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/*
* Copyright (c) 2018-2019 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.
*/
#ifndef __ARM_COMPUTE_NEGEMMINTERLEAVEDTRANSFORMAWRAPPER_H__
#define __ARM_COMPUTE_NEGEMMINTERLEAVEDTRANSFORMAWRAPPER_H__
#include "arm_compute/core/CPP/CPPTypes.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/NEON/kernels/assembly/INEGEMMWrapperKernel.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
#include "arm_compute/core/WindowIterator.h"
namespace arm_compute
{
class ITensor;
/** Unit of work for @ref NEGEMMInterleavedTransformAWrapper to process */
struct TransformAWorkload
{
/** Constructor
*
* @param[in] k0 First value to process along the K dimension.
* @param[in] kmax Last value to process along the K dimension.
* @param[in] multi Multi index.
*/
TransformAWorkload(unsigned int k0, unsigned int kmax, unsigned int multi)
: _k0(k0), _kmax(kmax), _multi(multi)
{
}
unsigned int _k0; /**< First value to process along the K dimension. */
unsigned int _kmax; /**< Last value to process along the K dimension. */
unsigned int _multi; /**< Multi index. */
};
/** Equivalent to arm_gemm::GemmInterleaved's Transform<strategy::A_interleave, strategy::A_block but using Compute Library types.
*
* Note: Each workload converts a different slice of a and writes it to transformed_a (Which can store only one slice at the time), therefore the workloads' execution should be interleaved with other workloads that make use of their result.
*/
class NEGEMMInterleavedTransformAWrapper
{
public:
/** Transform the block at the given coordinates
*
* @param[in] wl Workload to process.
* @param[in] info Information about the current thread.
* @param[in] batch_window Window containing iteration information for the M and batch dimensions.
* @param[in] start_offset Offset relative to the beginning of batch_window to start the processing from.
* @param[in] end_offset Offset relative to the beginning of batch_window to stop the processing.
*/
virtual void transform(const TransformAWorkload &wl, const ThreadInfo &info, const Window &batch_window, const Coordinates &start_offset, const Coordinates &end_offset) = 0;
/** Generate an array of workloads
*
* @param[out] workloads Container to store the generated workloads.
*/
virtual void create_workloads(std::vector<TransformAWorkload> &workloads) = 0;
/** Default destructor */
virtual ~NEGEMMInterleavedTransformAWrapper() = default;
};
/** Type specialisations of @ref NEGEMMInterleavedTransformAWrapper */
template <typename strategy>
class NEGEMMInterleavedTransformAWrapperTemplate : public NEGEMMInterleavedTransformAWrapper
{
public:
/** Configure the reshape A routine.
*
* @param[in] a Input matrix A.
* @param[out] transformed_a Reshaped matrix A.
* @param[in] transpose_a Also transpose A ?
* @param[in] reinterpret_a_as_3d Re-interpret as 3D ?
* @param[in] block_walker Window representing the layout of the matrix's blocks
* @param[in] params M, N, K sizes.
*/
void configure(const ITensor *a, ITensor *transformed_a, bool transpose_a, bool reinterpret_a_as_3d, const Window &block_walker, const INEGEMMWrapperKernel::Params ¶ms)
{
_a = a;
_transformed_a = transformed_a;
_transpose_a = transpose_a;
_reinterpret_a_as_3d = reinterpret_a_as_3d;
_Ksize = params.K;
_Msize = params.M;
_k_multi_window = block_walker.shift_dimensions(1); // block_walker contains (M,K,Multi) --> shift by 1 to get rid of the "M" dimension
}
// Inherited methods overridden:
void transform(const TransformAWorkload &wl, const ThreadInfo &info, const Window &batch_window, const Coordinates &start_offset, const Coordinates &end_offset) override
{
strategy strat(info.cpu_info);
TensorAccessor<typename strategy::operand_type> a(*_a);
TensorAccessor<typename strategy::operand_type> transformed_a(*_transformed_a);
// Handle 3d input re-interpretation
if(_reinterpret_a_as_3d)
{
Strides a_strides_as_3d = _a->info()->strides_in_bytes();
a_strides_as_3d.remove(Window::DimZ);
a.set_strides(a_strides_as_3d);
}
unsigned int last_m = 0;
//TODO: Create a new iterate_1D( DimY);
int last_y = -1;
auto window_iterator = arm_compute::create_window_iterator(batch_window, start_offset, end_offset, [&](const Coordinates & id)
{
if(id.y() != last_y)
{
last_y = id.y();
unsigned int batch = id.y();
unsigned int first_m = id.x();
if(first_m >= last_m)
return;
strat.transforms.PrepareA(transformed_a(0, first_m, batch),
a(0, 0, batch, wl._multi),
a.stride(1), first_m, last_m, wl._k0, wl._kmax, _transpose_a);
}
});
auto on_new_row_size = [&](unsigned int, unsigned int end)
{
last_m = std::min(end, _Msize);
};
window_iterator.iterate_2D(on_new_row_size);
}
void create_workloads(std::vector<TransformAWorkload> &workloads) override
{
execute_window_loop(_k_multi_window, [&](const Coordinates & id)
{
const unsigned int k0 = id.x();
const unsigned int multi = id.y();
const unsigned int kmax = std::min(k0 + _k_multi_window.x().step(), _Ksize);
workloads.push_back(TransformAWorkload(k0, kmax, multi));
});
}
private:
const ITensor *_a
{
nullptr
};
ITensor *_transformed_a{ nullptr };
unsigned int _Msize{ 0 };
unsigned int _Ksize{ 0 };
bool _transpose_a{ false };
bool _reinterpret_a_as_3d{ false };
Window _k_multi_window{};
};
} // namespace arm_compute
#endif /* __ARM_COMPUTE_NEGEMMINTERLEAVEDTRANSFORMAWRAPPER_H__ */
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