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/*
* Copyright (c) 2017-2018 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/arm64/NEGEMMLowpAArch64V8P4Kernel.h"
#include "arm_compute/core/AccessWindowStatic.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/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
#include "support/ToolchainSupport.h"
namespace arm_compute
{
#include "arm_compute/core/NEON/kernels/assembly/gemm_interleaved.hpp"
#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_s8_12x8.hpp"
#include "arm_compute/core/NEON/kernels/assembly/kernels/a64_gemm_u8_12x8.hpp"
} // namespace arm_compute
#include <arm_neon.h>
#include <cstddef>
#include <cstdint>
// Enable only if compiled for AArch64-V8.2-A targets
#ifdef ARM_COMPUTE_AARCH64_V8_2
namespace
{
using namespace arm_compute;
Status validate_arguments(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::QASYMM8, DataType::U8, DataType::S8);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S32);
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input1);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1);
return Status{};
}
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input0, ITensorInfo *input1, ITensorInfo *output)
{
// Configure kernel window
Window win = calculate_max_window(*output);
AccessWindowRectangle output_access(output, 0, 0, 12, 8);
const int input0_access_end = ceil_to_multiple(input0->tensor_shape().x(), 8);
const int input1_access_end = ceil_to_multiple(input1->tensor_shape().x(), 12);
bool window_changed = update_window_and_padding(win,
AccessWindowStatic(input0, 0, 0, input0_access_end, input0->tensor_shape().y()),
AccessWindowStatic(input1, 0, 0, input1_access_end, input1->tensor_shape().y()),
output_access);
Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{};
return std::make_pair(err, win);
}
template <typename strategy, typename To, typename Tr>
void *align_workspace(GemmInterleaved<strategy, To, Tr> &gemm, const ThreadInfo &info, ITensor *ws)
{
constexpr size_t alignment = 4096;
const size_t offset = (gemm.get_working_size() + alignment - 1) * info.thread_id;
void *workspace = ws->buffer() + offset;
size_t workspace_size = ws->info()->total_size();
if(support::cpp11::align(alignment, gemm.get_working_size(), workspace, workspace_size) == nullptr)
{
ARM_COMPUTE_ERROR("Not enough space to align buffer!");
}
return workspace;
}
template <typename strategy>
void execute_gemm(const Window &win, Iterator &in0, Iterator &in1, Iterator &out,
const ThreadInfo &info, ITensor *ws, int M, int N, int K, bool is_transposed_0, bool is_transposed_1,
int lda, int ldb, int ldc, float alpha, float beta)
{
ARM_COMPUTE_UNUSED(M);
ARM_COMPUTE_UNUSED(N);
ARM_COMPUTE_UNUSED(K);
ARM_COMPUTE_UNUSED(is_transposed_0);
ARM_COMPUTE_UNUSED(is_transposed_1);
GemmInterleaved<strategy, typename strategy::operand_type, typename strategy::result_type> gemm(&info.cpu_info, M, N, K, is_transposed_0, is_transposed_1);
void *workspace = align_workspace(gemm, info, ws);
execute_window_loop(win, [&](const Coordinates & id)
{
gemm.execute(reinterpret_cast<const typename strategy::operand_type *>(in0.ptr()), lda,
reinterpret_cast<const typename strategy::operand_type *>(in1.ptr()), ldb,
reinterpret_cast<typename strategy::result_type *>(out.ptr()), ldc,
alpha, beta, workspace);
},
in0, out);
}
} // namespace
namespace arm_compute
{
void NEGEMMLowpAArch64V8P4Kernel::internal_configure(const ITensor *input0, const ITensor *input1, ITensor *output, ITensor *workspace, float alpha, float beta, bool is_transposed_0,
bool is_transposed_1)
{
// Perform validate step
ARM_COMPUTE_ERROR_ON_NULLPTR(input0, input1, output);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input0->info(), input1->info(), output->info()));
_input0 = input0;
_input1 = input1;
_output = output;
_workspace = workspace;
_alpha = alpha;
_beta = beta;
_is_transposed_0 = is_transposed_0;
_is_transposed_1 = is_transposed_1;
// Configure kernel window
auto win_config = validate_and_configure_window(input0->info(), input1->info(), output->info());
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
INEKernel::configure(win_config.second);
}
Status NEGEMMLowpAArch64V8P4Kernel::validate(const ITensorInfo *input0, const ITensorInfo *input1, const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input0, input1, output));
ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input0->clone().get(), input1->clone().get(), output->clone().get()).first);
return Status{};
}
void NEGEMMLowpAArch64V8P4Kernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
const int lda = _input0->info()->strides_in_bytes().y();
const int ldb = _input1->info()->strides_in_bytes().y();
const int ldc = _output->info()->strides_in_bytes().y() / sizeof(uint32_t);
const int M = std::min(_output->info()->tensor_shape().y(), static_cast<size_t>(window.y().end())) - window.y().start();
const int N = _output->info()->tensor_shape().x();
const int K = _input0->info()->tensor_shape().x();
// Only iterate over batches
Window win(window);
win.set(0, Window::Dimension(0, 1, 1));
win.set(1, Window::Dimension(0, 1, 1));
Iterator in0(_input0, window);
Iterator in1(_input1, window);
Iterator out(_output, window);
switch(_input0->info()->data_type())
{
case DataType::QASYMM8:
case DataType::U8:
{
execute_gemm<gemm_u8_12x8>(win, in0, in1, out, info, _workspace, M, N, K, _is_transposed_0, _is_transposed_1, lda, ldb, ldc, _alpha, _beta);
break;
}
case DataType::S8:
{
execute_gemm<gemm_s8_12x8>(win, in0, in1, out, info, _workspace, M, N, K, _is_transposed_0, _is_transposed_1, lda, ldb, ldc, _alpha, _beta);
break;
}
default:
{
ARM_COMPUTE_ERROR("Not supported.");
break;
}
}
}
} // namespace arm_compute
#endif /* ARM_COMPUTE_AARCH64_V8_2 */
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