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/*
* Copyright (c) 2017-2020 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.
*/
#pragma once
#include <stdio.h>
#include "arm_gemm.hpp"
#include "mergeresults.hpp"
#include "transform.hpp"
#ifdef CYCLE_PROFILING
#include "profiler.hpp"
#endif
namespace arm_gemm {
// Implementation of the GemmCommon abstract class.
//
// This is implementation is for a "native" (no-transform) GEMV with a
// transposed matrix.
//
// As a native operation the source data is used in-place, so the internal
// and external operand/result types must match.
template<typename strategy, typename To, typename Tr>
class GemvNativeTransposed : public GemmCommon<To, Tr> {
typedef typename strategy::operand_type Toi;
typedef typename strategy::result_type Tri;
const unsigned int _Nsize;
const unsigned int _Ksize;
const unsigned int _nmultis;
const Activation _act;
const CPUInfo * const _ci;
unsigned int m_block=0;
unsigned int n_block=0;
public:
GemvNativeTransposed(GemvNativeTransposed &) = delete;
GemvNativeTransposed & operator= (GemvNativeTransposed &) = delete;
GemvNativeTransposed(const GemmArgs &args)
: _Nsize(args._Nsize), _Ksize(args._Ksize), _nmultis(args._nmulti), _act(args._act), _ci(args._ci) {
/* For now don't do any blocking. TODO: figure out if we should. */
m_block = _Ksize;
n_block = _Nsize;
}
// Window is number of out_width blocks times number of multis.
ndrange_t get_window_size() const override {
return { iceildiv(_Nsize, strategy::out_width()) * _nmultis, 1u, 1u, 1u, 1u, 1u };
}
// Actually execute the GEMV.
void execute_1d(unsigned int start, unsigned int end, int) {
#ifdef CYCLE_PROFILING
profiler prof;
#endif
strategy strat(_ci);
const unsigned int window_per_multi = iceildiv(_Nsize, strategy::out_width());
const unsigned int multi_0 = start / window_per_multi;
const unsigned int multi_end = end / window_per_multi;
const unsigned int n_0 = (start - (multi_0 * window_per_multi)) * strategy::out_width();
const unsigned int n_max = (end - (multi_end * window_per_multi)) * strategy::out_width();
static_assert(std::is_same<To, Toi>::value, "gemv_transposed: Operand types must be the same.");
static_assert(std::is_same<Tr, Tri>::value, "gemv_transposed: Result types must be the same.");
for (unsigned int multi=multi_0; multi<=multi_end; multi++) {
const unsigned int n_start = (multi==multi_0) ? n_0 : 0;
const unsigned int n_end = (multi==multi_end) ? n_max : _Nsize;
if (n_end <= n_start)
continue;
for (unsigned int m0=0; m0<_Ksize; m0+=m_block) {
unsigned int mmax = std::min(m0 + m_block, _Ksize);
for (unsigned int n0=n_start; n0<n_end; n0+=n_block) {
unsigned int nmax = std::min(n0 + n_block, n_end);
#ifdef CYCLE_PROFILING
auto p = prof.ScopedProfiler(PROFILE_KERNEL, (mmax-m0) * (nmax-n0));
#endif
strat.kernel(this->_Bptr + (multi * this->_B_multi_stride) + (m0 * this->_ldb) + n0,
this->_Aptr + (multi * this->_A_multi_stride) + m0,
this->_Cptr + (multi * this->_C_multi_stride) + n0,
static_cast<Tr>(0), this->_ldb, (mmax-m0), (nmax-n0));
// Handle activation separately for now
if (this->_bias) {
activator<true>(this->_Cptr + (multi * this->_C_multi_stride) + n0, 0,
this->_bias + (multi * this->_bias_multi_stride) + n0,
_act, 1, (nmax-n0));
} else {
activator<false>(this->_Cptr + (multi * this->_C_multi_stride) + n0, 0,
static_cast<const Tr *>(nullptr),
_act, 1, (nmax-n0));
}
}
}
}
}
// Execute
void execute(const ndcoord_t& work_range, const ndcoord_t& thread_locator, int threadid) override {
UNUSED(thread_locator);
const auto start = work_range.get_position(0);
const auto size = work_range.get_size(0);
const auto stop = start + size;
execute_1d(start, stop, threadid);
}
};
} // namespace arm_gemm
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