diff options
Diffstat (limited to 'src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp | 129 |
1 files changed, 85 insertions, 44 deletions
diff --git a/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp b/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp index 44bdc6f587..c88a852a44 100644 --- a/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp +++ b/src/core/CL/kernels/CLBatchNormalizationLayerKernel.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 Arm Limited. + * Copyright (c) 2017-2021, 2023 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -29,49 +29,58 @@ #include "arm_compute/core/Helpers.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Utils.h" +#include "arm_compute/core/utils/ActivationFunctionUtils.h" +#include "arm_compute/core/utils/helpers/AdjustVecSize.h" +#include "arm_compute/core/utils/StringUtils.h" + #include "src/core/CL/CLValidate.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.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) +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_RETURN_ERROR_ON_F16_UNSUPPORTED(input); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, var); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, mean, var); - ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL)) != mean->dimension(0)); - if(beta != nullptr) + ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(get_data_layout_dimension_index( + input->data_layout(), DataLayoutDimension::CHANNEL)) != mean->dimension(0)); + 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) + 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()) + if (act_info.enabled()) { ActivationLayerInfo::ActivationFunction act = act_info.activation(); ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() != DataType::F32 && input->data_type() != DataType::F16); - ARM_COMPUTE_RETURN_ERROR_ON(act != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::RELU - && act != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::BOUNDED_RELU - && act != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU); + ARM_COMPUTE_RETURN_ERROR_ON(act != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::RELU && + act != ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::BOUNDED_RELU && + act != + ActivationLayerInfo::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU); ARM_COMPUTE_RETURN_ERROR_ON(act_info.b() > act_info.a()); } - if(output != nullptr && output->total_size() != 0) + if (output != nullptr && output->total_size() != 0) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); @@ -83,14 +92,15 @@ Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, std::pair<Status, Window> validate_and_configure_window_nchw(ITensorInfo *input, ITensorInfo *output) { - const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / input->element_size(), input->dimension(0)); + const unsigned int num_elems_processed_per_iteration = + adjust_vec_size(16 / input->element_size(), input->dimension(0)); // 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); bool window_changed = false; - if(output != nullptr) + if (output != nullptr) { AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); window_changed = update_window_and_padding(win, input_access, output_access); @@ -101,29 +111,50 @@ std::pair<Status, Window> validate_and_configure_window_nchw(ITensorInfo *input, window_changed = update_window_and_padding(win, input_access); } - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; + Status err = + (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; return std::make_pair(err, win); } } // namespace CLBatchNormalizationLayerKernel::CLBatchNormalizationLayerKernel() - : _input(nullptr), _output(nullptr), _mean(nullptr), _var(nullptr), _beta(nullptr), _gamma(nullptr), _epsilon(0), _run_in_place(false) + : _input(nullptr), + _output(nullptr), + _mean(nullptr), + _var(nullptr), + _beta(nullptr), + _gamma(nullptr), + _epsilon(0), + _run_in_place(false) { + _type = CLKernelType::ELEMENTWISE; } -void CLBatchNormalizationLayerKernel::configure(ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *var, const ICLTensor *beta, const ICLTensor *gamma, - float epsilon, ActivationLayerInfo act_info) +void CLBatchNormalizationLayerKernel::configure(ICLTensor *input, + ICLTensor *output, + const ICLTensor *mean, + const ICLTensor *var, + const ICLTensor *beta, + const ICLTensor *gamma, + float epsilon, + ActivationLayerInfo act_info) { configure(CLKernelLibrary::get().get_compile_context(), input, output, mean, var, beta, gamma, epsilon, act_info); } -void CLBatchNormalizationLayerKernel::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *var, const ICLTensor *beta, - const ICLTensor *gamma, - float epsilon, ActivationLayerInfo act_info) +void CLBatchNormalizationLayerKernel::configure(const CLCompileContext &compile_context, + ICLTensor *input, + ICLTensor *output, + const ICLTensor *mean, + const ICLTensor *var, + const ICLTensor *beta, + const ICLTensor *gamma, + float epsilon, + ActivationLayerInfo act_info) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, mean, var); - auto