diff options
Diffstat (limited to 'src/runtime/NEON/functions/NEReductionOperation.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NEReductionOperation.cpp | 138 |
1 files changed, 64 insertions, 74 deletions
diff --git a/src/runtime/NEON/functions/NEReductionOperation.cpp b/src/runtime/NEON/functions/NEReductionOperation.cpp index 80ebe6731a..8540d750fc 100644 --- a/src/runtime/NEON/functions/NEReductionOperation.cpp +++ b/src/runtime/NEON/functions/NEReductionOperation.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017-2020 ARM Limited. + * Copyright (c) 2017-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -27,6 +27,10 @@ #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include "arm_compute/runtime/NEON/NEScheduler.h" +#include "src/common/utils/Log.h" +#include "src/core/helpers/AutoConfiguration.h" +#include "src/core/NEON/kernels/NEReductionOperationKernel.h" + namespace arm_compute { namespace @@ -39,7 +43,7 @@ namespace */ size_t reduction_window_split_dimension(unsigned int axis) { - switch(axis) + switch (axis) { case 0: return Window::DimY; @@ -53,14 +57,24 @@ size_t reduction_window_split_dimension(unsigned int axis) } } // namespace +NEReductionOperation::~NEReductionOperation() = default; + NEReductionOperation::NEReductionOperation(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_group(memory_manager), _reduction_kernel(), _fill_border_kernel(), _reshape_kernel(), _output_internal(), _window_split(0), _reduction_axis(), _is_reshape_required(false) + : _memory_group(memory_manager), + _reduction_kernel(), + _reshape(), + _output_internal(), + _window_split(0), + _reduction_axis(), + _is_reshape_required(false) { } -Status NEReductionOperation::validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op, bool keep_dims) +Status NEReductionOperation::validate( + const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op, bool keep_dims) { - ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, "Reduction axis greater than max number of dimensions"); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, + "Reduction axis greater than max number of dimensions"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis > 3, "Unsupported reduction axis"); const auto is_reshape_required = !keep_dims; @@ -69,9 +83,10 @@ Status NEReductionOperation::validate(const ITensorInfo *input, const ITensorInf TensorInfo info_before_reshape; - if(is_reshape_required) + if (is_reshape_required) { - const TensorInfo expected_output_shape = output->clone()->set_tensor_shape(arm_compute::misc::shape_calculator::compute_reduced_shape(input->tensor_shape(), axis, keep_dims)); + const TensorInfo expected_output_shape = output->clone()->set_tensor_shape( + arm_compute::misc::shape_calculator::compute_reduced_shape(input->tensor_shape(), axis, keep_dims)); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(&expected_output_shape, output); auto shape_before_reshape = input->tensor_shape(); @@ -79,113 +94,88 @@ Status NEReductionOperation::validate(const ITensorInfo *input, const ITensorInf const auto input_num_channles = input->num_channels(); const auto input_qinfo = input->quantization_info(); - const auto is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN); - const auto output_data_type = is_arg_min_max ? DataType::S32 : output->data_type(); + const auto is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN); + const auto output_data_type = is_arg_min_max ? DataType::S32 : output->data_type(); - info_before_reshape.set_data_type(output_data_type).set_tensor_shape(shape_before_reshape).set_num_channels(input_num_channles).set_quantization_info(input_qinfo); + info_before_reshape.set_data_type(output_data_type) + .set_tensor_shape(shape_before_reshape) + .set_num_channels(input_num_channles) + .set_quantization_info(input_qinfo); output_internal = &info_before_reshape; } ARM_COMPUTE_RETURN_ON_ERROR(NEReductionOperationKernel::validate(input, output_internal, axis, op)); - if(is_reshape_required) + if (is_reshape_required) { - ARM_COMPUTE_RETURN_ON_ERROR(NEReshapeLayerKernel::validate(output_internal, output)); + ARM_COMPUTE_RETURN_ON_ERROR(NEReshapeLayer::validate(output_internal, output)); } return Status{}; } -void NEReductionOperation::configure(ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op, bool keep_dims) +void NEReductionOperation::configure( + ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op, bool