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/*
* 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: All.
* @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 */
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