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/*
* Copyright (c) 2017-2019 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/core/NEON/kernels/NEDepthConcatenateLayerKernel.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/IAccessWindow.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/NEON/NEAsymm.h"
#include "arm_compute/core/NEON/NEFixedPoint.h"
#include "arm_compute/core/NEON/wrapper/wrapper.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
#include <cstdint>
using namespace arm_compute;
namespace
{
template <typename T>
void depth_concat(const ITensor *in, ITensor *out, int depth_offset, const Window &window)
{
// Offset input
uint8_t *input_ptr = in->buffer() + in->info()->offset_first_element_in_bytes();
// Offset output
uint8_t *output_ptr = out->buffer() + out->info()->offset_first_element_in_bytes() + depth_offset * out->info()->strides_in_bytes()[2];
Iterator input(in, window);
Iterator output(out, window);
const DataType dt = in->info()->data_type();
const UniformQuantizationInfo input_qinfo = in->info()->quantization_info().uniform();
const UniformQuantizationInfo output_qinfo = out->info()->quantization_info().uniform();
if(dt == DataType::QASYMM8 && input_qinfo != output_qinfo)
{
execute_window_loop(window, [&](const Coordinates &)
{
const auto in_ptr = reinterpret_cast<const uint8_t *>(input_ptr + input.offset());
const auto out_ptr = reinterpret_cast<uint8_t *>(output_ptr + output.offset());
vst1q_u8(out_ptr, vquantize(vdequantize(vld1q_u8(in_ptr), input_qinfo), output_qinfo));
},
input, output);
}
else
{
execute_window_loop(window, [&](const Coordinates &)
{
const auto in_ptr = reinterpret_cast<const T *>(input_ptr + input.offset());
const auto out_ptr = reinterpret_cast<T *>(output_ptr + output.offset());
wrapper::vstore(out_ptr, wrapper::vloadq(in_ptr));
},
input, output);
}
}
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, unsigned int depth_offset, ITensorInfo *output)
{
ARM_COMPUTE_UNUSED(depth_offset);
const unsigned int num_elems_processed_per_iteration = 16 / input->element_size();
// The window needs to be based on input as we copy all the depths of input
Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
win.set(Window::DimZ, Window::Dimension(0, input->tensor_shape().z(), 1));
AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
bool window_changed = update_window_and_padding(win, input_access, output_access);
output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape()));
Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
return std::make_pair(err, win);
}
Status validate_arguments(const ITensorInfo *input, unsigned int depth_offset, const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
//Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions.
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimX) != output->dimension(Window::DimX));
ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(Window::DimY) != output->dimension(Window::DimY));
ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) + depth_offset > output->dimension(2));
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(3, input, output);
return Status{};
}
} // namespace
NEDepthConcatenateLayerKernel::NEDepthConcatenateLayerKernel()
: _func(nullptr), _input(nullptr), _output(nullptr), _depth_offset(0)
{
}
void NEDepthConcatenateLayerKernel::configure(const ITensor *input, unsigned int depth_offset, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), depth_offset, output->info()));
_func = nullptr;
_input = input;
_output = output;
_depth_offset = depth_offset;
switch(input->info()->data_type())
{
case DataType::QASYMM8:
_func = &depth_concat<uint8_t>;
break;
case DataType::F16:
_func = &depth_concat<uint16_t>;
break;
case DataType::F32:
_func = &depth_concat<uint32_t>;
break;
default:
ARM_COMPUTE_ERROR("Unsupported data type.");
}
// Configure kernel window
auto win_config = validate_and_configure_window(input->info(), depth_offset, output->info());
ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config));
INEKernel::configure(std::get<1>(win_config));
// Set output valid region
output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape()));
}
Status NEDepthConcatenateLayerKernel::validate(const arm_compute::ITensorInfo *input,
unsigned int depth_offset,
const arm_compute::ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, depth_offset, output));
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), depth_offset, output->clone().get()).first);
return Status{};
}
void NEDepthConcatenateLayerKernel::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);
ARM_COMPUTE_ERROR_ON(_func == nullptr);
(*_func)(_input, _output, _depth_offset, window);
}
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