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Diffstat (limited to 'src/core/CL/kernels/CLActivationLayerKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLActivationLayerKernel.cpp | 283 |
1 files changed, 0 insertions, 283 deletions
diff --git a/src/core/CL/kernels/CLActivationLayerKernel.cpp b/src/core/CL/kernels/CLActivationLayerKernel.cpp deleted file mode 100644 index d40e9a15be..0000000000 --- a/src/core/CL/kernels/CLActivationLayerKernel.cpp +++ /dev/null @@ -1,283 +0,0 @@ -/* - * Copyright (c) 2016-2020 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/kernels/CLActivationLayerKernel.h" - -#include "arm_compute/core/CL/CLCoreRuntimeContext.h" -#include "arm_compute/core/CL/CLHelpers.h" -#include "arm_compute/core/CL/CLValidate.h" -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/IAccessWindow.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Window.h" -#include "arm_compute/core/utils/helpers/float_ops.h" -#include "support/StringSupport.h" - -#include <cmath> -#include <set> - -namespace arm_compute -{ -namespace -{ -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info) -{ - ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM16, DataType::F16, DataType::F32); - - static std::set<ActivationLayerInfo::ActivationFunction> 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 - }; - const DataType data_type = input->data_type(); - const QuantizationInfo &oq_info = (output != nullptr) ? output->quantization_info() : input->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 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 output is configured - if((output != nullptr) && (output->total_size() != 0)) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - } - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output) -{ - if(output != nullptr) - { - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); - // Output auto inizialitation if not yet initialized - auto_init_if_empty(*output, *input); - } - - const unsigned int num_elems_processed_per_iteration = 16 / input->element_size(); - - Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); - bool window_changed = false; - - if(output != nullptr) - { - AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); - AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); - window_changed = update_window_and_padding(win, input_access, output_access); - output_access.set_valid_region(win, input->valid_region()); - } - else - { - window_changed = update_window_and_padding(win, - AccessWindowHorizontal(input, 0, num_elems_processed_per_iteration)); - } - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} -} // namespace - -CLActivationLayerKernel::CLActivationLayerKernel() - : _input(nullptr), _output(nullptr), _run_in_place(false) -{ -} - -void CLActivationLayerKernel::configure(ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info) -{ - configure(CLKernelLibrary::get().get_compile_context(), input, output, act_info); -} - -void CLActivationLayerKernel::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, ActivationLayerInfo act_info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input); - - _run_in_place = (output == nullptr) || (output == input); - - if(output != nullptr) - { - // Output auto inizialitation if not yet initialized - auto_init_if_empty(*output->info(), - *input->info()->clone()); - } - - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (output != nullptr) ? output->info() : nullptr, act_info)); - - const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size(); - const DataType dt = input->info()->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); - - // 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))); - - std::string kernel_name = std::string("activation_layer"); - - // Set quantization info build options - if(is_quantized) - { - const UniformQuantizationInfo iq_info = input->info()->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 input and output if they have different quantization info - if(output != nullptr) - { - const UniformQuantizationInfo oq_info = output->info()->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()); - - // Make sure _kernel is initialized before calling the parent's configure - _input = input; - _output = output; - - // Configure kernel window - auto win_config = validate_and_configure_window(input->info(), (_run_in_place) ? nullptr : output->info()); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - ICLKernel::configure_internal(win_config.second); - - // 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(input->info()->dimension(0)); - _config_id += "_"; - _config_id += support::cpp11::to_string(input->info()->dimension(1)); -} - -Status CLActivationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info) -{ - const bool run_in_place = (output == nullptr) || (output == input); - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, act_info)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), (run_in_place) ? nullptr : output->clone().get()).first); - - return Status{}; -} - -void CLActivationLayerKernel::run(const Window &window, cl::CommandQueue &queue) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); - - 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, _input, slice); - if(!_run_in_place) - { - add_3D_tensor_argument(idx, _output, slice); - } - enqueue(queue, *this, slice, lws_hint()); - } - while(collapsed.slide_window_slice_3D(slice)); -} -} // namespace arm_compute |