blob: 8c0dc10ee8f7d229b1643bd7527d8ce3dd8654f6 [file] [log] [blame]
/*
* Copyright (c) 2018-2020 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.
*/
#include "src/core/NEON/kernels/NEFlattenLayerKernel.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "src/core/CPP/Validate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
namespace arm_compute
{
using namespace misc::shape_calculator;
namespace
{
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
// Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions.
// Checks performed when output is configured
if(output->total_size() != 0)
{
const TensorInfo tensor_info_output = input->clone()->set_tensor_shape(compute_flatten_shape(input));
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
}
return Status{};
}
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
{
// Output tensor auto initialization if not yet initialized
auto_init_if_empty(*output, input->clone()->set_tensor_shape(compute_flatten_shape(input)));
Window win = calculate_max_window(*input, Steps()); // Flatten does not need paddings
output->set_valid_region(ValidRegion(Coordinates(), output->tensor_shape()));
return std::make_pair(Status{}, win);
}
} // namespace
NEFlattenLayerKernel::NEFlattenLayerKernel()
: _input(nullptr), _output(nullptr)
{
}
void NEFlattenLayerKernel::configure(const ITensor *input, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info()));
_input = input;
_output = output;
// Configure kernel window
auto win_config = validate_and_configure_window(input->info(), output->info());
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
INEKernel::configure(win_config.second);
}
Status NEFlattenLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get()).first);
return Status{};
}
void NEFlattenLayerKernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
const size_t in_width = _input->info()->dimension(0);
const size_t in_height = _input->info()->dimension(1);
const size_t out_step_x = in_width * _input->info()->element_size();
const size_t out_step_y = out_step_x * in_height;
Window in_window(window);
in_window.set(Window::DimX, Window::Dimension(0, 1, 1));
Window out_window;
out_window.use_tensor_dimensions(_output->info()->tensor_shape());
out_window.set(Window::DimX, Window::Dimension(out_window.x().start(), out_window.x().end(), in_width));
Window in_slice = in_window.first_slice_window_3D();
Window out_slice = out_window.first_slice_window_1D();
do
{
Iterator in(_input, in_slice);
Iterator out(_output, out_slice);
uint8_t *out_ptr = out.ptr();
execute_window_loop(in_slice, [&](const Coordinates & id)
{
memcpy(out_ptr + id.y() * out_step_x + id.z() * out_step_y, in.ptr(), out_step_x);
},
in);
}
while(in_window.slide_window_slice_3D(in_slice) && out_window.slide_window_slice_1D(out_slice));
}
} // namespace arm_compute