From df6a3b05842a98702437347ca269138ccd55f852 Mon Sep 17 00:00:00 2001 From: Ramy Elgammal Date: Wed, 30 Nov 2022 16:23:10 +0000 Subject: Use heuristics for setting dynamic fusion direct conv2d tile sizes Resolves: COMPMID-5735 Change-Id: I9958413b69c5052cfa205dd0e9457cc4953aaf35 Signed-off-by: Ramy Elgammal Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/474818 Tested-by: bsgcomp Reviewed-by: Gian Marco Iodice Comments-Addressed: bsgcomp Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8724 Tested-by: Arm Jenkins Comments-Addressed: Arm Jenkins Benchmark: Arm Jenkins --- .../ClDirectConvDefaultConfigBifrost.cpp | 192 ++++++++++ .../direct_conv/ClDirectConvDefaultConfigBifrost.h | 55 +++ .../ClDirectConvDefaultConfigValhall.cpp | 400 +++++++++++++++++++++ .../direct_conv/ClDirectConvDefaultConfigValhall.h | 55 +++ .../direct_conv/ClDirectConvKernelConfig.h | 64 ++++ .../direct_conv/IClDirectConvKernelConfig.h | 115 ++++++ 6 files changed, 881 insertions(+) create mode 100644 src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.cpp create mode 100644 src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.h create mode 100644 src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.cpp create mode 100644 src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.h create mode 100644 src/runtime/heuristics/direct_conv/ClDirectConvKernelConfig.h create mode 100644 src/runtime/heuristics/direct_conv/IClDirectConvKernelConfig.h (limited to 'src/runtime') diff --git a/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.cpp b/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.cpp new file mode 100644 index 0000000000..1bfb8124e9 --- /dev/null +++ b/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.cpp @@ -0,0 +1,192 @@ +/* + * Copyright (c) 2022 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. + */ +#include "src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/GPUTarget.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include + +namespace arm_compute +{ +namespace cl_direct_conv +{ +using namespace arm_compute::misc::shape_calculator; + +ClDirectConvDefaultConfigBifrost::ClDirectConvDefaultConfigBifrost(GPUTarget gpu) + : IClDirectConvKernelConfig(gpu) +{ +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigBifrost::configure(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + using ConfigurationFunctionExecutorPtr = DirectConvComputeKernelInfo (ClDirectConvDefaultConfigBifrost::*)(const ITensorInfo * src, const ITensorInfo * wei, const PadStrideInfo & conv_info); + + ClDirectConvConfigArray configs_G71(&ClDirectConvDefaultConfigBifrost::configure_G71_f32, + &ClDirectConvDefaultConfigBifrost::configure_G71_f16, + &ClDirectConvDefaultConfigBifrost::configure_G71_u8); + + ClDirectConvConfigArray configs_default(&ClDirectConvDefaultConfigBifrost::configure_default_f32, + &ClDirectConvDefaultConfigBifrost::configure_default_f16, + &ClDirectConvDefaultConfigBifrost::configure_G71_u8); + + ConfigurationFunctionExecutorPtr func = nullptr; + switch(_target) + { + case GPUTarget::G71: + func = configs_G71.get_function(src->data_type()); + break; + default: + func = configs_default.get_function(src->data_type()); + break; + } + + ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not supported for direct convolution"); + return (this->*func)(src, wei, conv_info); +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigBifrost::configure_G71_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + TensorShape output_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + + desc.n0 = 4; + + if(output_shape[0] > 16) + { + desc.m0 = 2; + } + + desc.k0 = 8; + + desc.export_weights_to_cl_image = false; + } + + return desc; +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigBifrost::configure_G71_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + TensorShape output_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + + desc.n0 = 4; + + if(output_shape[0] > 16) + { + desc.m0 = 4; + } + + desc.k0 = 8; + + desc.export_weights_to_cl_image = false; + } + + return