sglang_v0.5.2/flashinfer_0.3.1/flashinfer/compilation_context.py

72 lines
2.5 KiB
Python

"""
Copyright (c) 2025 by FlashInfer team.
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
http://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.
Global compilation context management for FlashInfer.
"""
import os
import torch
import logging
logger = logging.getLogger(__name__)
class CompilationContext:
COMMON_NVCC_FLAGS = [
"-DFLASHINFER_ENABLE_FP8_E8M0",
"-DFLASHINFER_ENABLE_FP4_E2M1",
]
def __init__(self):
self.TARGET_CUDA_ARCHS = set()
if "FLASHINFER_CUDA_ARCH_LIST" in os.environ:
for arch in os.environ["FLASHINFER_CUDA_ARCH_LIST"].split(" "):
major, minor = arch.split(".")
major = int(major)
if major >= 9:
if minor.isdigit():
minor = str(minor) + "a"
self.TARGET_CUDA_ARCHS.add((int(major), minor))
else:
try:
for device in range(torch.cuda.device_count()):
major, minor = torch.cuda.get_device_capability(device)
if major >= 9:
minor = str(minor) + "a"
self.TARGET_CUDA_ARCHS.add((int(major), minor))
except Exception as e:
logger.warning(f"Failed to get device capability: {e}.")
def get_nvcc_flags_list(
self, supported_major_versions: list[int] = None
) -> list[str]:
if supported_major_versions:
supported_cuda_archs = [
major_minor_tuple
for major_minor_tuple in self.TARGET_CUDA_ARCHS
if major_minor_tuple[0] in supported_major_versions
]
else:
supported_cuda_archs = self.TARGET_CUDA_ARCHS
if len(supported_cuda_archs) == 0:
raise RuntimeError(
f"No supported CUDA architectures found for major versions {supported_major_versions}."
)
return [
f"-gencode=arch=compute_{major}{minor},code=sm_{major}{minor}"
for major, minor in supported_cuda_archs
] + self.COMMON_NVCC_FLAGS