vllm/tests/v1/test_utils.py
2025-03-02 17:34:51 -08:00

63 lines
2.1 KiB
Python

# SPDX-License-Identifier: Apache-2.0
import torch
from vllm.v1.utils import bind_kv_cache
def test_bind_kv_cache():
from vllm.attention import Attention
ctx = {
'layers.0.self_attn': Attention(32, 128, 0.1),
'layers.1.self_attn': Attention(32, 128, 0.1),
'layers.2.self_attn': Attention(32, 128, 0.1),
'layers.3.self_attn': Attention(32, 128, 0.1),
}
kv_cache = {
'layers.0.self_attn': torch.zeros((1, )),
'layers.1.self_attn': torch.zeros((1, )),
'layers.2.self_attn': torch.zeros((1, )),
'layers.3.self_attn': torch.zeros((1, )),
}
runner_kv_caches: list[torch.Tensor] = []
bind_kv_cache(kv_cache, ctx, runner_kv_caches)
assert ctx['layers.0.self_attn'].kv_cache[0] is kv_cache[
'layers.0.self_attn']
assert ctx['layers.1.self_attn'].kv_cache[0] is kv_cache[
'layers.1.self_attn']
assert ctx['layers.2.self_attn'].kv_cache[0] is kv_cache[
'layers.2.self_attn']
assert ctx['layers.3.self_attn'].kv_cache[0] is kv_cache[
'layers.3.self_attn']
assert runner_kv_caches[0] is kv_cache['layers.0.self_attn']
assert runner_kv_caches[1] is kv_cache['layers.1.self_attn']
assert runner_kv_caches[2] is kv_cache['layers.2.self_attn']
assert runner_kv_caches[3] is kv_cache['layers.3.self_attn']
def test_bind_kv_cache_non_attention():
from vllm.attention import Attention
# example from Jamba PP=2
ctx = {
'model.layers.20.attn': Attention(32, 128, 0.1),
'model.layers.28.attn': Attention(32, 128, 0.1),
}
kv_cache = {
'model.layers.20.attn': torch.zeros((1, )),
'model.layers.28.attn': torch.zeros((1, )),
}
runner_kv_caches: list[torch.Tensor] = []
bind_kv_cache(kv_cache, ctx, runner_kv_caches)
assert ctx['model.layers.20.attn'].kv_cache[0] is kv_cache[
'model.layers.20.attn']
assert ctx['model.layers.28.attn'].kv_cache[0] is kv_cache[
'model.layers.28.attn']
assert runner_kv_caches[0] is kv_cache['model.layers.20.attn']
assert runner_kv_caches[1] is kv_cache['model.layers.28.attn']