mirror of https://github.com/google/gemma.cpp.git
86 lines
2.9 KiB
C++
86 lines
2.9 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 <stddef.h>
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#include "gemma/configs.h"
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#include "gemma/gemma_args.h"
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#include "util/mat.h" // ZeroInit
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#include "hwy/base.h" // HWY_MAX
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namespace gcpp {
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void KVCache::ZeroGriffinCache() {
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if (conv1d_cache.Rows() == 0) return;
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ZeroInit(conv1d_cache);
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ZeroInit(rglru_cache);
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}
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static size_t GriffinLayers(const ModelConfig& config) {
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return config.NumLayersOfType(LayerAttentionType::kGriffinRecurrentBlock);
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}
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static size_t GriffinConv1dCols(const ModelConfig& config) {
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size_t conv1d_width = 0;
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for (const auto& layer_config : config.layer_configs) {
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conv1d_width = HWY_MAX(conv1d_width, layer_config.conv1d_width);
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}
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// The row offset, in blocks of model_dim is computed mod (conv1d_width - 1),
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// hence allocate conv1d_width * model_dim total columns.
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return conv1d_width * config.model_dim;
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}
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// Number of rows for KV cache. Note that both rows and cols are u32, and
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// the total number of elements can exceed 2^32.
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static size_t CappedSeqLen(const ModelConfig& config,
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const InferenceArgs& inference_args) {
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if (inference_args.seq_len > config.max_seq_len) {
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HWY_WARN("Capping seq_len %zu to config.max_seq_len %u.",
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inference_args.seq_len, config.max_seq_len);
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return config.max_seq_len;
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}
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return inference_args.seq_len;
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}
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KVCache::KVCache(const Extents2D& conv1d_extents,
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const Extents2D& rglru_extents, const Extents2D& kv_extents)
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: conv1d_cache("conv1d_cache", conv1d_extents, MatPadding::kOdd),
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rglru_cache("rglru_cache", rglru_extents, MatPadding::kOdd),
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kv_cache("kv", kv_extents, MatPadding::kOdd) {}
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KVCache::KVCache(const ModelConfig& config, const InferenceArgs& inference_args)
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: KVCache(Extents2D(GriffinLayers(config), GriffinConv1dCols(config)),
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Extents2D(GriffinLayers(config), config.model_dim),
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Extents2D(CappedSeqLen(config, inference_args),
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config.KVCacheCols())) {}
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KVCache KVCache::Copy() {
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KVCache copy(conv1d_cache.Extents(), rglru_cache.Extents(),
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kv_cache.Extents());
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if (conv1d_cache.Rows() != 0) {
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CopyMat(conv1d_cache, copy.conv1d_cache);
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CopyMat(rglru_cache, copy.rglru_cache);
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}
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CopyMat(kv_cache, copy.kv_cache);
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return copy;
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}
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} // namespace gcpp
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