00568c1539
* support for true batches with multipack * patch the map dataset fetcher to handle batches with packed indexes * patch 4d mask creation for sdp attention * better handling for BetterTransformer * patch general case for 4d mask * setup forward patch. WIP * fix patch file * support for multipack w/o flash attention for llama * cleanup * add warning about bf16 vs fp16 for multipack with sdpa * bugfixes * add 4d multipack tests, refactor patches * update tests and add warnings * fix e2e file check * skip sdpa test if not at least torch 2.1.1, update docs
48 lines
1.1 KiB
Python
48 lines
1.1 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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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_1_1(test_case):
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"""
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Decorator marking a test that requires torch >= 2.1.1
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"""
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def is_min_2_1_1():
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torch_version = version("torch")
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return torch_version >= "2.1.1"
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return unittest.skipUnless(is_min_2_1_1(), "test torch 2.1.1")(test_case)
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