diff options
Diffstat (limited to 'src/core/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.cpp')
| -rw-r--r-- | src/core/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.cpp | 245 |
1 files changed, 0 insertions, 245 deletions
diff --git a/src/core/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.cpp b/src/core/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.cpp deleted file mode 100644 index a1f7cd7eca..0000000000 --- a/src/core/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.cpp +++ /dev/null @@ -1,245 +0,0 @@ -/* - * Copyright (c) 2017-2020 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/GLES_COMPUTE/kernels/GCBatchNormalizationLayerKernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h" -#include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h" -#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/core/Window.h" - -#include "support/StringSupport.h" - -using namespace arm_compute; - -namespace -{ -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, - const ITensorInfo *mean, const ITensorInfo *var, - const ITensorInfo *beta, const ITensorInfo *gamma, - float epsilon, ActivationLayerInfo act_info) -{ - ARM_COMPUTE_UNUSED(epsilon); - ARM_COMPUTE_UNUSED(var); - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); - - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, mean, var); - ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(mean, var); - - if(output->total_size() != 0) - { - ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output); - ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - } - - if(beta != nullptr) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, beta); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, beta); - } - if(gamma != nullptr) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, gamma); - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, gamma); - } - if(act_info.enabled()) - { - ARM_COMPUTE_ERROR_ON(input->data_type() != DataType::F32 && input->data_type() != DataType::F16); - ARM_COMPUTE_ERROR_ON(act_info.activation() != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::RELU - && act_info.activation() != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::BOUNDED_RELU - && act_info.activation() != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU); - ARM_COMPUTE_ERROR_ON(act_info.b() > act_info.a()); - } - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, - ITensorInfo *mean, ITensorInfo *var, - ITensorInfo *beta, ITensorInfo *gamma) -{ - // Output tensor auto initialization if not yet initialized - auto_init_if_empty(*output, input->tensor_shape(), 1, input->data_type()); - - unsigned int num_elems_processed_per_iteration = 1; - if(input->data_type() == DataType::F16) - { - num_elems_processed_per_iteration = 4; - } - - // Configure kernel window - Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); - - AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); - AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); - AccessWindowStatic mean_access(mean, 0, 0, mean->dimension(0) + 3, mean->dimension(1)); - AccessWindowStatic var_access(var, 0, 0, var->dimension(0) + 3, var->dimension(1)); - - bool window_changed = false; - if(beta != nullptr) - { - AccessWindowStatic beta_access(beta, 0, 0, beta->dimension(0) + 3, beta->dimension(1)); - if(gamma != nullptr) - { - AccessWindowStatic gamma_access(gamma, 0, 0, gamma->dimension(0) + 3, gamma->dimension(1)); - window_changed = update_window_and_padding(win, input_access, output_access, mean_access, var_access, beta_access, gamma_access); - } - else - { - window_changed = update_window_and_padding(win, input_access, output_access, mean_access, var_access, beta_access); - } - } - else - { - if(gamma != nullptr) - { - AccessWindowStatic gamma_access(gamma, 0, 0, gamma->dimension(0) + 3, gamma->dimension(1)); - window_changed = update_window_and_padding(win, input_access, output_access, mean_access, var_access, gamma_access); - } - else - { - window_changed = update_window_and_padding(win, input_access, output_access, mean_access, var_access); - } - } - output_access.set_valid_region(win, input->valid_region()); - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} -} // namespace - -GCBatchNormalizationLayerKernel::GCBatchNormalizationLayerKernel() - : _input(nullptr), _output(nullptr), _mean(nullptr), _var(nullptr), _beta(nullptr), _gamma(nullptr), _epsilon(0.0f) -{ -} - -void GCBatchNormalizationLayerKernel::configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *var, const IGCTensor *beta, const IGCTensor *gamma, - float epsilon, ActivationLayerInfo act_info) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, mean, var); - - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), mean->info(), var->info(), - (beta != nullptr) ? beta->info() : nullptr, (gamma != nullptr) ? gamma->info() : nullptr, - epsilon, act_info)); - - _input = input; - _output = output; - _mean = mean; - _var = var; - _beta = beta; - _gamma = gamma; - _epsilon = epsilon; - - // Set build options - std::set<std::string> build_opts; - std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16"; - build_opts.emplace(("#define " + dt_name)); - build_opts.emplace(("#define ESPILON " + float_to_string_with_full_precision(_epsilon))); - build_opts.emplace(("#define LOCAL_SIZE_X " + support::cpp11::to_string(1))); - build_opts.emplace(("#define LOCAL_SIZE_Y " + support::cpp11::to_string(1))); - build_opts.emplace(("#define LOCAL_SIZE_Z " + support::cpp11::to_string(1))); - if(beta == nullptr) - { - build_opts.emplace("#define USE_DEFAULT_BETA"); - } - if(gamma == nullptr) - { - build_opts.emplace("#define USE_DEFAULT_GAMMA"); - } - - if(act_info.enabled()) - { - build_opts.emplace("#define " + string_from_activation_func(act_info.activation())); - build_opts.emplace("#define A_VAL " + float_to_string_with_full_precision(act_info.a())); - build_opts.emplace("#define B_VAL " + float_to_string_with_full_precision(act_info.b())); - } - - // Create kernel - _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("batchnormalization_layer", build_opts)); - - // Configure kernel window - auto win_config = validate_and_configure_window(input->info(), output->info(), mean->info(), var->info(), - (beta != nullptr) ? beta->info() : nullptr, (gamma != nullptr) ? gamma->info() : nullptr); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - - IGCKernel::configure(win_config.second); -} - -Status GCBatchNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, - const ITensorInfo *mean, const ITensorInfo *var, - const ITensorInfo *beta, const ITensorInfo *gamma, - float epsilon, ActivationLayerInfo act_info) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mean, var, beta, gamma, epsilon, act_info)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), - mean->clone().get(), var->clone().get(), - beta->clone().get(), gamma->clone().get()) - .first); - - return Status{}; -} - -void GCBatchNormalizationLayerKernel::run(const Window &window) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); - - _kernel.use(); - - _output->set_needs_shifting(true); - - Window slice = window.first_slice_window_3D(); - Window slice_in = window.first_slice_window_3D(); - - Window vector_slice = window.first_slice_window_1D(); - vector_slice.set(Window::DimX, Window::Dimension(0, 0, 0)); - - unsigned int idx = 2 * num_arguments_per_3D_tensor(); - unsigned int binding_point = 3; - add_1D_tensor_argument(idx, _mean, binding_point, vector_slice); - add_1D_tensor_argument(idx, _var, ++binding_point, vector_slice); - if(_beta != nullptr) - { - add_1D_tensor_argument(idx, _beta, ++binding_point, vector_slice); - } - if(_gamma != nullptr) - { - add_1D_tensor_argument(idx, _gamma, ++binding_point, vector_slice); - } - - slice.shift(Window::DimX, -(_output->info()->padding()).left); - - do - { - idx = 0; - add_3D_tensor_argument(idx, _input, 1, slice_in); - add_3D_tensor_argument(idx, _output, 2, slice); - - _kernel.update_shader_params(); - enqueue(*this, slice); - } - while(window.slide_window_slice_3D(slice) && window.slide_window_slice_3D(slice_in)); -} |