padding_info = get_padding_info({ input, output, mean, var, beta, gamma }); + auto padding_info = get_padding_info({input, output, mean, var, beta, gamma}); _input = input; _output = output; _mean = mean; @@ -138,13 +169,15 @@ void CLBatchNormalizationLayerKernel::configure(const CLCompileContext &compile_ mean->info(), var->info(), (beta != nullptr) ? beta->info() : nullptr, (gamma != nullptr) ? gamma->info() : nullptr, epsilon, act_info)); - unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / input->info()->element_size(), input->info()->dimension(0)); + unsigned int num_elems_processed_per_iteration = + adjust_vec_size(16 / input->info()->element_size(), input->info()->dimension(0)); // Set build options CLBuildOptions build_opts; build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); 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(input->info()->dimension(0) % num_elems_processed_per_iteration)); + build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + + support::cpp11::to_string(input->info()->dimension(0) % num_elems_processed_per_iteration)); build_opts.add_option("-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(act_info.activation()))); build_opts.add_option_if(act_info.enabled(), "-DA_VAL=" + float_to_string_with_full_precision(act_info.a())); build_opts.add_option_if(act_info.enabled(), "-DB_VAL=" + float_to_string_with_full_precision(act_info.b())); @@ -153,29 +186,33 @@ void CLBatchNormalizationLayerKernel::configure(const CLCompileContext &compile_ build_opts.add_option_if(gamma == nullptr, "-DUSE_DEFAULT_GAMMA"); // Create kernel - _kernel = create_kernel(compile_context, "batchnormalization_layer_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options()); + _kernel = + create_kernel(compile_context, + "batchnormalization_layer_" + lower_string(string_from_data_layout(input->info()->data_layout())), + build_opts.options()); // Set kernel static arguments unsigned int include_output = (!_run_in_place) ? 1 : 0; - unsigned int idx = (1 + include_output) * num_arguments_per_3D_tensor() + 2 * num_arguments_per_1D_tensor(); // Skip the input and output parameters - if(_beta != nullptr) + unsigned int idx = (1 + include_output) * num_arguments_per_3D_tensor() + + 2 * num_arguments_per_1D_tensor(); // Skip the input and output parameters + if (_beta != nullptr) { idx += num_arguments_per_1D_tensor(); // Skip beta parameter } - if(_gamma != nullptr) + if (_gamma != nullptr) { idx += num_arguments_per_1D_tensor(); // Skip gamma parameter } _kernel.setArg<cl_float>(idx++, _epsilon); - if(output != nullptr) + if (output != nullptr) { // Output tensor auto initialization if not yet initialized auto_init_if_empty(*output->info(), *input->info()->clone()); } // Configure kernel window - if(input->info()->data_layout() == DataLayout::NHWC) + if (input->info()->data_layout() == DataLayout::NHWC) { Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); ICLKernel::configure_internal(win); @@ -201,18 +238,23 @@ void CLBatchNormalizationLayerKernel::configure(const CLCompileContext &compile_ _config_id += lower_string(string_from_data_layout(input->info()->data_layout())); } -Status CLBatchNormalizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, - const ITensorInfo *mean, const ITensorInfo *var, - const ITensorInfo *beta, const ITensorInfo *gamma, - float epsilon, ActivationLayerInfo act_info) +Status CLBatchNormalizationLayerKernel::validate(const ITensorInfo *input, + const ITensorInfo *output, + const ITensorInfo *mean, + const ITensorInfo *var, + const ITensorInfo *beta, + const ITensorInfo *gamma, + float epsilon, + ActivationLayerInfo act_info) { const bool run_in_place = (output == nullptr) || (output == input); ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mean, var, beta, gamma, epsilon, act_info)); - if(input->data_layout() != DataLayout::NHWC) + if (input->data_layout() != DataLayout::NHWC) { - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_nchw(input->clone().get(), (run_in_place) ? nullptr : output->clone().get()) - .first); + ARM_COMPUTE_RETURN_ON_ERROR( + validate_and_configure_window_nchw(input->clone().get(), (run_in_place) ? nullptr : output->clone().get()) + .first); } return Status{}; @@ -232,11 +274,11 @@ void CLBatchNormalizationLayerKernel::run(const Window &window, cl::CommandQueue unsigned int idx = (1 + include_output) * num_arguments_per_3D_tensor(); add_1D_tensor_argument(idx, _mean, vector_slice); add_1D_tensor_argument(idx, _var, vector_slice); - if(_beta != nullptr) + if (_beta != nullptr) { add_1D_tensor_argument(idx, _beta, vector_slice); } - if(_gamma != nullptr) + if (_gamma != nullptr) { add_1D_tensor_argument(idx, _gamma, vector_slice); } @@ -245,11 +287,10 @@ void CLBatchNormalizationLayerKernel::run(const Window &window, cl::CommandQueue { idx = 0; add_3D_tensor_argument(idx, _input, slice); - if(!_run_in_place) + if (!_run_in_place) { add_3D_tensor_argument(idx, _output, slice); } enqueue(queue, *this, slice, lws_hint()); - } - while(window.slide_window_slice_3D(slice)); + } while (window.slide_window_slice_3D(slice)); } |