Files
DeepSpeed/deepspeed/env_report.py
2023-03-27 07:55:19 -04:00

123 lines
4.6 KiB
Python

'''Copyright The Microsoft DeepSpeed Team'''
import torch
import deepspeed
import subprocess
import argparse
from .ops.op_builder.all_ops import ALL_OPS
from .git_version_info import installed_ops, torch_info
from deepspeed.accelerator import get_accelerator
GREEN = '\033[92m'
RED = '\033[91m'
YELLOW = '\033[93m'
END = '\033[0m'
SUCCESS = f"{GREEN} [SUCCESS] {END}"
OKAY = f"{GREEN}[OKAY]{END}"
WARNING = f"{YELLOW}[WARNING]{END}"
FAIL = f'{RED}[FAIL]{END}'
INFO = '[INFO]'
color_len = len(GREEN) + len(END)
okay = f"{GREEN}[OKAY]{END}"
warning = f"{YELLOW}[WARNING]{END}"
def op_report(verbose=True):
max_dots = 23
max_dots2 = 11
h = ["op name", "installed", "compatible"]
print("-" * (max_dots + max_dots2 + len(h[0]) + len(h[1])))
print("DeepSpeed C++/CUDA extension op report")
print("-" * (max_dots + max_dots2 + len(h[0]) + len(h[1])))
print("NOTE: Ops not installed will be just-in-time (JIT) compiled at\n"
" runtime if needed. Op compatibility means that your system\n"
" meet the required dependencies to JIT install the op.")
print("-" * (max_dots + max_dots2 + len(h[0]) + len(h[1])))
print("JIT compiled ops requires ninja")
ninja_status = OKAY if ninja_installed() else FAIL
print('ninja', "." * (max_dots - 5), ninja_status)
print("-" * (max_dots + max_dots2 + len(h[0]) + len(h[1])))
print(h[0], "." * (max_dots - len(h[0])), h[1], "." * (max_dots2 - len(h[1])), h[2])
print("-" * (max_dots + max_dots2 + len(h[0]) + len(h[1])))
installed = f"{GREEN}[YES]{END}"
no = f"{YELLOW}[NO]{END}"
for op_name, builder in ALL_OPS.items():
dots = "." * (max_dots - len(op_name))
is_compatible = OKAY if builder.is_compatible(verbose) else no
is_installed = installed if installed_ops[op_name] else no
dots2 = '.' * ((len(h[1]) + (max_dots2 - len(h[1]))) - (len(is_installed) - color_len))
print(op_name, dots, is_installed, dots2, is_compatible)
print("-" * (max_dots + max_dots2 + len(h[0]) + len(h[1])))
def ninja_installed():
try:
import ninja # noqa: F401
except ImportError:
return False
return True
def nvcc_version():
import torch.utils.cpp_extension
cuda_home = torch.utils.cpp_extension.CUDA_HOME
if cuda_home is None:
return f"{RED} [FAIL] cannot find CUDA_HOME via torch.utils.cpp_extension.CUDA_HOME={torch.utils.cpp_extension.CUDA_HOME} {END}"
try:
output = subprocess.check_output([cuda_home + "/bin/nvcc", "-V"], universal_newlines=True)
except FileNotFoundError:
return f"{RED} [FAIL] nvcc missing {END}"
output_split = output.split()
release_idx = output_split.index("release")
release = output_split[release_idx + 1].replace(',', '').split(".")
return ".".join(release)
def debug_report():
max_dots = 33
report = [("torch install path", torch.__path__), ("torch version", torch.__version__),
("deepspeed install path", deepspeed.__path__),
("deepspeed info", f"{deepspeed.__version__}, {deepspeed.__git_hash__}, {deepspeed.__git_branch__}")]
if get_accelerator().device_name() == 'cuda':
hip_version = getattr(torch.version, "hip", None)
report.extend([("torch cuda version", torch.version.cuda), ("torch hip version", hip_version),
("nvcc version", (None if hip_version else nvcc_version())),
("deepspeed wheel compiled w.", f"torch {torch_info['version']}, " +
(f"hip {torch_info['hip_version']}" if hip_version else f"cuda {torch_info['cuda_version']}"))
])
else:
report.extend([("deepspeed wheel compiled w.", f"torch {torch_info['version']} ")])
print("DeepSpeed general environment info:")
for name, value in report:
print(name, "." * (max_dots - len(name)), value)
def parse_arguments():
parser = argparse.ArgumentParser()
parser.add_argument('--hide_operator_status',
action='store_true',
help='Suppress display of installation and compatibility statuses of DeepSpeed operators. ')
parser.add_argument('--hide_errors_and_warnings', action='store_true', help='Suppress warning and error messages.')
args = parser.parse_args()
return args
def main(hide_operator_status=False, hide_errors_and_warnings=False):
if not hide_operator_status:
op_report(verbose=not hide_errors_and_warnings)
debug_report()
def cli_main():
args = parse_arguments()
main(hide_operator_status=args.hide_operator_status, hide_errors_and_warnings=args.hide_errors_and_warnings)
if __name__ == "__main__":
main()