| /* |
| * Copyright (c) 2016-2018 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/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/CLValidate.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/FixedPoint.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/IAccessWindow.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Window.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/Types.h" |
| #include "support/ToolchainSupport.h" |
| |
| #include <cmath> |
| |
| using 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::QS8, DataType::QS16, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG((input->data_type() == DataType::QASYMM8) && (act_info.activation() != ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU) |
| && (act_info.activation() != ActivationLayerInfo::ActivationFunction::BOUNDED_RELU) |
| && (act_info.activation() != ActivationLayerInfo::ActivationFunction::RELU), |
| "For QASYMM8 only relu, lower bounded relu and lower-upper bounded relu are supported"); |
| |
| // 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); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_FIXED_POINT(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) |
| { |
| 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(); |
| const int fixed_point_position = input->info()->fixed_point_position(); |
| float a_const = act_info.a(); |
| float b_const = act_info.b(); |
| int a_const_int = 0; |
| int b_const_int = 0; |
| |
| // Create quantized version of constants a, b if needed |
| if(is_data_type_quantized(dt)) |
| { |
| if(is_data_type_fixed_point(dt)) |
| { |
| a_const_int = static_cast<int>(lround(a_const * (1 << fixed_point_position))); |
| b_const_int = static_cast<int>(lround(b_const * (1 << fixed_point_position))); |
| } |
| else |
| { |
| a_const_int = input->info()->quantization_info().quantize(a_const, RoundingPolicy::TO_NEAREST_UP); |
| b_const_int = input->info()->quantization_info().quantize(b_const, RoundingPolicy::TO_NEAREST_UP); |
| } |
| } |
| |
| // Set build options |
| std::set<std::string> build_opts; |
| build_opts.emplace(("-DACT=" + lower_string(string_from_activation_func(act_info.activation())))); |
| build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(dt))); |
| build_opts.emplace(("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration))); |
| |
| if(is_data_type_quantized(dt)) |
| { |
| build_opts.emplace(("-DA_VAL=" + support::cpp11::to_string(a_const_int))); |
| build_opts.emplace(("-DB_VAL=" + support::cpp11::to_string(b_const_int))); |
| |
| const int o1 = input->info()->quantization_info().offset; |
| // Quantized value of 0 corresponds to the offset o1 |
| build_opts.emplace(("-DCONST_0=" + support::cpp11::to_string(o1))); |
| |
| // Set scale and offset of the input and output if they have different quantization info |
| if(is_data_type_quantized_asymmetric(dt) && output != nullptr) |
| { |
| const float s1 = input->info()->quantization_info().scale; |
| const float s2 = output->info()->quantization_info().scale; |
| const int o2 = output->info()->quantization_info().offset; |
| |
| if(o1 != o2 || s1 != s2) |
| { |
| build_opts.emplace(("-DS1_VAL=" + float_to_string_with_full_precision(s1))); |
| build_opts.emplace(("-DS2_VAL=" + float_to_string_with_full_precision(s2))); |
| build_opts.emplace(("-DO1_VAL=" + support::cpp11::to_string(o1))); |
| build_opts.emplace(("-DO2_VAL=" + support::cpp11::to_string(o2))); |
| } |
| } |
| } |
| else |
| { |
| build_opts.emplace(("-DA_VAL=" + float_to_string_with_full_precision(a_const))); |
| build_opts.emplace(("-DB_VAL=" + float_to_string_with_full_precision(b_const))); |
| } |
| |
| build_opts.emplace((_run_in_place) ? "-DIN_PLACE" : ""); |
| if(is_data_type_fixed_point(dt)) |
| { |
| build_opts.emplace(("-DFIXED_POINT_POSITION=" + support::cpp11::to_string(fixed_point_position))); |
| } |
| |
| // Create kernel |
| std::string kernel_name = is_data_type_quantized_asymmetric(dt) ? std::string("activation_layer_qa8") : std::string("activation_layer"); |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts)); |
| |
| // 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(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)); |
| } |