61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
import torch
|
|
import os
|
|
from loguru import logger
|
|
from typing import Dict, Optional
|
|
|
|
from text_generation_server.utils.log import log_master
|
|
|
|
PREFIX_CACHING = os.getenv("USE_PREFIX_CACHING", "0").lower() in {"1", "true"}
|
|
log_master(logger.info, f"Using prefix caching = {PREFIX_CACHING}")
|
|
ATTENTION = os.getenv("ATTENTION", "flashinfer" if PREFIX_CACHING else "paged")
|
|
_expected = {"paged", "flashdecoding", "flashinfer"}
|
|
assert (
|
|
ATTENTION in _expected
|
|
), f"Attention is not valid {ATTENTION}, expected {_expected}"
|
|
log_master(logger.info, f"Using Attention = {ATTENTION}")
|
|
|
|
if PREFIX_CACHING and ATTENTION != "flashinfer":
|
|
raise RuntimeError("Prefix caching is only supported with flashinfer")
|
|
|
|
MEM_POOL = torch.cuda.graph_pool_handle() if torch.cuda.is_available() else None
|
|
|
|
# This is overridden by the cli
|
|
BLOCK_SIZE: int
|
|
if ATTENTION == "flashdecoding":
|
|
BLOCK_SIZE = 256
|
|
elif ATTENTION == "flashinfer":
|
|
BLOCK_SIZE = 1
|
|
else:
|
|
BLOCK_SIZE = 16
|
|
|
|
cuda_graphs = os.getenv("CUDA_GRAPHS")
|
|
if cuda_graphs is not None:
|
|
try:
|
|
cuda_graphs = [int(item) for item in cuda_graphs.split(",")]
|
|
except Exception as e:
|
|
raise RuntimeError(
|
|
f"Could not parse cuda graphs {cuda_graphs}, expected comma separated list for batch sizes to run on: {e}"
|
|
)
|
|
else:
|
|
cuda_graphs = None
|
|
# sorting the cuda graphs in descending order helps reduce the
|
|
# memory impact and results in less memory usage
|
|
if cuda_graphs is not None:
|
|
cuda_graphs.sort(reverse=True)
|
|
|
|
CUDA_GRAPHS = cuda_graphs
|
|
|
|
# NOTE: eventually we should move this into the router and pass back the
|
|
# index in all cases.
|
|
ADAPTER_TO_INDEX: Optional[Dict[str, int]] = None
|
|
|
|
|
|
def set_adapter_to_index(adapter_to_index: Dict[str, int]):
|
|
global ADAPTER_TO_INDEX
|
|
ADAPTER_TO_INDEX = adapter_to_index
|
|
|
|
|
|
def get_adapter_to_index():
|
|
global ADAPTER_TO_INDEX
|
|
return ADAPTER_TO_INDEX
|