mirror of https://github.com/google/gemma.cpp.git
68 lines
2.3 KiB
C++
68 lines
2.3 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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#include "gemma/kv_cache.h"
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#include "gemma/common.h" // CallForModel
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#include "hwy/aligned_allocator.h"
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#include "hwy/base.h" // ZeroBytes
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namespace gcpp {
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namespace {
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template <class TConfig>
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struct CreateKVCache {
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KVCache operator()() const {
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KVCache kv_cache = {};
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const size_t size_cache_pos = CachePosSize<TConfig>()();
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if (size_cache_pos != 0) {
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const size_t seq_len = (TConfig::kSeqLen + kPrefillBatchSize);
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kv_cache.kv_cache = hwy::AllocateAligned<float>(seq_len * size_cache_pos);
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}
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// TODO(patrickms): Add query batching support for Griffin.
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if (TConfig::kGriffinLayers) {
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constexpr size_t kConv1dWidth = TConfig::kConv1dWidth;
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const size_t conv1d_cache_size =
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TConfig::kGriffinLayers * (kConv1dWidth == 0 ? 0 : kConv1dWidth - 1) *
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TConfig::kModelDim;
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if (conv1d_cache_size != 0) {
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kv_cache.conv1d_cache = hwy::AllocateAligned<float>(conv1d_cache_size);
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hwy::ZeroBytes(kv_cache.conv1d_cache.get(),
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conv1d_cache_size * sizeof(kv_cache.conv1d_cache[0]));
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}
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const size_t rglru_cache_size =
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TConfig::kGriffinLayers * TConfig::kModelDim;
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if (rglru_cache_size != 0) {
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kv_cache.rglru_cache = hwy::AllocateAligned<float>(rglru_cache_size);
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hwy::ZeroBytes(kv_cache.rglru_cache.get(),
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rglru_cache_size * sizeof(kv_cache.rglru_cache[0]));
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}
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} // kGriffinLayers
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return kv_cache;
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}
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};
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} // namespace
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KVCache KVCache::Create(Model model_type) {
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// TWeight=float is a placeholder and unused because CreateKVCache does not
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// use TConfig::Weight.
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return CallForModel</*TWeight=*/float, CreateKVCache>(model_type);
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}
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} // namespace gcpp
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