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// Copyright 2015 The Gemmlowp Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// multi_thread_gemv.h: Entry point to the multithreaded version of the
// generated (meta) gemv library.
#ifndef GEMMLOWP_META_MULTI_THREAD_GEMV_H_
#define GEMMLOWP_META_MULTI_THREAD_GEMV_H_
#ifdef GEMMLOWP_NEON
#include "legacy_multi_thread_common.h"
#include "legacy_operations_common.h"
#include "legacy_single_thread_gemm.h"
namespace gemmlowp {
namespace meta {
namespace internal {
class GemvQuantized8BitOperation : public Quantized8BitOperation {
public:
GemvQuantized8BitOperation(std::int32_t lhs_offset, std::int32_t rhs_offset,
std::int32_t sum_offset, std::int32_t multiplier,
std::int32_t shift)
: Quantized8BitOperation(lhs_offset, rhs_offset, sum_offset, multiplier,
shift) {}
void ExecuteMatrixMatrix(std::uint8_t* scratch, const std::uint8_t* lhs,
const std::uint8_t* rhs, std::int32_t m,
std::int32_t n, std::int32_t k, std::uint8_t* result,
std::int32_t result_stride) const {
gemv_q8(scratch, lhs, rhs, n, k, lhs_offset, rhs_offset, sum_offset,
multiplier, shift, result);
}
static std::int32_t ScratchPerThread(std::int32_t m, std::int32_t n,
std::int32_t k) {
return 128 * 1024;
}
};
class GemvFloatOperation : public FloatOperation {
public:
GemvFloatOperation(std::int32_t lhs_offset, std::int32_t rhs_offset,
float result_offset)
: FloatOperation(lhs_offset, rhs_offset, result_offset) {}
void ExecuteMatrixMatrix(std::uint8_t* scratch, const std::uint8_t* lhs,
const std::uint8_t* rhs, std::int32_t m,
std::int32_t n, std::int32_t k, float* result,
std::int32_t result_stride) const {
gemv_f(scratch, lhs, rhs, n, k, lhs_offset, rhs_offset, result_offset,
result);
}
static std::int32_t ScratchPerThread(std::int32_t m, std::int32_t n,
std::int32_t k) {
return 128 * 1024;
}
};
class GemvInt32Operation : public Int32Operation {
public:
GemvInt32Operation(std::int32_t lhs_offset, std::int32_t rhs_offset)
: Int32Operation(lhs_offset, rhs_offset) {}
void ExecuteMatrixMatrix(std::uint8_t* scratch, const std::uint8_t* lhs,
const std::uint8_t* rhs, std::int32_t m,
std::int32_t n, std::int32_t k, std::int32_t* result,
std::int32_t result_stride) const {
gemv_i32(scratch, lhs, rhs, n, k, lhs_offset, rhs_offset, result);
}
static std::int32_t ScratchPerThread(std::int32_t m, std::int32_t n,
std::int32_t k) {
return 128 * 1024;
}
};
} // namespace internal
std::int32_t gemv_q8_scratch(std::int32_t m, std::int32_t n, std::int32_t k,
std::int32_t max_threads) {
return internal::ResolveMaxThreads(max_threads) *
internal::GemvQuantized8BitOperation::ScratchPerThread(m, n, k);
}
void multi_thread_gemv_q8(gemmlowp::WorkersPool* pool, std::int32_t max_threads,
std::uint8_t* scratch, const std::uint8_t* lhs,
const std::uint8_t* rhs, std::int32_t n,
std::int32_t k, std::int32_t lhs_offset,
std::int32_t rhs_offset, std::int32_t sum_offset,
std::int32_t multiplier, std::int32_t shift,
std::uint8_t* result) {
max_threads = internal::ResolveMaxThreads(max_threads);
internal::GemvQuantized8BitOperation operation(lhs_offset, rhs_offset,
sum_offset, multiplier, shift);
if (max_threads == 1) {
operation.ExecuteMatrixMatrix(scratch, lhs, rhs, 1, n, k, result, n);
} else {
internal::MultiThreadedMatrixMatrix(pool, max_threads, scratch, lhs, rhs, 1,
n, k, result, n, operation);
}
}
std::int32_t gemv_f_scratch(std::int32_t m, std::int32_t n, std::int32_t k,
std::int32_t max_threads) {
return internal::ResolveMaxThreads(max_threads) *
internal::GemvFloatOperation::ScratchPerThread(m, n, k);
}
void multi_thread_gemv_f(gemmlowp::WorkersPool* pool, std::int32_t max_threads,
std::uint8_t* scratch, const std::uint8_t* lhs,
const std::uint8_t* rhs, std::int32_t n,
std::int32_t k, std::int32_t lhs_offset,
std::int32_t rhs_offset, float result_offset,
float* result) {
max_threads = internal::ResolveMaxThreads(max_threads);
internal::GemvFloatOperation operation(lhs_offset, rhs_offset, result_offset);
if (max_threads == 1) {
operation.ExecuteMatrixMatrix(scratch, lhs, rhs, 1, n, k, result, n);
} else {
internal::MultiThreadedMatrixMatrix(pool, max_threads, scratch, lhs, rhs, 1,
n, k, result, n, operation);
}
}
std::int32_t gemv_i32_scratch(std::int32_t m, std::int32_t n, std::int32_t k,
std::int32_t max_threads) {
return internal::ResolveMaxThreads(max_threads) *
internal::GemvInt32Operation::ScratchPerThread(m, n, k);
}
void multi_thread_gemv_i32(gemmlowp::WorkersPool* pool,
std::int32_t max_threads, std::uint8_t* scratch,
const std::uint8_t* lhs, const std::uint8_t* rhs,
std::int32_t n, std::int32_t k,
std::int32_t lhs_offset, std::int32_t rhs_offset,
std::int32_t* result) {
max_threads = internal::ResolveMaxThreads(max_threads);
internal::GemvInt32Operation operation(lhs_offset, rhs_offset);
if (max_threads == 1) {
operation.ExecuteMatrixMatrix(scratch, lhs, rhs, 1, n, k, result, n);
} else {
internal::MultiThreadedMatrixMatrix(pool, max_threads, scratch, lhs, rhs, 1,
n, k, result, n, operation);
}
}
} // namespace meta
} // namespace gemmlowp
#else
#warning "Meta gemm fast-path requires GEMMLOWP_NEON_(32|64)!"
#endif
#endif // GEMMLOWP_META_MULTI_THREAD_GEMV_H_
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