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/*
* Copyright (c) 2018-2020 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 <cstring>
#include <memory>
#include "arm_gemm_local.hpp"
#include "gemm_common.hpp"
namespace arm_gemm
{
enum class GemmMethod
{
DEFAULT,
GEMV_BATCHED,
GEMV_PRETRANSPOSED,
GEMV_NATIVE_TRANSPOSED,
GEMM_NATIVE,
GEMM_HYBRID,
GEMM_INTERLEAVED,
GEMM_INTERLEAVED_2D,
QUANTIZE_WRAPPER,
QUANTIZE_WRAPPER_2D,
GEMM_HYBRID_QUANTIZED
};
struct KernelDescription
{
GemmMethod method = GemmMethod::DEFAULT;
std::string name = "";
bool is_default = false;
KernelDescription(GemmMethod m, std::string n, bool d = false)
: method(m), name(n), is_default(d)
{
}
KernelDescription() noexcept
{
}
};
struct GemmConfig
{
GemmMethod method = GemmMethod::DEFAULT;
std::string filter = "";
unsigned int inner_block_size = 0;
unsigned int outer_block_size = 0;
GemmConfig(GemmMethod method)
: method(method)
{
}
GemmConfig()
{
}
};
struct Activation
{
enum class Type
{
None,
ReLU,
BoundedReLU
};
Type type;
float param1;
float param2;
Activation(Type type = Type::None, float p1 = 0.0f, float p2 = 0.0f)
: type(type), param1(p1), param2(p2)
{
}
};
struct GemmArgs
{
public:
const CPUInfo *_ci;
unsigned int _Msize;
unsigned int _Nsize;
unsigned int _Ksize;
unsigned int _nbatches;
unsigned int _nmulti;
Activation _act;
int _maxthreads;
const GemmConfig *_cfg;
GemmArgs(const CPUInfo *ci, const unsigned int M, const unsigned int N,
const unsigned int K, const unsigned int nbatches,
const unsigned int nmulti, Activation act, const int maxthreads,
const GemmConfig *cfg = nullptr)
: _ci(ci), _Msize(M), _Nsize(N), _Ksize(K), _nbatches(nbatches), _nmulti(nmulti), _act(act), _maxthreads(maxthreads), _cfg(cfg)
{
}
};
struct Requantize32
{
public:
const int32_t *bias = nullptr;
size_t bias_multi_stride = 0;
int32_t a_offset = 0;
int32_t b_offset = 0;
int32_t c_offset = 0;
bool per_channel_requant = false;
int32_t per_layer_shift = 0;
int32_t per_layer_mul = 0;
const int32_t *per_channel_shifts = nullptr;
const int32_t *per_channel_muls = nullptr;
int32_t minval = 0;
int32_t maxval = 0;
Requantize32() = default;
// Constructor for per-tensor quantization
Requantize32(const int32_t *bias, size_t bias_multi_stride,
int32_t a_offset, int32_t b_offset, int32_t c_offset,
int32_t requant_shift, int32_t requant_mul,
int32_t minv, int32_t maxv)
: bias(bias), bias_multi_stride(bias_multi_stride), a_offset(a_offset), b_offset(b_offset), c_offset(c_offset), per_channel_requant(false), per_layer_shift(requant_shift), per_layer_mul(requant_mul),
minval(minv), maxval(maxv)
{
}
// Constructor for per-channel quantization
Requantize32(const int32_t *bias, size_t bias_multi_stride,
int32_t a_offset, int32_t b_offset, int32_t c_offset,
const int32_t *requant_shifts, const int32_t *requant_muls,
int32_t minv, int32_t maxv)
: bias(bias), bias_multi_stride(bias_multi_stride), a_offset(a_offset), b_offset(b_offset), c_offset(c_offset), per_channel_requant(true), per_channel_shifts(requant_shifts),
per_channel_muls(requant_muls), minval(minv), maxval(maxv)
{
}
};
struct Nothing
{
};
template <typename Top, typename Tret>
using UniqueGemmCommon = std::unique_ptr<GemmCommon<Top, Tret>>;
/* Low level API calls.
* These are implemented as 'GemmArgs' versions, or with the arguments explicitly listed. */
/* get_gemm_method(): Given the templated types and provided parameters,
* which is the preferred method to implement this GEMM? */
template <typename Top, typename Tret, class OutputStage = Nothing>
KernelDescription get_gemm_method(const GemmArgs &args, const OutputStage & = {});
template <typename Top, typename Tret, class OutputStage = Nothing>
UniqueGemmCommon<Top, Tret> gemm(const GemmArgs &args, const OutputStage & = {});
template <typename Top, typename Tret, class OutputStage = Nothing>
std::vector<KernelDescription> get_compatible_kernels(const GemmArgs &args, const OutputStage & = {});
} // namespace arm_gemm
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