| /* |
| * Copyright (c) 2017-2021 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/runtime/CL/functions/CLReductionOperation.h" |
| |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/PixelValue.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/runtime/CL/CLScheduler.h" |
| #include "src/core/CL/kernels/CLReductionOperationKernel.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/runtime/Utils.h" |
| |
| namespace arm_compute |
| { |
| CLReductionOperation::CLReductionOperation(std::shared_ptr<IMemoryManager> memory_manager) |
| : _memory_group(std::move(memory_manager)), _unreshaped_output(), _reduction_kernel(), _reshape(), _reduction_axis(), _is_reshape_required(false) |
| { |
| } |
| |
| CLReductionOperation::~CLReductionOperation() = default; |
| |
| Status CLReductionOperation::validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op, bool keep_dims) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| 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 bool is_reshape_required = !keep_dims; |
| |
| if(is_reshape_required && output->total_size() != 0) |
| { |
| 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 *output_internal = output; |
| |
| TensorInfo output_before_reshape; |
| const auto input_shape = input->tensor_shape(); |
| const auto input_num_channles = input->num_channels(); |
| const auto input_qinfo = input->quantization_info(); |
| const auto output_data_type = output->data_type(); |
| |
| auto initialize_tensorinfo = [](TensorInfo & ti, TensorShape shape, DataType data_type, int num_channels, QuantizationInfo qinfo) |
| { |
| ti.set_data_type(data_type).set_tensor_shape(shape).set_num_channels(num_channels).set_quantization_info(qinfo); |
| }; |
| |
| if(is_reshape_required) |
| { |
| auto shape_before_reshape = input_shape; |
| shape_before_reshape.set(axis, 1); |
| initialize_tensorinfo(output_before_reshape, shape_before_reshape, output_data_type, input_num_channles, input_qinfo); |
| output_internal = &output_before_reshape; |
| } |
| |
| ARM_COMPUTE_RETURN_ON_ERROR(CLReductionOperationKernel::validate(input, output_internal, axis, op)); |
| |
| if(is_reshape_required) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(CLReshapeLayer::validate(output_internal, output)); |
| } |
| |
| return Status{}; |
| } |
| |
| ICLTensor *CLReductionOperation::configure_intermediate_result_vector(ICLTensor *input, ICLTensor *output) |
| { |
| if(!_is_reshape_required) |
| { |
| return output; |
| } |
| |
| auto shape = input->info()->tensor_shape(); |
| shape.set(_reduction_axis, 1); |
| _unreshaped_output.allocator()->init(input->info()->clone()->set_tensor_shape(shape)); |
| return &_unreshaped_output; |
| } |
| |
| void CLReductionOperation::configure(ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, bool keep_dims) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, output, axis, op, keep_dims); |
| } |
| |
| void CLReductionOperation::configure(const CLCompileContext &compile_context, ICLTensor *input, ICLTensor *output, unsigned int axis, ReductionOperation op, bool keep_dims) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| _reduction_axis = axis; |
| _is_reshape_required = !keep_dims; |
| |
| auto *output_internal = configure_intermediate_result_vector(input, output); |
| |
| if(_is_reshape_required) |
| { |
| const TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(input->info()->tensor_shape(), axis, false); |
| const auto output_data_type = input->info()->data_type(); |
| auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape).set_data_type(output_data_type).reset_padding().set_is_resizable(true)); |
| |
| _memory_group.manage(&_unreshaped_output); |
| } |
| |
| _reduction_kernel = std::make_unique<CLReductionOperationKernel>(); |
| _reduction_kernel->configure(compile_context, input, output_internal, axis, op); |
| |
| if(_is_reshape_required) |
| { |
| _reshape.configure(compile_context, &_unreshaped_output, output); |
| _unreshaped_output.allocator()->allocate(); |
| } |
| } |
| |
| void CLReductionOperation::run() |
| { |
| MemoryGroupResourceScope scope_mg(_memory_group); |
| |
| CLScheduler::get().enqueue(*_reduction_kernel, false); |
| |
| if(_is_reshape_required) |
| { |
| _reshape.run(); |
| } |
| } |
| } // namespace arm_compute |