84 lines
2.2 KiB
Python
84 lines
2.2 KiB
Python
"""
|
|
helper utils for tests
|
|
"""
|
|
import os
|
|
import shutil
|
|
import tempfile
|
|
import unittest
|
|
from functools import wraps
|
|
from pathlib import Path
|
|
|
|
import torch
|
|
|
|
# from importlib.metadata import version
|
|
from packaging import version
|
|
from tbparse import SummaryReader
|
|
|
|
|
|
def with_temp_dir(test_func):
|
|
@wraps(test_func)
|
|
def wrapper(*args, **kwargs):
|
|
# Create a temporary directory
|
|
temp_dir = tempfile.mkdtemp()
|
|
try:
|
|
# Pass the temporary directory to the test function
|
|
test_func(*args, temp_dir=temp_dir, **kwargs)
|
|
finally:
|
|
# Clean up the directory after the test
|
|
shutil.rmtree(temp_dir)
|
|
|
|
return wrapper
|
|
|
|
|
|
def most_recent_subdir(path):
|
|
base_path = Path(path)
|
|
subdirectories = [d for d in base_path.iterdir() if d.is_dir()]
|
|
if not subdirectories:
|
|
return None
|
|
subdir = max(subdirectories, key=os.path.getctime)
|
|
|
|
return subdir
|
|
|
|
|
|
def require_torch_2_3_1(test_case):
|
|
"""
|
|
Decorator marking a test that requires torch >= 2.3.1
|
|
"""
|
|
|
|
def is_min_2_3_1():
|
|
torch_version = version.parse(torch.__version__)
|
|
return torch_version >= version.parse("2.3.1")
|
|
|
|
return unittest.skipUnless(is_min_2_3_1(), "test torch 2.3.1")(test_case)
|
|
|
|
|
|
def require_torch_2_5_1(test_case):
|
|
"""
|
|
Decorator marking a test that requires torch >= 2.5.1
|
|
"""
|
|
|
|
def is_min_2_5_1():
|
|
torch_version = version.parse(torch.__version__)
|
|
return torch_version >= version.parse("2.5.1")
|
|
|
|
return unittest.skipUnless(is_min_2_5_1(), "test torch 2.5.1")(test_case)
|
|
|
|
|
|
def is_hopper():
|
|
compute_capability = torch.cuda.get_device_capability()
|
|
return compute_capability == (9, 0)
|
|
|
|
|
|
def check_tensorboard(
|
|
temp_run_dir: str, tag: str, lt_val: float, assertion_err: str
|
|
) -> None:
|
|
"""
|
|
helper function to parse and check tensorboard logs
|
|
"""
|
|
tb_log_path = most_recent_subdir(temp_run_dir)
|
|
event_file = os.path.join(tb_log_path, sorted(os.listdir(tb_log_path))[0])
|
|
reader = SummaryReader(event_file)
|
|
df = reader.scalars # pylint: disable=invalid-name
|
|
df = df[(df.tag == tag)] # pylint: disable=invalid-name
|
|
assert df.value.values[-1] < lt_val, assertion_err
|