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/*
* Copyright (c) 2023-2024 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.
*/
#if defined(__aarch64__)
#include "src/core/NEON/kernels/NEReorderKernel.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Validate.h"
#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/arm_gemm/transform.hpp"
namespace arm_compute
{
void NEReorderKernel::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);
switch (_input->info()->data_type())
{
case DataType::F32:
{
const int ksize_rows_elements = _xmax * _ksize;
const int jump_rows = ksize_rows_elements * window.x().start();
const int k_start = window.x().start() * _ksize;
const int k_end = std::min(window.x().end() * _ksize, _kmax);
const int stride = _kmax;
if (k_start < k_end)
{
switch (_output_wf)
{
case WeightFormat::OHWIo4:
{
switch (_output->info()->data_type())
{
case DataType::F32:
arm_gemm::Transform<4, 1, true, arm_gemm::VLType::None>(
reinterpret_cast<float *>(_output->buffer()) + jump_rows,
reinterpret_cast<float *>(_input->buffer()), stride, k_start, k_end, 0, _xmax);
break;
case DataType::BFLOAT16:
arm_gemm::Transform<4, 4, true, arm_gemm::VLType::None>(
reinterpret_cast<bfloat16 *>(_output->buffer()) + jump_rows,
reinterpret_cast<float *>(_input->buffer()), stride, k_start, k_end, 0, _xmax);
break;
default:
ARM_COMPUTE_ERROR("Unsupported data type!");
}
break;
}
#if defined(ARM_COMPUTE_ENABLE_SVE)
case WeightFormat::OHWIo8:
{
switch (_output->info()->data_type())
{
case DataType::F32:
arm_gemm::Transform<1, 1, true, arm_gemm::VLType::SVE>(
reinterpret_cast<float *>(_output->buffer()) + jump_rows,
reinterpret_cast<float *>(_input->buffer()), stride, k_start, k_end, 0, _xmax);
break;
case DataType::BFLOAT16:
arm_gemm::Transform<2, 4, true, arm_gemm::VLType::SVE>(
reinterpret_cast<bfloat16 *>(_output->buffer()) + jump_rows,
reinterpret_cast<float *>(_input->buffer()), stride, k_start, k_end, 0, _xmax);
break;
default:
ARM_COMPUTE_ERROR("Unsupported data type!");
}
break;
}
#endif /* ARM_COMPUTE_ENABLE_SVE */
default:
{
ARM_COMPUTE_ERROR("Unsupported data type!");
break;
}
}
}
break;
}
default:
ARM_COMPUTE_ERROR("Unsupported data type!");
}
}
NEReorderKernel::NEReorderKernel()
: _input(nullptr),
_output(nullptr),
_ksize(0),
_kmax(0),
_xmax(0),
_input_wf(WeightFormat::ANY),
_output_wf(WeightFormat::ANY)
{
}
void NEReorderKernel::configure(const ITensor *input,
ITensor *output,
arm_compute::WeightFormat input_wf,
arm_compute::WeightFormat output_wf)
{
ARM_COMPUTE_LOG_PARAMS(input, output, input_wf, output_wf);
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), output->info(), input_wf, output_wf));
// Set variables
_input = input;
_output = output;
_input_wf = input_wf;
_output_wf = output_wf;
// Setting parameters for transform
auto dims = input->info()->num_dimensions();
switch (dims)
{
case 2:
{
_xmax = input->info()->dimension(0); // Number of columns in input matrix
_kmax = input->info()->dimension(1); // Number of rows in input matrix
break;
}
case 4:
{
_xmax = input->info()->dimension(2); // Number of columns in input matrix
_kmax = input->info()->dimension(3); // Number of rows in input matrix
break;
}
default:
{
ARM_COMPUTE_ERROR("Only 2 or 4 dimensions supported.");
}
}
// Configure kernel window
// Window size is set by rows / _ksize
Window win;
int window_size = 0;
switch (_output_wf)
{
#if defined(ARM_COMPUTE_ENABLE_SVE)
case WeightFormat::OHWIo8:
{
_ksize = 8;
window_size = _kmax / _ksize;
break;
}
#endif /* ARM_COMPUTE_ENABLE_SVE */
case WeightFormat::OHWIo4:
{
_ksize = 4;
window_size = _kmax / _ksize;
break;
}
default:
{
ARM_COMPUTE_ERROR("Unsupported weight format.");
break;
}
}
if (_kmax % _ksize != 0)
{
window_size += 1;
}
win.set(Window::DimX, Window::Dimension(0, window_size, 1));
INEKernel::configure(win);
}
Status NEReorderKernel::validate(const ITensorInfo *input,
const ITensorInfo *output,
arm_compute::WeightFormat input_wf,
arm_compute::WeightFormat output_wf)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
if (output->tensor_shape().total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() != DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON(output->data_type() != DataType::F32 && output->data_type() != DataType::BFLOAT16);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
// Only input WeightFormat OHWI supported
ARM_COMPUTE_RETURN_ERROR_ON(input_wf != arm_compute::WeightFormat::OHWI);
int input_x_dim;
int input_k_dim;
int output_x_dim;
int output_k_dim;
auto dims = output->num_dimensions();
switch (dims)
{
case 2:
{
input_x_dim = input->dimension(0); // Number of columns in input matrix
input_k_dim = input->dimension(1); // Number of rows in input matrix
output_x_dim = output->dimension(0); // Number of columns in output matrix
output_k_dim = output->dimension(1); // Number of rows in output matrix
break;
}
case 4:
{
input_x_dim = input->dimension(2); // Number of columns in input matrix
input_k_dim = input->dimension(3); // Number of rows in input matrix
output_x_dim = output->dimension(2); // Number of columns in output matrix
output_k_dim = output->dimension(3); // Number of rows in output matrix
break;
}
default:
{
ARM_COMPUTE_RETURN_ERROR_MSG("Only 2 or 4 dimensions supported.");
}
}
int ksize;
switch (output_wf)
{
#if defined(ARM_COMPUTE_ENABLE_SVE)
case WeightFormat::OHWIo8:
{
ksize = 8;
break;
}
#endif /* ARM_COMPUTE_ENABLE_SVE */
case WeightFormat::OHWIo4:
{
ksize = 4;
break;
}
default:
{
ARM_COMPUTE_RETURN_ERROR_MSG("Unsupported weight format.");
break;
}
}
// output k_dim needs to be same as input but multiple of ksize
int32_t rnd_up_input_kdim = arm_compute::ceil_to_multiple<int32_t, int32_t>(input_k_dim, ksize);
ARM_COMPUTE_RETURN_ERROR_ON(rnd_up_input_kdim != output_k_dim);
// output x_dim needs to be same as input
ARM_COMPUTE_RETURN_ERROR_ON(input_x_dim != output_x_dim);
}
return Status{};
}
} // namespace arm_compute
#endif // defined(__aarch64__)
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