desc; +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigBifrost::configure_G71_u8(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + TensorShape output_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + + desc.n0 = 4; + + if(output_shape[0] > 16) + { + desc.m0 = 4; + } + + desc.k0 = 16; + + desc.export_weights_to_cl_image = false; + } + + return desc; +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigBifrost::configure_default_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + TensorShape output_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + + desc.n0 = 4; + + if(output_shape[0] > 16) + { + desc.m0 = 2; + } + + desc.k0 = 8; + + desc.export_weights_to_cl_image = export_to_cl_image(wei); + } + + return desc; +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigBifrost::configure_default_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + TensorShape output_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + + desc.n0 = 4; + + if(output_shape[0] > 16) + { + desc.m0 = 4; + } + + desc.k0 = 8; + + desc.export_weights_to_cl_image = export_to_cl_image(wei); + } + + return desc; +} +} // namespace opencl +} // namespace arm_compute diff --git a/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.h b/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.h new file mode 100644 index 0000000000..6b60b2c007 --- /dev/null +++ b/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.h @@ -0,0 +1,55 @@ +/* + * Copyright (c) 2022 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 SRC_RUNTIME_HEURISTICS_DIRECT_CONV_CLDIRECTCONVDEFAULTCONFIGBIFROST +#define SRC_RUNTIME_HEURISTICS_DIRECT_CONV_CLDIRECTCONVDEFAULTCONFIGBIFROST + +#include "src/runtime/heuristics/direct_conv/IClDirectConvKernelConfig.h" + +namespace arm_compute +{ +namespace cl_direct_conv +{ +/** Bifrost based OpenCL direct convolution configuration */ +class ClDirectConvDefaultConfigBifrost final : public IClDirectConvKernelConfig +{ +public: + /** Constructor + * + * @param[in] gpu GPU target + */ + ClDirectConvDefaultConfigBifrost(GPUTarget gpu); + + // Inherited overridden method + DirectConvComputeKernelInfo configure(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) override; + +private: + DirectConvComputeKernelInfo configure_G71_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); + DirectConvComputeKernelInfo configure_G71_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); + DirectConvComputeKernelInfo configure_G71_u8(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); + DirectConvComputeKernelInfo configure_default_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); + DirectConvComputeKernelInfo configure_default_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); +}; +} // namespace opencl +} // namespace arm_compute +#endif /* SRC_RUNTIME_HEURISTICS_DIRECT_CONV_CLDIRECTCONVDEFAULTCONFIGBIFROST */ diff --git a/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.cpp b/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.cpp new file mode 100644 index 0000000000..8f2fd82412 --- /dev/null +++ b/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.cpp @@ -0,0 +1,400 @@ +/* + * Copyright (c) 2022 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. + */ +#include "src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLKernelLibrary.h" +#include "arm_compute/core/GPUTarget.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" +#include + +namespace arm_compute +{ +namespace cl_direct_conv +{ +using namespace arm_compute::misc::shape_calculator; + +ClDirectConvDefaultConfigValhall::ClDirectConvDefaultConfigValhall(GPUTarget gpu) + : IClDirectConvKernelConfig(gpu) +{ +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigValhall::configure(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + using ConfigurationFunctionExecutorPtr = DirectConvComputeKernelInfo (ClDirectConvDefaultConfigValhall::*)(const ITensorInfo * src, const ITensorInfo * wei, const PadStrideInfo & conv_info); + + ClDirectConvConfigArray