/* * Copyright (c) 2016-2021 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/gpu/cl/kernels/ClActivationKernel.h" #include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Utils.h" #include "src/core/CL/CLValidate.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" #include "support/Cast.h" #include "support/StringSupport.h" #include namespace arm_compute { namespace opencl { namespace kernels { namespace { Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const ActivationLayerInfo &act_info) { ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM16, DataType::F16, DataType::F32); static std::set quantized_supported_activations = { ActivationLayerInfo::ActivationFunction::RELU, ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, ActivationLayerInfo::ActivationFunction::LOGISTIC, ActivationLayerInfo::ActivationFunction::TANH, ActivationLayerInfo::ActivationFunction::HARD_SWISH, ActivationLayerInfo::ActivationFunction::LEAKY_RELU, }; const DataType data_type = src->data_type(); const QuantizationInfo &oq_info = (dst != nullptr) ? dst->quantization_info() : src->quantization_info(); const ActivationLayerInfo::ActivationFunction f_act = act_info.activation(); ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_data_type_quantized(data_type) && (quantized_supported_activations.count(f_act) == 0), "For Quantized data type only hard swish, leaky relu, tanh, logistic, relu and lower/upper bounded relu are supported"); ARM_COMPUTE_RETURN_ERROR_ON(data_type == DataType::QASYMM8 && (f_act == ActivationLayerInfo::ActivationFunction::TANH) && (oq_info != QuantizationInfo(1.f / 128.f, 128))); ARM_COMPUTE_RETURN_ERROR_ON(data_type == DataType::QASYMM8 && (f_act == ActivationLayerInfo::ActivationFunction::LOGISTIC) && (oq_info != QuantizationInfo(1.f / 256.f, 0))); ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_quantized_symmetric(data_type) && (f_act == ActivationLayerInfo::ActivationFunction::TANH) && (oq_info != QuantizationInfo(1.f / 32768.f, 0))); ARM_COMPUTE_RETURN_ERROR_ON(is_data_type_quantized_symmetric(data_type) && (f_act == ActivationLayerInfo::ActivationFunction::LOGISTIC) && (oq_info != QuantizationInfo(1.f / 32768.f, 0))); ARM_COMPUTE_RETURN_ERROR_ON(data_type == DataType::QASYMM8_SIGNED && (f_act == ActivationLayerInfo::ActivationFunction::TANH) && (oq_info != QuantizationInfo(1.f / 128.f, 0))); ARM_COMPUTE_RETURN_ERROR_ON(data_type == DataType::QASYMM8_SIGNED && (f_act == ActivationLayerInfo::ActivationFunction::LOGISTIC) && (oq_info != QuantizationInfo(1.f / 256.f, -128))); // Checks performed when destination is configured if((dst != nullptr) && (dst->total_size() != 0)) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); } return Status{}; } } // namespace ClActivationKernel::ClActivationKernel() { _type = CLKernelType::ELEMENTWISE; } void ClActivationKernel::configure(const ClCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst, ActivationLayerInfo act_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(src); auto padding_info = get_padding_info({ src, dst }); _run_in_place = (dst == nullptr) || (dst == src); if(dst != nullptr) { // Destination auto inizialitation if not yet initialized auto_init_if_empty(*dst, *src->clone()); } ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, (dst != nullptr) ? dst : nullptr, act_info)); const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / src->element_size(), src->dimension(0)); const DataType dt = src->data_type(); float a_const = act_info.a(); float b_const = act_info.b(); const ActivationLayerInfo::ActivationFunction f_act = act_info.activation(); const bool is_quantized = is_data_type_quantized(dt); const bool perform_activation_in_float = (f_act == ActivationLayerInfo::ActivationFunction::LOGISTIC) || (f_act == ActivationLayerInfo::ActivationFunction::TANH) || (f_act == ActivationLayerInfo::ActivationFunction::HARD_SWISH) || (f_act == ActivationLayerInfo::ActivationFunction::LEAKY_RELU); // Set build options CLBuildOptions