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process_skipfiles.py
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process_skipfiles.py
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# This script will toggle the comment/uncommenting aspect for dealing
# with __file__ AttributeError arising in case of a few modules in
# `torch/_dynamo/skipfiles.py` (within shark.venv)
from distutils.sysconfig import get_python_lib
import fileinput
from pathlib import Path
# Temporary workaround for transformers/__init__.py.
path_to_transformers_hook = Path(
get_python_lib() + "/_pyinstaller_hooks_contrib/hooks/stdhooks/hook-transformers.py"
)
if path_to_transformers_hook.is_file():
pass
else:
with open(path_to_transformers_hook, "w") as f:
f.write("module_collection_mode = 'pyz+py'")
path_to_skipfiles = Path(get_python_lib() + "/torch/_dynamo/skipfiles.py")
modules_to_comment = ["abc,", "os,", "posixpath,", "_collections_abc,"]
startMonitoring = 0
for line in fileinput.input(path_to_skipfiles, inplace=True):
if "SKIP_DIRS = " in line:
startMonitoring = 1
print(line, end="")
elif startMonitoring in [1, 2]:
if "]" in line:
startMonitoring += 1
print(line, end="")
else:
flag = True
for module in modules_to_comment:
if module in line:
if not line.startswith("#"):
print(f"#{line}", end="")
else:
print(f"{line[1:]}", end="")
flag = False
break
if flag:
print(line, end="")
else:
print(line, end="")
# For getting around scikit-image's packaging, laze_loader has had a patch merged but yet to be released.
# Refer: https://github.com/scientific-python/lazy_loader
path_to_lazy_loader = Path(get_python_lib() + "/lazy_loader/__init__.py")
for line in fileinput.input(path_to_lazy_loader, inplace=True):
if 'stubfile = filename if filename.endswith("i")' in line:
print(
' stubfile = (filename if filename.endswith("i") else f"{os.path.splitext(filename)[0]}.pyi")',
end="",
)
else:
print(line, end="")
# For getting around timm's packaging.
# Refer: https://github.com/pyinstaller/pyinstaller/issues/5673#issuecomment-808731505
path_to_timm_activations = Path(get_python_lib() + "/timm/layers/activations_jit.py")
for line in fileinput.input(path_to_timm_activations, inplace=True):
if "@torch.jit.script" in line:
print("@torch.jit._script_if_tracing", end="\n")
else:
print(line, end="")