return ckw::DataType::Int16; + case DataType::S8: + case DataType::QASYMM8_SIGNED: + return ckw::DataType::Int8; + case DataType::U32: + return ckw::DataType::Uint32; + case DataType::U16: + return ckw::DataType::Uint16; + case DataType::U8: + case DataType::QASYMM8: + return ckw::DataType::Uint8; + default: + return ckw::DataType::Unknown; + } +} + +inline ckw::TensorShape to_ckw(const TensorShape &shape) +{ + ARM_COMPUTE_ERROR_ON(shape.num_max_dimensions < std::tuple_size<ckw::TensorShape> {}); + ARM_COMPUTE_ERROR_ON(std::tuple_size<ckw::TensorShape> {} != 5); + /// NOTE: Overflow danger. Use size_t? + return ckw::TensorShape + { + static_cast<int32_t>(shape[0]), + static_cast<int32_t>(shape[1]), + static_cast<int32_t>(shape[2]), + static_cast<int32_t>(shape[3]), + static_cast<int32_t>(shape[4]) + }; +} +inline ckw::TensorDataLayout to_ckw(DataLayout dl) +{ + switch(dl) + { + case DataLayout::NHWC: + return ckw::TensorDataLayout::Nhwc; + case DataLayout::NDHWC: + return ckw::TensorDataLayout::Ndhwc; + default: + return ckw::TensorDataLayout::Unknown; + } +} +inline ckw::TensorInfo to_ckw(const ITensorInfo &tensor_info) +{ + return ckw::TensorInfo + { + to_ckw(tensor_info.data_type()), + to_ckw(tensor_info.tensor_shape()), + to_ckw(tensor_info.data_layout()), + tensor_info.id() + }; +} + +inline TensorComponentType from_ckw(const ckw::TensorComponentType &component) +{ + switch(component) + { + case ckw::TensorComponentType::OffsetFirstElement: + return TensorComponentType::OffsetFirstElement; + case ckw::TensorComponentType::Stride0: + return TensorComponentType::Stride0; + case ckw::TensorComponentType::Stride1: + return TensorComponentType::Stride1; + case ckw::TensorComponentType::Stride2: + return TensorComponentType::Stride2; + case ckw::TensorComponentType::Stride3: + return TensorComponentType::Stride3; + case ckw::TensorComponentType::Stride4: + return TensorComponentType::Stride4; + case ckw::TensorComponentType::Dim0: + return TensorComponentType::Dim0; + case ckw::TensorComponentType::Dim1: + return TensorComponentType::Dim1; + case ckw::TensorComponentType::Dim2: + return TensorComponentType::Dim2; + case ckw::TensorComponentType::Dim3: + return TensorComponentType::Dim3; + case ckw::TensorComponentType::Dim4: + return TensorComponentType::Dim4; + case ckw::TensorComponentType::Dim1xDim2: + return TensorComponentType::Dim1xDim2; + case ckw::TensorComponentType::Dim2xDim3: + return TensorComponentType::Dim2xDim3; + case ckw::TensorComponentType::Dim1xDim2xDim3: + return TensorComponentType::Dim1xDim2xDim3; + case ckw::TensorComponentType::Unknown: + return TensorComponentType::Unknown; + default: + ARM_COMPUTE_ERROR("Unknown CKW tensor component"); + return TensorComponentType::Unknown; + } +} + +inline ckw::TensorStorageType to_ckw(const TensorStorageType &storage) +{ + switch(storage) + { + case TensorStorageType::ClBufferUint8Ptr: + return ckw::TensorStorageType::BufferUint8Ptr; + case TensorStorageType::ClImage2dReadOnly: + return ckw::TensorStorageType::Texture2dReadOnly; + case TensorStorageType::ClImage2dWriteOnly: + return ckw::TensorStorageType::Texture2dWriteOnly; + case TensorStorageType::Unknown: + return ckw::TensorStorageType::Unknown; + default: + ARM_COMPUTE_ERROR("Unknown tensor storage type"); + return ckw::TensorStorageType::Unknown; + } +} +inline TensorStorageType from_ckw(const ckw::TensorStorageType &storage) +{ + switch(storage) + { + case ckw::TensorStorageType::BufferUint8Ptr: + return TensorStorageType::ClBufferUint8Ptr; + case ckw::TensorStorageType::Texture2dReadOnly: + return TensorStorageType::ClImage2dReadOnly; + case ckw::TensorStorageType::Texture2dWriteOnly: + return TensorStorageType::ClImage2dWriteOnly; + case ckw::TensorStorageType::Unknown: + return TensorStorageType::Unknown; + default: + ARM_COMPUTE_ERROR("Unknown CKW tensor storage type"); + return TensorStorageType::Unknown; + } +} +} // namespace dynamic_fusion +} // namespace experimental +} // namespace arm_compute +#endif /* ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_CKW_DRIVER_COMPONENTS_UTILS_TYPE_CONVERTER_COMMON */ |