| /* |
| * 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 "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuConv2d.h" |
| |
| #include "arm_compute/core/CL/CLCompileContext.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/experimental/Types.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/dynamic_fusion/sketch/ArgumentPack.h" |
| #include "src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h" |
| #include "src/dynamic_fusion/sketch/gpu/GpuWorkloadSourceCode.h" |
| #include "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.h" |
| #include "src/gpu/cl/kernels/gemm/ClGemmHelpers.h" |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| namespace dynamic_fusion |
| { |
| namespace |
| { |
| bool export_to_cl_image_support(const ITensorInfo *tensor, GPUTarget gpu_target, const cl::Device &device, DataLayout data_layout) |
| { |
| if(tensor->tensor_shape()[0] % 4 || (data_layout != DataLayout::NHWC)) |
| { |
| return false; |
| } |
| |
| // If not floating point |
| if(!is_data_type_float(tensor->data_type())) |
| { |
| return false; |
| } |
| |
| if(gpu_target == GPUTarget::G71 || get_arch_from_target(gpu_target) == GPUTarget::MIDGARD) |
| { |
| return false; |
| } |
| |
| // Check if the cl_khr_image2d_from_buffer extension is supported on the target platform |
| if(!image2d_from_buffer_supported(device)) |
| { |
| return false; |
| } |
| |
| // Check cl image pitch alignment |
| if(get_cl_image_pitch_alignment(device) == 0) |
| { |
| return false; |
| } |
| |
| const size_t image_w = tensor->tensor_shape()[0] / 4; |
| const size_t image_h = tensor->tensor_shape()[1] * tensor->tensor_shape()[2] * tensor->tensor_shape()[3]; |
| const size_t max_image_w = device.getInfo<CL_DEVICE_IMAGE2D_MAX_WIDTH>(); |
| const size_t max_image_h = device.getInfo<CL_DEVICE_IMAGE2D_MAX_HEIGHT>(); |
| |
| if(image_w > max_image_w || image_h > max_image_h) |
| { |
| return false; |
| } |
| |
| return true; |
| } |
| |
| GpuOperatorType operator_type = GpuOperatorType::Complex; |
| } // namespace |
| |
| Status GpuConv2d::validate_op(const GpuWorkloadSketch &sketch, |
| const ITensorInfo *src, |
| const ITensorInfo *wei, |
| const ITensorInfo *bia, |
| const ITensorInfo *dst, |
| const Conv2dAttributes &attributes) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, wei, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON( |
| !src->has_valid_id() || !wei->has_valid_id() || !dst->has_valid_id()); |
| if(bia != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(!bia->has_valid_id()); |
| } |
| |
| // Perform fusion test |
| // Pack tensor infos |
| ArgumentPack<ITensorInfo> tensors; |
| tensors.add_const_tensor(ACL_SRC_0, src); |
| tensors.add_const_tensor(ACL_SRC_1, wei); |
| tensors.add_const_tensor(ACL_SRC_2, bia); |
| tensors.add_const_tensor(ACL_DST_0, dst); |
| const auto op = sketch.implementation().operator_group().new_operator(operator_type, tensors); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(!sketch.implementation().operator_group().try_add_operator(op), |
| "Operator fusion test failed. This operator cannot be fused into the workload"); |
| |
| // Auto initialize dst tensor info |
| TensorInfo dst_info_to_validate = *dst; |
| const auto data_layout = src->data_layout(); |
| |
| { |
| auto shape = misc::shape_calculator::compute_deep_convolution_shape(src->tensor_shape(), data_layout, wei->tensor_shape(), |
| PadStrideInfo(attributes.stride().x(), attributes.stride().y(), attributes.pad().left, |
| attributes.pad().right, |
| attributes.pad().top, attributes.pad().bottom, DimensionRoundingType::FLOOR)); // use the default DimensionRoundingType |
| |
| auto_init_if_empty(dst_info_to_validate, src->clone()->set_tensor_shape(shape)); |
| } |
| |
| // Check support level |
| // Data type |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32); |
| // Data layout |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(src, DataLayout::NHWC); |
| |
| const auto sketch_ctx = sketch.implementation().context(); |
| |
| const auto gpu_target = sketch_ctx->gpu_target(); |
| |
| if(sketch_ctx->gpu_language() == GpuLanguage::OpenCL) |
| { |
| const auto cl_compile_ctx = sketch_ctx->cl_compile_context(); |
| ARM_COMPUTE_RETURN_ERROR_ON(cl_compile_ctx == nullptr); |