build_opts; build_opts.add_option_if(perform_activation_in_float, "-DFLOAT_DOMAIN"); build_opts.add_option_if(_run_in_place, "-DIN_PLACE"); build_opts.add_option("-DACT=" + lower_string(string_from_activation_func(f_act))); build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(dt)); build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(src->dimension(0) % num_elems_processed_per_iteration)); std::string kernel_name = std::string("activation_layer"); // Set quantization info build options if(is_quantized) { const UniformQuantizationInfo iq_info = src->quantization_info().uniform(); if(!perform_activation_in_float) { int a_const_int = 0; int b_const_int = 0; // Create quantized version of constants a, b if needed switch(dt) { case DataType::QASYMM8: { a_const_int = quantize_qasymm8(a_const, iq_info); b_const_int = quantize_qasymm8(b_const, iq_info); } break; case DataType::QASYMM8_SIGNED: { a_const_int = quantize_qasymm8_signed(a_const, iq_info); b_const_int = quantize_qasymm8_signed(b_const, iq_info); } break; case DataType::QSYMM16: { a_const_int = quantize_qsymm16(a_const, iq_info); b_const_int = quantize_qsymm16(b_const, iq_info); } break; default: break; } build_opts.add_option(("-DA_VAL=" + support::cpp11::to_string(a_const_int))); build_opts.add_option(("-DB_VAL=" + support::cpp11::to_string(b_const_int))); } else { build_opts.add_option(("-DA_VAL=" + float_to_string_with_full_precision(a_const))); build_opts.add_option(("-DB_VAL=" + float_to_string_with_full_precision(b_const))); } // Quantized value of 0 corresponds to the offset o1 build_opts.add_option(("-DCONST_0=" + (is_data_type_quantized_asymmetric(dt) ? support::cpp11::to_string(iq_info.offset) : "0"))); build_opts.add_option(("-DS1_VAL=" + float_to_string_with_full_precision(iq_info.scale))); build_opts.add_option_if(is_data_type_quantized_asymmetric(dt), "-DO1_VAL=" + support::cpp11::to_string(iq_info.offset)); // Set correct kernel name kernel_name += perform_activation_in_float ? std::string("_quant_f32") : std::string("_quant"); // Set scale and offset of the source and destination if they have different quantization info if(dst != nullptr) { const UniformQuantizationInfo oq_info = dst->quantization_info().uniform(); if(iq_info != oq_info) { build_opts.add_option(("-DS2_VAL=" + float_to_string_with_full_precision(oq_info.scale))); build_opts.add_option_if(is_data_type_quantized_asymmetric(dt), "-DO2_VAL=" + support::cpp11::to_string(oq_info.offset)); } } } else { // Set A, B constants in build options for float types build_opts.add_option(("-DA_VAL=" + float_to_string_with_full_precision(a_const))); build_opts.add_option(("-DB_VAL=" + float_to_string_with_full_precision(b_const))); } // Create kernel _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); // Configure kernel window Window win = calculate_max_window(*src, Steps(num_elems_processed_per_iteration)); ICLKernel::configure_internal(win); // Set config_id for enabling LWS tuning _config_id = "activation_layer_"; _config_id += lower_string(string_from_data_type(dt)); _config_id += "_"; _config_id += support::cpp11::to_string(src->dimension(0)); _config_id += "_"; _config_id += support::cpp11::to_string(src->dimension(1)); ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); } Status ClActivationKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const ActivationLayerInfo &act_info) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, act_info)); return Status{}; } void ClActivationKernel::run_op(ITensorPack &tensors, const Window &window, ::cl::CommandQueue &queue) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); const auto src = utils::cast::polymorphic_downcast(tensors.get_const_tensor(TensorType::ACL_SRC)); auto dst = utils::cast::polymorphic_downcast(tensors.get_tensor(TensorType::ACL_DST)); ARM_COMPUTE_ERROR_ON(_run_in_place && src != dst); Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); Window slice = collapsed.first_slice_window_3D(); do { unsigned int idx = 0; add_3D_tensor_argument(idx, src, slice); if(!_run_in_place) { add_3D_tensor_argument(idx, dst, slice); } enqueue(queue, *this, slice, lws_hint()); } while(collapsed.slide_window_slice_3D(slice)); } } // namespace kernels } // namespace opencl } // namespace arm_compute