* fix: load_in_*bit not properly read * fix: load_*bit check * fix: typo * refactor: load * bit handling * feat: add test dpo lora multi-gpu * fix: turn off sample packing for dpo * fix: missing warmup_steps * fix: test to load in 8bit for lora * skip 8bit lora on h100, add 4bit lora on h100 to multi gpu tests * chore: reduce max_steps --------- Co-authored-by: Wing Lian <wing.lian@gmail.com>
55 lines
1.3 KiB
Python
55 lines
1.3 KiB
Python
"""
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helper utils for tests
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"""
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import os
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import shutil
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import tempfile
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import unittest
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from functools import wraps
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from importlib.metadata import version
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from pathlib import Path
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import torch
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def with_temp_dir(test_func):
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@wraps(test_func)
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def wrapper(*args, **kwargs):
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# Create a temporary directory
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temp_dir = tempfile.mkdtemp()
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try:
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# Pass the temporary directory to the test function
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test_func(*args, temp_dir=temp_dir, **kwargs)
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finally:
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# Clean up the directory after the test
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shutil.rmtree(temp_dir)
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return wrapper
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def most_recent_subdir(path):
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base_path = Path(path)
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subdirectories = [d for d in base_path.iterdir() if d.is_dir()]
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if not subdirectories:
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return None
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subdir = max(subdirectories, key=os.path.getctime)
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return subdir
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def require_torch_2_3_1(test_case):
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"""
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Decorator marking a test that requires torch >= 2.3.1
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"""
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def is_min_2_3_1():
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torch_version = version("torch")
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return torch_version >= "2.3.1"
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return unittest.skipUnless(is_min_2_3_1(), "test torch 2.3.1")(test_case)
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def is_hopper():
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compute_capability = torch.cuda.get_device_capability()
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return compute_capability == (9, 0)
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