| /* |
| * 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)); |
| } |