configs_G78(&ClDirectConvDefaultConfigValhall::configure_G78_f32, + &ClDirectConvDefaultConfigValhall::configure_G78_f16, + &ClDirectConvDefaultConfigValhall::configure_G78_u8); + + ClDirectConvConfigArray configs_G57(&ClDirectConvDefaultConfigValhall::configure_G57_f32, + &ClDirectConvDefaultConfigValhall::configure_G57_f16, + &ClDirectConvDefaultConfigValhall::configure_G78_u8); + + ConfigurationFunctionExecutorPtr func = nullptr; + switch(_target) + { + case GPUTarget::G57: + func = configs_G57.get_function(src->data_type()); + break; + case GPUTarget::G78: + default: + func = configs_G78.get_function(src->data_type()); + break; + } + + ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not supported for direct convolution"); + return (this->*func)(src, wei, conv_info); +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigValhall::configure_G78_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + const TensorShape wei_shape = wei->tensor_shape(); + const TensorShape dst_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + const bool export_weights_to_cl_image = export_to_cl_image(wei); + + const int32_t ofm = dst_shape[0]; + const int32_t m = dst_shape[1] * dst_shape[2]; + const bool is_pointwise = (wei_shape[1] == wei_shape[2]) && wei_shape[1] == 1; + + desc.export_weights_to_cl_image = export_weights_to_cl_image; + + if(dst_shape[0] <= 4) + { + if(is_pointwise) + { + if(ofm == 4) + { + desc.m0 = 1; + desc.n0 = 4; + desc.k0 = 16; + } + else + { + desc.m0 = 1; + desc.n0 = 1; + desc.k0 = 16; + } + } + else + { + desc.m0 = 1; + desc.n0 = 2; + desc.k0 = 16; + } + } + else + { + if(m < 64) + { + desc.m0 = 1; + desc.n0 = 1; + desc.k0 = 16; + } + else + { + desc.m0 = 4; + desc.n0 = 4; + desc.k0 = 4; + } + } + } + + return desc; +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigValhall::configure_G78_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + const TensorShape wei_shape = wei->tensor_shape(); + const TensorShape dst_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + const bool export_weights_to_cl_image = export_to_cl_image(wei); + + const int32_t ofm = dst_shape[0]; + const int32_t m = dst_shape[1] * dst_shape[2]; + const int32_t k = wei_shape[0]; + const bool is_pointwise = (wei_shape[1] == wei_shape[2]) && wei_shape[1] == 1; + + desc.export_weights_to_cl_image = export_weights_to_cl_image; + + if(dst_shape[0] <= 4) + { + // k0 should be as larger as possible. However, we should avoid + // having left-over for loops that make the implementation slower. + if((k % 16) == 0) + { + desc.k0 = 16; + } + else if((k % 8) == 0) + { + desc.k0 = 8; + } + else + { + desc.k0 = 4; + } + + if(is_pointwise) + { + if(ofm == 4) + { + desc.m0 = 1; + desc.n0 = 4; + } + else + { + desc.m0 = 1; + desc.n0 = 1; + } + } + else + { + desc.m0 = 1; + desc.n0 = dst_shape[0]; + } + } + else + { + if(m < 64) + { + desc.m0 = 1; + desc.n0 = 1; + if((k % 16) == 0) + { + desc.k0 = 16; + } + else if((k % 8) == 0) + { + desc.k0 = 8; + } + else + { + desc.k0 = 4; + } + } + else + { + if(ofm >= 16) + { + if(m / 6 > 24000) + { + desc.m0 = 6; + } + else + { + desc.m0 = 5; + } + desc.n0 = 8; + desc.k0 = 4; + } + else + { + desc.m0 = 2; + desc.n0 = 8; + if((k % 16) == 0) + { + desc.k0 = 16; + } + else if((k % 8) == 0) + { + desc.k0 = 8; + } + else + { + desc.k0 = 4; + } + } + } + } + } + + return desc; +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigValhall::configure_G78_u8(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + TensorShape output_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + + desc.n0 = 4; + + if(output_shape[0] > 16) + { + desc.m0 = 4; + } + + desc.k0 = 16; + + desc.export_weights_to_cl_image = false; + } + + return desc; +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigValhall::configure_G57_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + const TensorShape wei_shape = wei->tensor_shape(); + const TensorShape dst_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + const bool export_weights_to_cl_image = export_to_cl_image(wei); + + const int32_t m = dst_shape[1] * dst_shape[2]; + const