mirror of https://github.com/google/gemma.cpp.git
101 lines
3.0 KiB
C++
101 lines
3.0 KiB
C++
// Copyright 2024 Google LLC
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// SPDX-License-Identifier: Apache-2.0
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef THIRD_PARTY_GEMMA_CPP_OPS_MATMUL_H_
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#define THIRD_PARTY_GEMMA_CPP_OPS_MATMUL_H_
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#include <stddef.h>
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#include "util/allocator.h" // RowVectorBatch
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#include "util/threading.h"
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#include "hwy/aligned_allocator.h" // IWYU pragma: export
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#include "hwy/base.h"
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#include "hwy/contrib/thread_pool/thread_pool.h" // IWYU pragma: export
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#include "hwy/per_target.h"
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namespace gcpp {
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// Bundles ptr/size/stride arguments to simplify MatMul call sites. T can be
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// const or non-const. Create via ConstMat/MutableMat.
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// TODO(rays): Replace with MatPtr and get rid of stride, which is only != cols
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// in one place.
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template <typename T>
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struct Mat {
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bool NotEmpty() const {
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return ptr != nullptr && cols != 0 && stride >= cols;
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}
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size_t Row(size_t r) const { return ofs + stride * r; }
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T* HWY_RESTRICT ptr;
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size_t cols;
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// elements between rows, which is typically the same as `cols`.
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size_t stride;
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// Offset to add to `ptr`; separate because T=NuqStream does not support
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// pointer arithmetic.
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size_t ofs;
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};
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template <typename T>
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Mat<T> MutableMat(T* HWY_RESTRICT ptr, size_t cols, size_t stride,
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size_t ofs = 0) {
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return Mat<T>{.ptr = ptr, .cols = cols, .stride = stride, .ofs = ofs};
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}
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template <typename T>
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Mat<const T> ConstMat(const T* HWY_RESTRICT ptr, size_t cols, size_t stride,
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size_t ofs = 0) {
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return Mat<const T>{.ptr = ptr, .cols = cols, .stride = stride, .ofs = ofs};
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}
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template <typename T>
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Mat<const T> ConstMat(Mat<T> mat) {
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return ConstMat(mat.ptr, mat.cols, mat.stride, mat.ofs);
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}
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template <typename T>
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Mat<T> MutableMat(T* HWY_RESTRICT ptr, size_t cols) {
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return MutableMat(ptr, cols, cols);
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}
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template <typename T>
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Mat<const T> ConstMat(const T* HWY_RESTRICT ptr, size_t cols) {
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return ConstMat(ptr, cols, cols);
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}
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// Allocations and threads, shared across MatMul calls.
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class MatMulEnv {
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public:
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MatMulEnv() : pools_(nullptr) {}
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explicit MatMulEnv(PerClusterPools& pools) : pools_(&pools) {
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const size_t num_lp = pools.NumLP();
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const size_t NF = hwy::VectorBytes() / sizeof(float);
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buf_ = RowVectorBatch<float>(num_lp, 16 * NF);
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}
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float* HWY_RESTRICT Buf(size_t lp) { return buf_.Batch(lp); }
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PerClusterPools& Pools() const { return *pools_; }
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hwy::ThreadPool& Pool() const { return pools_->Inner(0); }
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private:
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RowVectorBatch<float> buf_;
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PerClusterPools* pools_;
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};
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} // namespace gcpp
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#endif // THIRD_PARTY_GEMMA_CPP_OPS_MATMUL_H_
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