/* * Copyright (c) 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/CPP/functions/CPPSplit.h" #ifdef ARM_COMPUTE_CPU_ENABLED // NEON Build is activated #include "arm_compute/runtime/NEON/functions/NESlice.h" #endif /* ARM_COMPUTE_CPU_ENABLED */ #ifdef ARM_COMPUTE_OPENCL_ENABLED // OPENCL build is activated #include "arm_compute/runtime/CL/functions/CLSlice.h" #endif /* ARM_COMPUTE_OPENCL_ENABLED */ #include "src/common/utils/Log.h" namespace arm_compute { /** Basic function to split a tensor along a given axis */ template CPPSplit::CPPSplit() : _outputs_vector(), _slice_functions(), _num_outputs(0) { } template Status CPPSplit::validate(const ITensorInfo *input, const std::vector &outputs, unsigned int axis) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); ARM_COMPUTE_RETURN_ERROR_ON(axis >= input->num_dimensions()); ARM_COMPUTE_RETURN_ERROR_ON(outputs.size() < 2); // Get output shape TensorShape output_shape{}; unsigned int total_output_shape_size = 0; // Sum the output sizes and fall back to evenly-sized splits if any are zero const bool using_split_shapes = std::none_of(outputs.begin(), outputs.end(), [&total_output_shape_size](ITensorInfo * info) { unsigned int output_shape_size = info->tensor_shape().total_size(); total_output_shape_size += output_shape_size; return output_shape_size == 0; }); if(using_split_shapes) { ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().total_size() != total_output_shape_size); } else { output_shape = arm_compute::misc::shape_calculator::compute_split_shape(input, axis, outputs.size()); ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() == 0); } // Validate output tensors unsigned int axis_offset = 0; for(const auto &output : outputs) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); if(using_split_shapes) { output_shape = output->tensor_shape(); ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() == 0); } const size_t axis_split_step = output_shape[axis]; // Start/End coordinates Coordinates start_coords; Coordinates end_coords; for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d) { end_coords.set(d, -1); } // Output auto inizialitation if not yet initialized TensorInfo tmp_output_info = *output->clone(); if(tmp_output_info.tensor_shape().total_size() == 0) { tmp_output_info = input->clone()->set_is_resizable(true).set_tensor_shape(output_shape); } // Update coordinate on axis start_coords.set(axis, axis_offset); end_coords.set(axis, axis_offset + axis_split_step); ARM_COMPUTE_RETURN_ON_ERROR(SliceType::validate(input, output, start_coords, end_coords)); axis_offset += axis_split_step; } return Status{}; } template void CPPSplit::configure(const TensorInterfaceType *input, const std::vector &outputs, unsigned int axis) { // (TensorInterfaceType*) ARM_COMPUTE_LOG_PARAMS(input, outputs, axis); // Create Slice functions _num_outputs = outputs.size(); _slice_functions.resize(_num_outputs); // Extract output tensor info std::vector outputs_info; for(auto &output : outputs) { ARM_COMPUTE_ERROR_ON_NULLPTR(output); outputs_info.emplace_back(output->info()); } // If any of the outputs have a zero size, fall-back to using evenly-sized output splits const bool outputs_have_sizes = std::none_of(outputs_info.begin(), outputs_info.end(), [](ITensorInfo * info) { return info->tensor_shape().total_size() == 0; }); // Validate ARM_COMPUTE_ERROR_THROW_ON(CPPSplit::validate(input->info(), outputs_info, axis)); unsigned int axis_offset = 0; unsigned int i = 0; for(const auto &output_info : outputs_info) { // Get output shape TensorShape output_shape = (outputs_have_sizes ? output_info->tensor_shape() : arm_compute::misc::shape_calculator::compute_split_shape(input->info(), axis, _num_outputs)); const size_t axis_split_step = output_shape[axis]; // Start/End coordinates Coordinates start_coords; Coordinates end_coords; for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d) { end_coords.set(d, -1); } // Update coordinate on axis start_coords.set(axis, axis_offset); end_coords.set(axis, axis_offset + axis_split_step); // Configure slice function _slice_functions[i].configure(input, outputs[i], start_coords, end_coords); // Set valid region from shape outputs[i]->info()->set_valid_region(ValidRegion(Coordinates(), output_shape)); // Update axis offset axis_offset += axis_split_step; ++i; } } // Instantiate CPPSplit for NESlice and CLSlice types to enable linking to the above templated CPPSplit's methods #ifdef ARM_COMPUTE_CPU_ENABLED // NEON Build is activated template class CPPSplit; #endif /* ARM_COMPUTE_CPU_ENABLED */ #ifdef ARM_COMPUTE_OPENCL_ENABLED // OPENCL build is activated template class CPPSplit; #endif /* ARM_COMPUTE_OPENCL_ENABLED */ } // namespace arm_compute