keep_dims) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_LOG_PARAMS(input, output, axis, op, keep_dims); _is_reshape_required = !keep_dims; auto *output_internal = output; const auto is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN); - if(_is_reshape_required) + if (_is_reshape_required) { - const auto output_internal_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(input->info()->tensor_shape(), axis); - const auto output_external_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(input->info()->tensor_shape(), axis, false); - const auto output_data_type = is_arg_min_max ? DataType::S32 : input->info()->data_type(); - const auto num_channels = input->info()->num_channels(); - const auto qinfo = input->info()->quantization_info(); - - _output_internal.allocator()->init(input->info()->clone()->set_data_type(output_data_type).set_tensor_shape(output_internal_shape).reset_padding().set_is_resizable(true).set_num_channels( - num_channels).set_quantization_info(qinfo)); + const auto output_internal_shape = + arm_compute::misc::shape_calculator::compute_reduced_shape(input->info()->tensor_shape(), axis); + const auto output_external_shape = + arm_compute::misc::shape_calculator::compute_reduced_shape(input->info()->tensor_shape(), axis, false); + const auto output_data_type = is_arg_min_max ? DataType::S32 : input->info()->data_type(); + const auto num_channels = input->info()->num_channels(); + const auto qinfo = input->info()->quantization_info(); + + _output_internal.allocator()->init(input->info() + ->clone() + ->set_data_type(output_data_type) + .set_tensor_shape(output_internal_shape) + .reset_padding() + .set_is_resizable(true) + .set_num_channels(num_channels) + .set_quantization_info(qinfo)); _memory_group.manage(&_output_internal); output_internal = &_output_internal; - auto_init_if_empty(*output->info(), input->info()->clone()->set_data_type(output_data_type).set_tensor_shape(output_external_shape).reset_padding().set_is_resizable(true)); + auto_init_if_empty(*output->info(), input->info() + ->clone() + ->set_data_type(output_data_type) + .set_tensor_shape(output_external_shape) + .reset_padding() + .set_is_resizable(true)); } ARM_COMPUTE_ERROR_THROW_ON(NEReductionOperation::validate(input->info(), output->info(), axis, op, keep_dims)); // Configure reduction kernel - _reduction_kernel.configure(input, output_internal, axis, op); + _reduction_kernel = std::make_unique<NEReductionOperationKernel>(); + _reduction_kernel->configure(input, output_internal, axis, op); _window_split = reduction_window_split_dimension(axis); _reduction_axis = axis; - if(axis == 0) + if (_is_reshape_required) { - // Configure fill border kernel - const BorderSize fill_border_size = _reduction_kernel.border_size(); - PixelValue pixelValue; - switch(op) - { - case ReductionOperation::PROD: - { - pixelValue = PixelValue(1, input->info()->data_type(), input->info()->quantization_info()); - break; - } - case ReductionOperation::MIN: - { - pixelValue = std::get<1>(get_min_max(input->info()->data_type())); - break; - } - case ReductionOperation::MAX: - { - pixelValue = std::get<0>(get_min_max(input->info()->data_type())); - break; - } - case ReductionOperation::ARG_IDX_MAX: - case ReductionOperation::ARG_IDX_MIN: - { - pixelValue = PixelValue(0, input->info()->data_type(), input->info()->quantization_info()); - break; - } - case ReductionOperation::MEAN_SUM: - case ReductionOperation::SUM_SQUARE: - case ReductionOperation::SUM: - { - pixelValue = PixelValue(static_cast<uint32_t>(0)); - break; - } - default: - ARM_COMPUTE_ERROR("Reduction Operation unsupported"); - } - _fill_border_kernel.configure(input, fill_border_size, (is_arg_min_max ? BorderMode::REPLICATE : BorderMode::CONSTANT), pixelValue); - } - - if(_is_reshape_required) - { - _reshape_kernel.configure(output_internal, output); + _reshape.configure(output_internal, output); _output_internal.allocator()->allocate(); } } void NEReductionOperation::run() { - if(_reduction_axis == 0) - { - NEScheduler::get().schedule(&_fill_border_kernel, Window::DimY); - } - NEScheduler::get().schedule(&_reduction_kernel, _window_split); - if(_is_reshape_required) + MemoryGroupResourceScope scope_mg(_memory_group); + NEScheduler::get().schedule(_reduction_kernel.get(), _window_split); + if (_is_reshape_required) { - NEScheduler::get().schedule(&_reshape_kernel, Window::DimY); + _reshape.run(); } } } // namespace arm_compute |