| // Validate Direct Conv2d Component |
| { |
| const auto properties = IGpuKernelComponent::Properties().stage(UnitWorkloadStage{ UnitWorkloadStage::Stage::Run }); |
| auto settings = ClComponentDirectConv2d::Settings(); |
| |
| settings.export_to_cl_image( |
| export_to_cl_image_support(src, gpu_target, cl_compile_ctx->get_device(), data_layout)); |
| |
| settings.fast_relaxed_math( |
| (gpu_target != GPUTarget::G71 && (gpu_target & GPUTarget::GPU_ARCH_MASK) == GPUTarget::BIFROST) |
| && (dst_info_to_validate.data_type() == DataType::F32 || dst_info_to_validate.data_type() == DataType::F16)); |
| |
| ArgumentPack<ITensorInfo> arguments; |
| arguments.add_const_tensor(ACL_SRC_0, src); |
| arguments.add_const_tensor(ACL_SRC_1, wei); |
| arguments.add_const_tensor(ACL_SRC_2, bia); |
| arguments.add_const_tensor(ACL_DST_0, &dst_info_to_validate); |
| ARM_COMPUTE_RETURN_ON_ERROR(ClComponentDirectConv2d::validate(properties, arguments, attributes, settings)); |
| } |
| } |
| else |
| { |
| ARM_COMPUTE_RETURN_ERROR_MSG("Unimplemented Gpu language"); |
| } |
| return Status{}; |
| } |
| |
| void GpuConv2d::create_op(GpuWorkloadSketch &sketch, |
| ITensorInfo *src, |
| ITensorInfo *wei, |
| ITensorInfo *bia, |
| ITensorInfo *dst, |
| const Conv2dAttributes &attributes) |
| { |
| // Assert validation |
| ARM_COMPUTE_ERROR_THROW_ON(GpuConv2d::validate_op(sketch, src, wei, bia, dst, attributes)); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, wei, dst); |
| const auto data_layout = src->data_layout(); |
| |
| // Auto initialize dst tensor |
| { |
| auto shape = misc::shape_calculator::compute_deep_convolution_shape(src->tensor_shape(), data_layout, wei->tensor_shape(), |
| PadStrideInfo(attributes.stride().x(), attributes.stride().y(), attributes.pad().left, |
| attributes.pad().right, |
| attributes.pad().top, attributes.pad().bottom, DimensionRoundingType::FLOOR)); // use the default DimensionRoundingType |
| |
| auto_init_if_empty(*dst, src->clone()->set_tensor_shape(shape)); |
| } |
| |
| // Translate into components and add to component graph |
| auto &comp_graph = sketch.implementation().component_graph(); |
| |
| const auto sketch_ctx = sketch.implementation().context(); |
| |
| const auto gpu_target = sketch_ctx->gpu_target(); |
| |
| if(sketch_ctx->gpu_language() == GpuLanguage::OpenCL) |
| { |
| const auto cl_compile_ctx = sketch_ctx->cl_compile_context(); |
| ARM_COMPUTE_ERROR_ON(cl_compile_ctx == nullptr); |
| |
| // Add Direct Conv2d Component |
| { |
| auto properties = IGpuKernelComponent::Properties(); |
| properties.stage(UnitWorkloadStage{ UnitWorkloadStage::Stage::Run }); |
| |
| auto settings = ClComponentDirectConv2d::Settings(); |
| |
| settings.export_to_cl_image( |
| export_to_cl_image_support(src, gpu_target, cl_compile_ctx->get_device(), data_layout)); |
| |
| settings.fast_relaxed_math( |
| (gpu_target != GPUTarget::G71 && (gpu_target & GPUTarget::GPU_ARCH_MASK) == GPUTarget::BIFROST) |
| && (dst->data_type() == DataType::F32 || dst->data_type() == DataType::F16)); |
| |
| if(settings.export_to_cl_image()) |
| { |
| arm_compute::opencl::kernels::gemm::update_padding_for_cl_image(wei); |
| } |
| |
| ArgumentPack<ITensorInfo> arguments; |
| arguments.add_const_tensor(ACL_SRC_0, src); |
| arguments.add_const_tensor(ACL_SRC_1, wei); |
| arguments.add_const_tensor(ACL_SRC_2, bia); |
| arguments.add_const_tensor(ACL_DST_0, dst); |
| comp_graph.add_new_component<ClComponentDirectConv2d>(properties, arguments, attributes, settings); |
| } |
| } |
| else |
| { |
| ARM_COMPUTE_ERROR("Unimplemented Gpu language"); |
| } |
| |
| // Set up fusion test by adding to the Operator Group |
| // Note this has to be performed after all the components have been successfully added to the component graph |
| |
| // Pack tensor infos |
| ArgumentPack<ITensorInfo> tensors; |
| tensors.add_const_tensor(ACL_SRC_0, src); |
| tensors.add_tensor(ACL_SRC_1, wei); |
| tensors.add_const_tensor(ACL_SRC_2, bia); |
| tensors.add_tensor(ACL_DST_0, dst); |
| |
| const auto op = sketch.implementation().operator_group().new_operator(operator_type, tensors); |
| sketch.implementation().operator_group().add_operator(op); |
| } |
| |
| } // namespace dynamic_fusion |
| } // namespace experimental |
| } // namespace arm_compute |