mirror of https://github.com/hpcaitech/ColossalAI
215 lines
8.3 KiB
Python
215 lines
8.3 KiB
Python
import subprocess
|
|
|
|
import click
|
|
import torch
|
|
from torch.utils.cpp_extension import CUDA_HOME
|
|
|
|
import colossalai
|
|
|
|
|
|
def to_click_output(val):
|
|
# installation check output to understandable symbols for readability
|
|
VAL_TO_SYMBOL = {True: u'\u2713', False: 'x', None: 'N/A'}
|
|
|
|
if val in VAL_TO_SYMBOL:
|
|
return VAL_TO_SYMBOL[val]
|
|
else:
|
|
return val
|
|
|
|
|
|
def check_installation():
|
|
"""
|
|
This function will check the installation of colossalai, specifically, the version compatibility of
|
|
colossalai, pytorch and cuda.
|
|
|
|
Example:
|
|
```text
|
|
```
|
|
|
|
Returns: A table of installation information.
|
|
"""
|
|
found_aot_cuda_ext = _check_aot_built_cuda_extension_installed()
|
|
cuda_version = _check_cuda_version()
|
|
torch_version, torch_cuda_version = _check_torch_version()
|
|
colossalai_version, prebuilt_torch_version_required, prebuilt_cuda_version_required = _parse_colossalai_version()
|
|
|
|
# if cuda_version is None, that means either
|
|
# CUDA_HOME is not found, thus cannot compare the version compatibility
|
|
if not cuda_version:
|
|
sys_torch_cuda_compatibility = None
|
|
else:
|
|
sys_torch_cuda_compatibility = _is_compatible([cuda_version, torch_cuda_version])
|
|
|
|
# if cuda_version or cuda_version_required is None, that means either
|
|
# CUDA_HOME is not found or AOT compilation is not enabled
|
|
# thus, there is no need to compare the version compatibility at all
|
|
if not cuda_version or not prebuilt_cuda_version_required:
|
|
sys_colossalai_cuda_compatibility = None
|
|
else:
|
|
sys_colossalai_cuda_compatibility = _is_compatible([cuda_version, prebuilt_cuda_version_required])
|
|
|
|
# if torch_version_required is None, that means AOT compilation is not enabled
|
|
# thus there is no need to compare the versions
|
|
if prebuilt_torch_version_required is None:
|
|
torch_compatibility = None
|
|
else:
|
|
torch_compatibility = _is_compatible([torch_version, prebuilt_torch_version_required])
|
|
|
|
click.echo(f'#### Installation Report ####')
|
|
click.echo(f'\n------------ Environment ------------')
|
|
click.echo(f"Colossal-AI version: {to_click_output(colossalai_version)}")
|
|
click.echo(f"PyTorch version: {to_click_output(torch_version)}")
|
|
click.echo(f"System CUDA version: {to_click_output(cuda_version)}")
|
|
click.echo(f"CUDA version required by PyTorch: {to_click_output(torch_cuda_version)}")
|
|
click.echo("")
|
|
click.echo(f"Note:")
|
|
click.echo(f"1. The table above checks the versions of the libraries/tools in the current environment")
|
|
click.echo(f"2. If the System CUDA version is N/A, you can set the CUDA_HOME environment variable to locate it")
|
|
click.echo(
|
|
f"3. If the CUDA version required by PyTorch is N/A, you probably did not install a CUDA-compatible PyTorch. This value is give by torch.version.cuda and you can go to https://pytorch.org/get-started/locally/ to download the correct version."
|
|
)
|
|
|
|
click.echo(f'\n------------ CUDA Extensions AOT Compilation ------------')
|
|
click.echo(f"Found AOT CUDA Extension: {to_click_output(found_aot_cuda_ext)}")
|
|
click.echo(f"PyTorch version used for AOT compilation: {to_click_output(prebuilt_torch_version_required)}")
|
|
click.echo(f"CUDA version used for AOT compilation: {to_click_output(prebuilt_cuda_version_required)}")
|
|
click.echo("")
|
|
click.echo(f"Note:")
|
|
click.echo(
|
|
f"1. AOT (ahead-of-time) compilation of the CUDA kernels occurs during installation when the environment variable CUDA_EXT=1 is set"
|
|
)
|
|
click.echo(f"2. If AOT compilation is not enabled, stay calm as the CUDA kernels can still be built during runtime")
|
|
|
|
click.echo(f"\n------------ Compatibility ------------")
|
|
click.echo(f'PyTorch version match: {to_click_output(torch_compatibility)}')
|
|
click.echo(f"System and PyTorch CUDA version match: {to_click_output(sys_torch_cuda_compatibility)}")
|
|
click.echo(f"System and Colossal-AI CUDA version match: {to_click_output(sys_colossalai_cuda_compatibility)}")
|
|
click.echo(f"")
|
|
click.echo(f"Note:")
|
|
click.echo(f"1. The table above checks the version compatibility of the libraries/tools in the current environment")
|
|
click.echo(
|
|
f" - PyTorch version mismatch: whether the PyTorch version in the current environment is compatible with the PyTorch version used for AOT compilation"
|
|
)
|
|
click.echo(
|
|
f" - System and PyTorch CUDA version match: whether the CUDA version in the current environment is compatible with the CUDA version required by PyTorch"
|
|
)
|
|
click.echo(
|
|
f" - System and Colossal-AI CUDA version match: whether the CUDA version in the current environment is compatible with the CUDA version used for AOT compilation"
|
|
)
|
|
|
|
|
|
def _is_compatible(versions):
|
|
"""
|
|
Compare the list of versions and return whether they are compatible.
