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Use absolute path path.resolve() -> path.absolute() (#129409)

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Changes:

1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()`
2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409
Approved by: https://github.com/albanD
This commit is contained in:
Xuehai Pan
2024-12-24 02:57:29 +08:00
committed by PyTorch MergeBot
parent 362ecad9bb
commit 135c7db99d
84 changed files with 128 additions and 124 deletions
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15
torch/testing/_internal/common_utils.py
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@ -22,7 +22,6 @@ import logging
import math
import operator
import os
import pathlib
import platform
import random
import re
@ -989,9 +988,9 @@ UNITTEST_ARGS = [sys.argv[0]] + remaining
torch.manual_seed(SEED)
# CI Prefix path used only on CI environment
CI_TEST_PREFIX = str(Path(os.getcwd()))
CI_PT_ROOT = str(Path(os.getcwd()).parent)
CI_FUNCTORCH_ROOT = str(os.path.join(Path(os.getcwd()).parent, "functorch"))
CI_TEST_PREFIX = str(Path.cwd())
CI_PT_ROOT = str(Path(CI_TEST_PREFIX).parent)
CI_FUNCTORCH_ROOT = str(Path(CI_PT_ROOT) / "functorch")
def wait_for_process(p, timeout=None):
try:
@ -4352,7 +4351,7 @@ class TestCase(expecttest.TestCase):
def _attempt_load_from_subprocess(
self,
file: pathlib.Path,
file: Path,
import_string: str,
expected_failure_message: Optional[str] = None
) -> None:
@ -4361,7 +4360,7 @@ class TestCase(expecttest.TestCase):
weights_only `torch.load` works as expected without global imports.
Args:
file (pathlib.Path): The path to the checkpoint to load.
file (Path): The path to the checkpoint to load.
import_string (str): import string to add to the script
exected_failure_message (str, optional): The expected failure message if the
checkpoint fails to load. If None, the test will pass
@ -5004,11 +5003,11 @@ def disable_gc():
def find_library_location(lib_name: str) -> Path:
# return the shared library file in the installed folder if exist,
# else the file in the build folder
torch_root = Path(torch.__file__).resolve().parent
torch_root = Path(torch.__file__).absolute().parent
path = torch_root / 'lib' / lib_name
if os.path.exists(path):
return path
torch_root = Path(__file__).resolve().parents[2]
torch_root = Path(__file__).absolute().parents[2]
return torch_root / 'build' / 'lib' / lib_name
def skip_but_pass_in_sandcastle(reason):