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Diffstat (limited to 'arm_compute/runtime/CPP/functions/CPPSplit.h')
| -rw-r--r-- | arm_compute/runtime/CPP/functions/CPPSplit.h | 197 |
1 files changed, 197 insertions, 0 deletions
diff --git a/arm_compute/runtime/CPP/functions/CPPSplit.h b/arm_compute/runtime/CPP/functions/CPPSplit.h new file mode 100644 index 0000000000..6adcbc3323 --- /dev/null +++ b/arm_compute/runtime/CPP/functions/CPPSplit.h @@ -0,0 +1,197 @@ +/* + * Copyright (c) 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. + */ +#ifndef ARM_COMPUTE_CPP_SPLIT_H +#define ARM_COMPUTE_CPP_SPLIT_H + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/utils/misc/ShapeCalculator.h" + +#include "support/ToolchainSupport.h" + +#include "arm_compute/runtime/IFunction.h" + +namespace arm_compute +{ +/** Basic function to split a tensor along a given axis */ +template <typename SliceType, typename TensorInterfaceType = ITensor> +class CPPSplit : public IFunction +{ +public: + CPPSplit() + : _outputs_vector(), _slice_functions(), _num_outputs(0) + { + } + /** Static function to check if given info will lead to a valid configuration of @ref CPPSplit + * + * @param[in] input The input tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32. + * @param[in] outputs A vector containing the output tensors' info. Data types supported: Same as @p input. + * The output tensors should match the input tensor dimensions for all shape dimensions apart + * from the split dimension + * @param[in] axis Axis on which to split the input. + * + * @return a status + */ + static Status validate(const ITensorInfo *input, const std::vector<ITensorInfo *> &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(); + auto_init_if_empty(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{}; + } + + /** Initialise the kernel's input and outputs. + * + * @param[in] input The input tensor. Data types supported: All + * @param[out] outputs A vector containing the output tensors. Data types supported: Same as @p input. + * The output tensors should match the input tensor dimensions for all shape dimensions apart + * from the split dimension. + * @param[in] axis Axis on which to split the input. + */ + void configure(const TensorInterfaceType *input, const std::vector<TensorInterfaceType *> &outputs, unsigned int axis) + { + // Create Slice functions + _num_outputs = outputs.size(); + _slice_functions.resize(_num_outputs); + + // Extract output tensor info + std::vector<ITensorInfo *> 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; + } + } + +protected: + std::vector<TensorInterfaceType *> _outputs_vector; + std::vector<SliceType> _slice_functions; + unsigned int _num_outputs; +}; + +} // namespace arm_compute +#endif /* ARM_COMPUTE_CPP_SPLIT_H */ |