vllm/vllm/lora/ops/utils.py

47 lines
1.5 KiB
Python

import functools
from typing import Dict
@functools.lru_cache
def _get_op_configs(op_type: str, batch: int, hidden_size: int):
# TODO: add optimal configurations
return None
def _check_divisibility(hidden_size: int):
# The bgmv_expand kernel requires that the hidden_size be divisible by
# the number below.
divisibility = [2, 4, 8, 16, 32, 64]
divisibility.sort(reverse=True)
for div in divisibility:
if hidden_size % div == 0:
return div
# hidden_size is an odd number
return 1
def _get_default_config(op_type: str, batch: int, hidden_size: int):
if op_type == "expand":
return {
"BLOCK_N": 256,
"SPLIT_N": _check_divisibility(hidden_size),
"num_warps": 8
}
else:
return {"BLOCK_K": 256, "SPLIT_K": 64, "num_warps": 8}
def get_lora_op_configs(op_type: str, batch: int,
hidden_size: int) -> Dict[str, int]:
"""Inspired by `fused_moe_kernel`
The return value will be a dictionary mapping an irregular grid of batch
sizes and hidden_size to configurations of the bgmv-related kernel.
NOTE: It currently only supports the default configuration. We plan to
generate optimal configurations for different hardware in the future using
scripts similar to `benchmark_moe.py`.
"""
config = _get_op_configs(op_type, batch, hidden_size)
if not config:
config = _get_default_config(op_type, batch, hidden_size)
return config