* Prepare for transformers v5 upgrade * fix hf cli * update for hf hub changes * fix tokenizer apply_chat_template args * remap include_tokens_per_second * fix tps * handle migration for warmup * use latest hf hub * Fix scan -> ls * fix import * fix for renaming of mistral common tokenizer -> backend * update for fixed tokenziation for llama * Skip phi35 tests for now * remove mistral patch fixed upstream in huggingface/transformers#41439 * use namespacing for patch * don't rely on sdist for e2e tests for now * run modal ci without waiting too * Fix dep for ci * fix imports * Fix fp8 check * fsdp2 fixes * fix version handling * update fsdp version tests for new v5 behavior * Fail multigpu tests after 3 failures * skip known v5 broken tests for now and cleanup * bump deps * unmark skipped test * re-enable test_fsdp_qlora_prequant_packed test * increase multigpu ci timeout * skip broken gemma3 test * reduce timout back to original 120min now that the hanging test is skipped * fix for un-necessary collator for pretraining with bsz=1 * fix: safe_serialization deprecated in transformers v5 rc01 (#3318) * torch_dtype deprecated * load model in float32 for consistency with tests * revert some test fixtures back * use hf cache ls instead of scan * don't strip fsdp_version more fdsp_Version fixes for v5 fix version in fsdp_config fix aliasing fix fsdp_version check check fsdp_version is 2 in both places * Transformers v5 rc2 (#3347) * bump dep * use latest fbgemm, grab model config as part of fixture, un-skip test * import AutoConfig * don't need more problematic autoconfig when specifying config.json manually * add fixtures for argilla ultrafeedback datasets * download phi4-reasoning * fix arg * update tests for phi fast tokenizer changes * use explicit model types for gemma3 --------- Co-authored-by: Wing Lian <wing@axolotl.ai> * fix: AutoModelForVision2Seq -> AutoModelForImageTextToText * chore: remove duplicate * fix: attempt fix gemma3 text mode * chore: lint * ga release of v5 * need property setter for name_or_path for mistral tokenizer * vllm not compatible with transformers v5 * setter for chat_template w mistral too --------- Co-authored-by: NanoCode012 <nano@axolotl.ai> Co-authored-by: salman <salman.mohammadi@outlook.com>
105 lines
3.3 KiB
Python
105 lines
3.3 KiB
Python
"""
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test utils for helpers and decorators
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"""
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import os
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from contextlib import contextmanager
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from functools import wraps
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def reload_modules(hf_hub_offline):
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# Force reload of the modules that check this variable
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import importlib
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import datasets
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import huggingface_hub.constants
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# from huggingface_hub.utils import reset_sessions
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# Reload the constants module first, as others depend on it
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importlib.reload(huggingface_hub.constants)
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huggingface_hub.constants.HF_HUB_OFFLINE = hf_hub_offline
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importlib.reload(datasets.config)
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datasets.config.HF_HUB_OFFLINE = hf_hub_offline
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def enable_hf_offline(test_func):
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"""
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test decorator that sets HF_HUB_OFFLINE environment variable to True and restores it after the test even if the test fails.
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:param test_func:
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:return:
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"""
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@wraps(test_func)
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def wrapper(*args, **kwargs):
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# Save the original value of HF_HUB_OFFLINE environment variable
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original_hf_offline = os.getenv("HF_HUB_OFFLINE")
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# Set HF_OFFLINE environment variable to True
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os.environ["HF_HUB_OFFLINE"] = "1"
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reload_modules(True)
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try:
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# Run the test function
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return test_func(*args, **kwargs)
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finally:
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# Restore the original value of HF_HUB_OFFLINE environment variable
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if original_hf_offline is not None:
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os.environ["HF_HUB_OFFLINE"] = original_hf_offline
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reload_modules(bool(original_hf_offline))
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else:
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del os.environ["HF_HUB_OFFLINE"]
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reload_modules(False)
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return wrapper
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def disable_hf_offline(test_func):
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"""
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test decorator that sets HF_HUB_OFFLINE environment variable to False and restores it after the wrapped func
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:param test_func:
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:return:
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"""
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@wraps(test_func)
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def wrapper(*args, **kwargs):
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# Save the original value of HF_HUB_OFFLINE environment variable
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original_hf_offline = os.getenv("HF_HUB_OFFLINE")
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# Set HF_OFFLINE environment variable to True
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os.environ["HF_HUB_OFFLINE"] = "0"
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reload_modules(False)
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try:
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# Run the test function
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return test_func(*args, **kwargs)
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finally:
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# Restore the original value of HF_HUB_OFFLINE environment variable
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if original_hf_offline is not None:
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os.environ["HF_HUB_OFFLINE"] = original_hf_offline
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reload_modules(bool(original_hf_offline))
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else:
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del os.environ["HF_HUB_OFFLINE"]
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reload_modules(False)
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return wrapper
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@contextmanager
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def hf_offline_context(hf_hub_offline):
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"""
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Context manager that sets HF_HUB_OFFLINE environment variable to the given value.
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:param hf_hub_offline: The new value for HF_HUB_OFFLINE.
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:return: A context manager.
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"""
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original_hf_offline = os.getenv("HF_HUB_OFFLINE")
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os.environ["HF_HUB_OFFLINE"] = str(hf_hub_offline)
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reload_modules(bool(hf_hub_offline))
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yield
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# Restore the original value of HF_HUB_OFFLINE environment variable
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if original_hf_offline is not None:
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os.environ["HF_HUB_OFFLINE"] = original_hf_offline
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reload_modules(bool(original_hf_offline))
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else:
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del os.environ["HF_HUB_OFFLINE"]
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reload_modules(False)
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