| /* |
| * 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. |
| */ |
| |
| #include "arm_compute/core/CL/CLCompileContext.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/experimental/Types.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadContext.h" |
| |
| #include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h" |
| #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuPool2d.h" |
| #include "src/common/utils/Log.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/ClComponentPool2d.h" |
| #include "src/dynamic_fusion/utils/Utils.h" |
| |
| namespace arm_compute |
| { |
| namespace experimental |
| { |
| namespace dynamic_fusion |
| { |
| namespace |
| { |
| constexpr GpuOperatorType operator_type = GpuOperatorType::Unfusable; |
| } // namespace |
| |
| GpuPool2dSettings &GpuPool2dSettings::mixed_precision(bool mixed_precision) |
| { |
| _mixed_precision = mixed_precision; |
| return *this; |
| } |
| |
| bool GpuPool2dSettings::mixed_precision() const |
| { |
| return _mixed_precision; |
| } |
| |
| GpuPool2dSettings GpuPool2dSettings::use_inf_as_limit(bool use_inf_as_limit) |
| { |
| _use_inf_as_limit = use_inf_as_limit; |
| return *this; |
| } |
| |
| bool GpuPool2dSettings::use_inf_as_limit() const |
| { |
| return _use_inf_as_limit; |
| } |
| |
| Status GpuPool2d::validate_op(const GpuWorkloadSketch &sketch, |
| const ITensorInfo *src, |
| const ITensorInfo *dst, |
| const Pool2dAttributes &attributes, |
| const GpuPool2dSettings &settings) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON(!src->has_valid_id() || !dst->has_valid_id()); |
| |
| // Auto initialize dst tensor info |
| TensorInfo dst_info_to_validate = *dst; |
| { |
| auto shape = misc::shape_calculator::compute_pool_shape(*src, convert_pool_attr_to_pool_info(attributes, settings.mixed_precision())); |
| auto_init_if_empty(dst_info_to_validate, src->clone()->set_tensor_shape(shape)); |
| } |
| |
| // Perform fusion test |
| // Pack tensor infos |
| ArgumentPack<ITensorInfo> tensors; |
| tensors.add_const_tensor(ACL_SRC_0, src); |
| tensors.add_const_tensor(ACL_DST_0, &dst_info_to_validate); |
| |
| 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"); |
| |
| // Check if configuration is supported |
| return is_supported_op(*sketch.gpu_context(), src, &dst_info_to_validate, attributes, settings); |
| } |
| |
| Status GpuPool2d::is_supported_op(const GpuWorkloadContext &context, |
| const ITensorInfo *src, |
| const ITensorInfo *dst, |
| const Pool2dAttributes &attributes, |
| const GpuPool2dSettings &settings) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| // 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); |
| // Check exclude padding is not false |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(!attributes.exclude_padding(), "Exclude padding must be set to true in Attributes!"); |
| |
| // Auto initialize dst tensor info |
| TensorInfo dst_info_to_validate = *dst; |
| { |
| auto shape = misc::shape_calculator::compute_pool_shape(*src, convert_pool_attr_to_pool_info(attributes, settings.mixed_precision())); |
| auto_init_if_empty(dst_info_to_validate, src->clone()->set_tensor_shape(shape)); |
| } |
| |
| // Check components |
| if(context.gpu_language() == GpuLanguage::OpenCL) |
| { |
| const auto cl_compile_ctx = context.cl_compile_context(); |
| ARM_COMPUTE_RETURN_ERROR_ON(cl_compile_ctx == nullptr); |
| |
| // Validate Component |
| { |
| const KernelProperties properties = IGpuKernelComponent::Properties().stage(UnitWorkloadStage{ UnitWorkloadStage::Stage::Run }); |
| |
| ArgumentPack<ITensorInfo> arguments; |
| arguments.add_const_tensor(ACL_SRC_0, src); |
| arguments.add_const_tensor(ACL_DST_0, &dst_info_to_validate); |
| ARM_COMPUTE_RETURN_ON_ERROR(ClComponentPool2d::validate(properties, arguments, attributes, settings)); |
| } |
| } |
| else |
| { |
| ARM_COMPUTE_RETURN_ERROR_MSG("Unimplemented Gpu language"); |
| } |
| return Status{}; |
| } |
| |
| void GpuPool2d::create_op(GpuWorkloadSketch &sketch, |
| ITensorInfo *src, |
| ITensorInfo *dst, |
| const Pool2dAttributes &attributes, |
| const GpuPool2dSettings &settings) |
| { |
| // Assert validation |
| ARM_COMPUTE_ERROR_THROW_ON(GpuPool2d::validate_op(sketch, src, dst, attributes, settings)); |
| ARM_COMPUTE_LOG_PARAMS(src, dst, attributes, settings); |
| |
| // Auto initialize dst tensor |
| { |
| auto shape = misc::shape_calculator::compute_pool_shape(*src, convert_pool_attr_to_pool_info(attributes, settings.mixed_precision())); // 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(); |
| |
| if(sketch_ctx->gpu_language() == GpuLanguage::OpenCL) |
| { |
| const auto cl_compile_ctx = sketch_ctx->cl_compile_context(); |
| ARM_COMPUTE_UNUSED(cl_compile_ctx); |
| ARM_COMPUTE_ERROR_ON(cl_compile_ctx == nullptr); |
| |
| // Add Component |
| { |
| auto properties = IGpuKernelComponent::Properties(); |
| properties.stage(UnitWorkloadStage{ UnitWorkloadStage::Stage::Run }); |
| |
| ArgumentPack<ITensorInfo> arguments; |
| arguments.add_const_tensor(ACL_SRC_0, src); |
| arguments.add_const_tensor(ACL_DST_0, dst); |
| comp_graph.add_new_component<ClComponentPool2d>(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_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 |