|
|
"""
|
|
if None in versions:
|
|
return False
|
|
|
|
# split version into [major, minor, patch]
|
|
versions = [version.split('.') for version in versions]
|
|
|
|
for version in versions:
|
|
if len(version) == 2:
|
|
# x means unknown
|
|
version.append('x')
|
|
|
|
for idx, version_values in enumerate(zip(*versions)):
|
|
equal = len(set(version_values)) == 1
|
|
|
|
if idx in [0, 1] and not equal:
|
|
return False
|
|
elif idx == 1:
|
|
return True
|
|
else:
|
|
continue
|
|
|
|
|
|
def _parse_colossalai_version():
|
|
"""
|
|
Get the Colossal-AI version information.
|
|
|
|
Returns:
|
|
colossalai_version: Colossal-AI version.
|
|
torch_version_for_aot_build: PyTorch version used for AOT compilation of CUDA kernels.
|
|
cuda_version_for_aot_build: CUDA version used for AOT compilation of CUDA kernels.
|
|
"""
|
|
# colossalai version can be in two formats
|
|
# 1. X.X.X+torchX.XXcuXX.X (when colossalai is installed with CUDA extensions)
|
|
# 2. X.X.X (when colossalai is not installed with CUDA extensions)
|
|
# where X represents an integer.
|
|
colossalai_version = colossalai.__version__.split('+')[0]
|
|
|
|
try:
|
|
torch_version_for_aot_build = colossalai.__version__.split('torch')[1].split('cu')[0]
|
|
cuda_version_for_aot_build = colossalai.__version__.split('cu')[1]
|
|
except:
|
|
torch_version_for_aot_build = None
|
|
cuda_version_for_aot_build = None
|
|
return colossalai_version, torch_version_for_aot_build, cuda_version_for_aot_build
|
|
|
|
|
|
def _check_aot_built_cuda_extension_installed():
|
|
"""
|
|
According to `op_builder/README.md`, the CUDA extension can be built with either
|
|
AOT (ahead-of-time) or JIT (just-in-time) compilation.
|
|
AOT compilation will build CUDA extensions to `colossalai._C` during installation.
|
|
JIT (just-in-time) compilation will build CUDA extensions to `~/.cache/colossalai/torch_extensions` during runtime.
|
|
"""
|
|
try:
|
|
import colossalai._C.fused_optim
|
|
found_aot_cuda_ext = True
|
|
except ImportError:
|
|
found_aot_cuda_ext = False
|
|
return found_aot_cuda_ext
|
|
|
|
|
|
def _check_torch_version():
|
|
"""
|
|
Get the PyTorch version information.
|
|
|
|
Returns:
|
|
torch_version: PyTorch version.
|
|
torch_cuda_version: CUDA version required by PyTorch.
|
|
"""
|
|
# get torch version
|
|
# torch version can be of two formats
|
|
# - 1.13.1+cu113
|
|
# - 1.13.1.devxxx
|
|
torch_version = torch.__version__.split('+')[0]
|
|
torch_version = '.'.join(torch_version.split('.')[:3])
|
|
|
|
# get cuda version in pytorch build
|
|
try:
|
|
torch_cuda_major = torch.version.cuda.split(".")[0]
|
|
torch_cuda_minor = torch.version.cuda.split(".")[1]
|
|
torch_cuda_version = f'{torch_cuda_major}.{torch_cuda_minor}'
|
|
except:
|
|
torch_cuda_version = None
|
|
|
|
return torch_version, torch_cuda_version
|
|
|
|
|
|
def _check_cuda_version():
|
|
"""
|
|
Get the CUDA version information.
|
|
|
|
Returns:
|
|
cuda_version: CUDA version found on the system.
|
|
"""
|
|
|
|
# get cuda version
|
|
if CUDA_HOME is None:
|
|
cuda_version = CUDA_HOME
|
|
else:
|
|
try:
|
|
raw_output = subprocess.check_output([CUDA_HOME + "/bin/nvcc", "-V"], universal_newlines=True)
|
|
output = raw_output.split()
|
|
release_idx = output.index("release") + 1
|
|
release = output[release_idx].split(".")
|
|
bare_metal_major = release[0]
|
|
bare_metal_minor = release[1][0]
|
|
cuda_version = f'{bare_metal_major}.{bare_metal_minor}'
|
|
except:
|
|
cuda_version = None
|
|
return cuda_version
|