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/*
* Copyright (c) 2018-2021, 2023 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/cpu/kernels/CpuConcatenateWidthKernel.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Steps.h"
#include "arm_compute/core/Validate.h"
#include "src/core/helpers/WindowHelpers.h"
#include "src/core/NEON/NEAsymm.h"
namespace arm_compute
{
namespace cpu
{
namespace kernels
{
namespace
{
Status validate_arguments(const ITensorInfo *src, unsigned int width_offset, const ITensorInfo *dst)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
// Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use CPU FP16 instructions.
ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(0) + width_offset > dst->dimension(0));
for (size_t i = 1; i < Coordinates::num_max_dimensions; ++i)
{
ARM_COMPUTE_RETURN_ERROR_ON(src->dimension(i) != dst->dimension(i));
}
return Status{};
}
} // namespace
void CpuConcatenateWidthKernel::configure(const ITensorInfo *src, unsigned int width_offset, ITensorInfo *dst)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, width_offset, dst));
ARM_COMPUTE_UNUSED(dst);
_width_offset = width_offset;
// Configure kernel window
Window win = calculate_max_window(*src, Steps());
ICpuKernel::configure(win);
}
Status CpuConcatenateWidthKernel::validate(const ITensorInfo *src, unsigned int width_offset, const ITensorInfo *dst)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, width_offset, dst));
return Status{};
}
void CpuConcatenateWidthKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window);
const auto src = tensors.get_const_tensor(TensorType::ACL_SRC);
auto dst = tensors.get_tensor(TensorType::ACL_DST);
// Offset output pointer to the correct position
uint8_t *dst_ptr = dst->buffer() + dst->info()->offset_first_element_in_bytes() +
_width_offset * dst->info()->strides_in_bytes()[0];
const auto window_start_x = static_cast<int>(window.x().start());
const auto window_end_x = static_cast<int>(window.x().end()) * static_cast<int>(dst->info()->element_size());
constexpr int window_step_x = 16;
Window win{window};
win.set(Window::DimX, Window::Dimension(0, 1, 1));
// Create iterators
Iterator src_it(src, win);
Iterator dst_it(dst, win);
const DataType dt = src->info()->data_type();
const UniformQuantizationInfo &src_qinfo = src->info()->quantization_info().uniform();
const UniformQuantizationInfo &dst_qinfo = dst->info()->quantization_info().uniform();
if (dt == DataType::QASYMM8 && src_qinfo != dst_qinfo)
{
execute_window_loop(
win,
[&](const Coordinates &)
{
int x = window_start_x;
for (; x <= (window_end_x - window_step_x); x += window_step_x)
{
vst1q_u8(dst_ptr + dst_it.offset() + x,
vquantize(vdequantize(vld1q_u8(src_it.ptr() + x), src_qinfo), dst_qinfo));
}
// Compute left-over elements
for (; x < window_end_x; ++x)
{
*(dst_ptr + dst_it.offset() + x) =
quantize_qasymm8(dequantize_qasymm8(*(src_it.ptr() + x), src_qinfo), dst_qinfo);
}
},
src_it, dst_it);
}
else if (dt == DataType::QASYMM8_SIGNED && src_qinfo != dst_qinfo)
{
execute_window_loop(
win,
[&](const Coordinates &)
{
int x = window_start_x;
for (; x <= (window_end_x - window_step_x); x += window_step_x)
{
vst1q_s8(
reinterpret_cast<int8_t *>(dst_ptr + dst_it.offset() + x),
vquantize_signed(vdequantize(vld1q_s8(reinterpret_cast<int8_t *>(src_it.ptr() + x)), src_qinfo),
dst_qinfo));
}
// Compute left-over elements
for (; x < window_end_x; ++x)
{
*(dst_ptr + dst_it.offset() + x) =
quantize_qasymm8_signed(dequantize_qasymm8_signed(*(src_it.ptr() + x), src_qinfo), dst_qinfo);
}
},
src_it, dst_it);
}
else
{
execute_window_loop(
win,
[&](const Coordinates &)
{
const auto in_ptr = src_it.ptr();
const auto out_ptr = dst_ptr + dst_it.offset();
int x = window_start_x;
for (; x <= (window_end_x - window_step_x); x += window_step_x)
{
wrapper::vstore(out_ptr + x, wrapper::vloadq(in_ptr + x));
}
// Compute left-over elements
for (; x < window_end_x; ++x)
{
*(out_ptr + x) = *(in_ptr + x);
}
},
src_it, dst_it);
}
}
const char *CpuConcatenateWidthKernel::name() const
{
return "CpuConcatenateWidthKernel";
}
} // namespace kernels
} // namespace cpu
} // namespace arm_compute