bool is_pointwise = (wei_shape[1] == wei_shape[2]) && wei_shape[1] == 1; + + desc.export_weights_to_cl_image = export_weights_to_cl_image; + + if(dst_shape[0] <= 4) + { + if(is_pointwise) + { + desc.m0 = 1; + desc.n0 = 1; + desc.k0 = 16; + } + else + { + desc.m0 = 1; + desc.n0 = dst_shape[0]; + desc.k0 = 16; + } + } + else + { + if(m < 64) + { + if(m == 1) + { + desc.m0 = 1; + desc.n0 = 1; + desc.k0 = 16; + } + else + { + desc.m0 = 4; + desc.n0 = 2; + desc.k0 = 8; + } + } + else + { + desc.m0 = 4; + desc.n0 = 4; + desc.k0 = 4; + } + } + } + + return desc; +} + +DirectConvComputeKernelInfo ClDirectConvDefaultConfigValhall::configure_G57_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) +{ + DirectConvComputeKernelInfo desc; + + if(src->data_layout() == DataLayout::NHWC) + { + // Get the output shape + const TensorShape wei_shape = wei->tensor_shape(); + const TensorShape dst_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, conv_info); + const bool export_weights_to_cl_image = export_to_cl_image(wei); + + const int32_t ofm = dst_shape[0]; + const int32_t m = dst_shape[1] * dst_shape[2]; + const bool is_pointwise = (wei_shape[1] == wei_shape[2]) && wei_shape[1] == 1; + + desc.export_weights_to_cl_image = export_weights_to_cl_image; + + if(dst_shape[0] <= 4) + { + if(is_pointwise) + { + desc.m0 = 2; + desc.n0 = 1; + desc.k0 = 16; + } + else + { + desc.m0 = 1; + desc.n0 = dst_shape[0]; + desc.k0 = 16; + } + } + else + { + if(m < 64) + { + if(m == 1) + { + desc.m0 = 1; + desc.n0 = 1; + desc.k0 = 16; + } + else + { + desc.m0 = 4; + desc.n0 = 2; + desc.k0 = 8; + } + } + else + { + if(ofm > 16) + { + desc.m0 = 4; + desc.n0 = 8; + desc.k0 = 8; + } + else + { + desc.m0 = 8; + desc.n0 = 4; + desc.k0 = 4; + } + } + } + } + + return desc; +} +} // namespace opencl +} // namespace arm_compute diff --git a/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.h b/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.h new file mode 100644 index 0000000000..f9d5c5299e --- /dev/null +++ b/src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.h @@ -0,0 +1,55 @@ +/* + * Copyright (c) 2022 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 SRC_RUNTIME_HEURISTICS_DIRECT_CONV_CLDIRECTCONVDEFAULTCONFIGVALHALL +#define SRC_RUNTIME_HEURISTICS_DIRECT_CONV_CLDIRECTCONVDEFAULTCONFIGVALHALL + +#include "src/runtime/heuristics/direct_conv/IClDirectConvKernelConfig.h" + +namespace arm_compute +{ +namespace cl_direct_conv +{ +/** Valhall based OpenCL direct convolution configuration */ +class ClDirectConvDefaultConfigValhall final : public IClDirectConvKernelConfig +{ +public: + /** Constructor + * + * @param[in] gpu GPU target + */ + ClDirectConvDefaultConfigValhall(GPUTarget gpu); + + // Inherited overridden method + DirectConvComputeKernelInfo configure(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) override; + +private: + DirectConvComputeKernelInfo configure_G78_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); + DirectConvComputeKernelInfo configure_G78_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); + DirectConvComputeKernelInfo configure_G78_u8(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); + DirectConvComputeKernelInfo configure_G57_f32(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); + DirectConvComputeKernelInfo configure_G57_f16(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info); +}; +} // namespace opencl +} // namespace arm_compute +#endif /* SRC_RUNTIME_HEURISTICS_DIRECT_CONV_CLDIRECTCONVDEFAULTCONFIGVALHALL */ diff --git a/src/runtime/heuristics/direct_conv/ClDirectConvKernelConfig.h b/src/runtime/heuristics/direct_conv/ClDirectConvKernelConfig.h new file mode 100644 index 0000000000..232167fc59 --- /dev/null +++ b/src/runtime/heuristics/direct_conv/ClDirectConvKernelConfig.h @@ -0,0 +1,64 @@ +/* + * Copyright (c) 2022 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 SRC_RUNTIME_HEURISTICS_DIRECT_CONV_CLDIRECTCONVKERNELCONFIG +#define SRC_RUNTIME_HEURISTICS_DIRECT_CONV_CLDIRECTCONVKERNELCONFIG + +#include "src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigBifrost.h" +#include "src/runtime/heuristics/direct_conv/ClDirectConvDefaultConfigValhall.h" +#include "src/runtime/heuristics/direct_conv/IClDirectConvKernelConfig.h" + +#include + +namespace arm_compute +{ +namespace cl_direct_conv +{ +/** ClDirectConvolution factory class */ +class ClDirectConvKernelConfigurationFactory final +{ +public: + /** Static method to call the ClDirectConvolution kernel configuration class accordingly with the GPU target + * + * @param[in] gpu GPU target + * + * @return IClDirectConvKernelConfig + */ + static std::unique_ptr create(GPUTarget gpu) + { + switch(get_arch_from_target(gpu)) + { + case GPUTarget::MIDGARD: + return std::make_unique(GPUTarget::G71); + case GPUTarget::BIFROST: + return std::make_unique(gpu); + case GPUTarget::VALHALL: + return std::make_unique(gpu); + default: + ARM_COMPUTE_ERROR("Not supported GPU target"); + } + } +}; +} // namespace opencl +} // namespace arm_compute +#endif /* SRC_RUNTIME_HEURISTICS_DIRECT_CONV_CLDIRECTCONVKERNELCONFIG */ diff --git a/src/runtime/heuristics/direct_conv/IClDirectConvKernelConfig.h b/src/runtime/heuristics/direct_conv/IClDirectConvKernelConfig.h new file mode 100644 index 0000000000..6104d73594 --- /dev/null +++ b/src/runtime/heuristics/direct_conv/IClDirectConvKernelConfig.h @@ -0,0 +1,115 @@ +/* + * Copyright (c) 2022 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 SRC_RUNTIME_HEURISTICS_DIRECT_CONV_ICLDIRECTCONVKERNELCONFIG +#define SRC_RUNTIME_HEURISTICS_DIRECT_CONV_ICLDIRECTCONVKERNELCONFIG + +#include "arm_compute/core/GPUTarget.h" +#include "arm_compute/core/KernelDescriptors.h" +#include "arm_compute/core/Types.h" +#include "src/core/common/Macros.h" + +namespace arm_compute +{ +namespace cl_direct_conv +{ +/** Basic container for the OpenCL direct convolution configuration functions */ +template +class ClDirectConvConfigArray +{ +public: + /** Alias for F32 index */ + static constexpr size_t DT_F32 = 0; + /** Alias for F16 index */ + static constexpr size_t DT_F16 = 1; + /** Alias for Int8 index */ + static constexpr size_t DT_INT8 = 2; + + /** Constructor + * + * @param[in] func_f32 Function to call for direct convolution F32 + * @param[in] func_f16 Function to call for direct convolution F16 + * @param[in] func_int8 Function to call for direct convolution Int8 (QASYMM8, QASYMM8_SIGNED, QSYMM8_PER_CHANNEL) + * + */ + ClDirectConvConfigArray(T func_f32, T func_f16, T func_int8) + : _configs{ func_f32, func_f16, func_int8 } + { + } + + /** Method to return the direct convolution configuration function based on data type + * + * @param[in] data_type Input data type + * + * @return the valid function otherwise it returns nullptr if the data type is not valid + */ + T get_function(DataType data_type) + { + switch(data_type) + { + case DataType::F32: + return _configs.at(DT_F32); + case DataType::F16: + return _configs.at(DT_F16); + case DataType::QASYMM8: + case DataType::QASYMM8_SIGNED: + case DataType::QSYMM8_PER_CHANNEL: + return _configs.at(DT_INT8); + default: + return nullptr; + } + } + +private: + std::array _configs; +}; + +/** Basic interface for the Direct convolution kernel configuration */ +class IClDirectConvKernelConfig +{ +public: + /** Constructor + * + * @param[in] arch GPU target + */ + IClDirectConvKernelConfig(GPUTarget arch) + : _target(arch) + { + } + ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(IClDirectConvKernelConfig); + /** Virtual destructor */ + virtual ~IClDirectConvKernelConfig() = default; + /** This method returns the @ref DirectConvComputeKernelInfo for the given inputs + * + * @param[in] src Source tensor (activation tensor) + * @param[in] wei Weights tensor + * @param[in] conv_info Convolution info + */ + virtual DirectConvComputeKernelInfo configure(const ITensorInfo *src, const ITensorInfo *wei, const PadStrideInfo &conv_info) = 0; + +protected: + GPUTarget _target; +}; +} // namespace opencl +} // namespace arm_compute +#endif /* SRC_RUNTIME_HEURISTICS_DIRECT_CONV_ICLDIRECTCONVKERNELCONFIG */ -- cgit v1.2.1