mirror of https://github.com/google/gemma.cpp.git
106 lines
3.6 KiB
C++
106 lines
3.6 KiB
C++
// Copyright 2024 Google LLC
|
|
// SPDX-License-Identifier: Apache-2.0
|
|
//
|
|
// 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
|
|
//
|
|
// https://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.
|
|
|
|
#include "gemma/kv_cache.h"
|
|
|
|
#include <algorithm>
|
|
|
|
#include "gemma/configs.h"
|
|
#include "hwy/aligned_allocator.h"
|
|
#include "hwy/base.h" // ZeroBytes
|
|
|
|
namespace gcpp {
|
|
|
|
void KVCache::ZeroGriffinCache() {
|
|
if (conv1d_cache_size != 0) {
|
|
hwy::ZeroBytes(conv1d_cache.get(),
|
|
conv1d_cache_size * sizeof(conv1d_cache[0]));
|
|
}
|
|
if (rglru_cache_size != 0) {
|
|
hwy::ZeroBytes(rglru_cache.get(),
|
|
rglru_cache_size * sizeof(rglru_cache[0]));
|
|
}
|
|
}
|
|
|
|
// prefill_tbatch_size is the maximum number of tokens from one query to
|
|
// prefill at a time.
|
|
KVCache KVCache::Create(const ModelConfig& weights_config,
|
|
size_t prefill_tbatch_size) {
|
|
KVCache kv_cache = {};
|
|
|
|
const size_t size_cache_pos = weights_config.CachePosSize();
|
|
if (size_cache_pos != 0) {
|
|
// Allocate more so that prefill can always access one batch, even if
|
|
// near the end of the sequence.
|
|
kv_cache.seq_len = weights_config.seq_len + prefill_tbatch_size;
|
|
kv_cache.kv_cache =
|
|
hwy::AllocateAligned<float>(kv_cache.seq_len * size_cache_pos);
|
|
}
|
|
|
|
const size_t num_griffin_layers = weights_config.NumLayersOfType(
|
|
LayerAttentionType::kGriffinRecurrentBlock);
|
|
// TODO(patrickms): Add query batching support for Griffin.
|
|
if (num_griffin_layers > 0) {
|
|
uint32_t conv1d_width = 0;
|
|
for (const auto& layer_config : weights_config.layer_configs) {
|
|
conv1d_width = std::max(conv1d_width, layer_config.conv1d_width);
|
|
}
|
|
const size_t conv1d_cache_size =
|
|
num_griffin_layers * (conv1d_width == 0 ? 0 : conv1d_width - 1) *
|
|
weights_config.model_dim;
|
|
kv_cache.conv1d_cache_size = conv1d_cache_size;
|
|
if (conv1d_cache_size != 0) {
|
|
kv_cache.conv1d_cache = hwy::AllocateAligned<float>(conv1d_cache_size);
|
|
}
|
|
|
|
const size_t rglru_cache_size =
|
|
num_griffin_layers * weights_config.model_dim;
|
|
kv_cache.rglru_cache_size = rglru_cache_size;
|
|
if (rglru_cache_size != 0) {
|
|
kv_cache.rglru_cache = hwy::AllocateAligned<float>(rglru_cache_size);
|
|
}
|
|
} // num_griffin_layers
|
|
|
|
return kv_cache;
|
|
}
|
|
|
|
KVCache KVCache::Copy(const ModelConfig& weights_config,
|
|
size_t prefill_tbatch_size) {
|
|
KVCache kv_cache_copy = Create(weights_config, prefill_tbatch_size);
|
|
|
|
const size_t size_cache_pos = weights_config.CachePosSize();
|
|
if (size_cache_pos != 0) {
|
|
std::copy(kv_cache.get(), kv_cache.get() + size_cache_pos * seq_len,
|
|
kv_cache_copy.kv_cache.get());
|
|
}
|
|
|
|
const size_t num_griffin_layers = weights_config.NumLayersOfType(
|
|
LayerAttentionType::kGriffinRecurrentBlock);
|
|
if (num_griffin_layers > 0) {
|
|
if (conv1d_cache_size != 0) {
|
|
std::copy(conv1d_cache.get(), conv1d_cache.get() + conv1d_cache_size,
|
|
kv_cache_copy.conv1d_cache.get());
|
|
}
|
|
if (rglru_cache_size != 0) {
|
|
std::copy(rglru_cache.get(),
|
|
rglru_cache.get() + rglru_cache_size * sizeof(rglru_cache[0]),
|
|
kv_cache_copy.rglru_cache.get());
|
|
}
|
|
}
|
|
return kv_cache_copy;
|
|
}
|
|
|
|
} // namespace gcpp
|