/* * Copyright (c) 2022-2024 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/GpuClamp.h" #include "arm_compute/core/experimental/Types.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/components/cl/ClComponentActivation.h" #include "src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h" namespace arm_compute { namespace experimental { namespace dynamic_fusion { namespace { Status is_supported_op_helper(const GpuWorkloadContext &context, const ITensorInfo *src, const ITensorInfo *dst, const ClampAttributes &attributes) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MSG(attributes.max_val() < attributes.min_val(), "Maximum clamp value cannot be lower than minimum value"); TensorInfo dst_info_to_validate; const ITensorInfo *dst_info_to_validate_ptr = &dst_info_to_validate; if (dst != nullptr) { dst_info_to_validate_ptr = dst; } auto_init_if_empty(dst_info_to_validate, *src->clone()); // CLAMP operator is implemented as LU_BOUNDED_RELU with the alpha and beta variables swapped const ClComponentActivation::Attributes act_info{ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, attributes.max_val(), attributes.min_val()}; // Check components if (context.gpu_language() == GpuLanguage::OpenCL) { // Validate Activation Component const auto properties = IGpuKernelComponent::Properties().stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run}); ArgumentPack arguments; arguments.add_const_tensor(ACL_SRC, src); arguments.add_const_tensor(ACL_DST, dst_info_to_validate_ptr); ARM_COMPUTE_RETURN_ON_ERROR(ClComponentActivation::validate(properties, arguments, act_info)); } else { ARM_COMPUTE_RETURN_ERROR_MSG("Unimplemented Gpu language"); } return Status{}; } constexpr GpuOperatorType operator_type = GpuOperatorType::Simple; } // namespace Status GpuClamp::is_supported_op(const GpuWorkloadContext &context, const ITensorInfo *src, const ClampAttributes &attributes) { return is_supported_op_helper(context, src, nullptr, attributes); } Status GpuClamp::validate_op(const GpuWorkloadSketch &sketch, const ITensorInfo *src, const ClampAttributes &attributes) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src); // Check if tensors have valid id, i.e. they are created from a sketch ARM_COMPUTE_RETURN_ERROR_ON(!src->has_valid_id()); // Refer to GpuConv2d::validate_op() for id-validness of this TensorInfo object TensorInfo dst_info_to_validate; // Auto initialize dst tensor info auto_init_if_empty(dst_info_to_validate, *src->clone()); // Perform fusion test to check if the operator meets fusion constraints ArgumentPack tensors; tensors.add_const_tensor(ACL_SRC, src); tensors.add_const_tensor(ACL_DST, &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_helper(*sketch.gpu_context(), src, &dst_info_to_validate, attributes); } ITensorInfo *GpuClamp::create_op(GpuWorkloadSketch &sketch, ITensorInfo *src, const ClampAttributes &attributes) { ARM_COMPUTE_ERROR_ON_NULLPTR(src); ARM_COMPUTE_LOG_PARAMS(src, attributes); ARM_COMPUTE_ERROR_THROW_ON(GpuClamp::validate_op(sketch, src, attributes)); ITensorInfo *dst = sketch.implementation().create_virtual_tensor(); ARM_COMPUTE_ERROR_ON_NULLPTR(dst); // Auto initialize dst tensor auto_init_if_empty(*dst, *src->clone()); // Translate into components and add to component graph GpuKernelComponentGraph &comp_graph = sketch.implementation().component_graph(); // CLAMP operator is implemented as LU_BOUNDED_RELU with the alpha and beta variables swapped const ClComponentActivation::Attributes act_info{ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, attributes.max_val(), attributes.min_val()}; const auto *const sketch_ctx = sketch.implementation().context(); if (sketch_ctx->gpu_language() == GpuLanguage::OpenCL) { // Add Activation Component auto properties = IGpuKernelComponent::Properties(); properties.stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run}); ArgumentPack arguments; arguments.add_const_tensor(ACL_SRC, src); arguments.add_const_tensor(ACL_DST, dst); comp_graph.add_new_component(properties, arguments, act_info); } 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 tensors; tensors.add_const_tensor(ACL_SRC, src); tensors.add_const_tensor(ACL_DST, dst); const auto op = sketch.implementation().operator_group().new_operator(operator_type, tensors); sketch.implementation().operator_group().add_operator(op); return dst; } } // namespace dynamic_fusion } // namespace experimental } // namespace arm_compute