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# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import os
from .async_io import AsyncIOBuilder
class GDSBuilder(AsyncIOBuilder):
BUILD_VAR = "DS_BUILD_GDS"
NAME = "gds"
def __init__(self):
super().__init__()
def absolute_name(self):
return f'deepspeed.ops.gds.{self.NAME}_op'
def lib_sources(self):
src_list = ['csrc/gds/py_lib/deepspeed_py_gds_handle.cpp', 'csrc/gds/py_lib/deepspeed_gds_op.cpp']
return super().lib_sources() + src_list
def sources(self):
return self.lib_sources() + ['csrc/gds/py_lib/py_ds_gds.cpp']
def cxx_args(self):
return super().cxx_args() + ['-lcufile']
def include_paths(self):
import torch
CUDA_INCLUDE = [os.path.join(torch.utils.cpp_extension.CUDA_HOME, "include")]
return ['csrc/aio/py_lib', 'csrc/aio/common'] + CUDA_INCLUDE
def extra_ldflags(self):
return super().extra_ldflags() + ['-lcufile']
def is_compatible(self, verbose=False):
if self.is_rocm_pytorch():
if verbose:
self.warning(f'{self.NAME} is not compatible with ROCM')
return False
try:
import torch.utils.cpp_extension
except ImportError:
if verbose:
self.warning("Please install torch if trying to pre-compile GDS")
return False
CUDA_HOME = torch.utils.cpp_extension.CUDA_HOME
if CUDA_HOME is None:
if verbose:
self.warning("Please install torch CUDA if trying to pre-compile GDS with CUDA")
return False
CUDA_LIB64 = os.path.join(CUDA_HOME, "lib64")
gds_compatible = self.has_function(funcname="cuFileDriverOpen",
libraries=("cufile", ),
library_dirs=(
CUDA_HOME,
CUDA_LIB64,
),
verbose=verbose)
return gds_compatible and super().is_compatible(verbose)
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