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Fix HF pipeline test failure #534

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merged 2 commits into from
Apr 2, 2024
Merged

Fix HF pipeline test failure #534

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b05c39b
Add cache_position dummy parameter to ignore faulty input
2015aroras Apr 2, 2024
9d483f7
Update CHANGELOG
2015aroras Apr 2, 2024
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1 change: 1 addition & 0 deletions CHANGELOG.md
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Expand Up @@ -28,6 +28,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- Don't log garbage on nodes that aren't rank 0
- Don't crash in the HF code when we are referring to a tokenizer in a local file
- Fixed the size calculation for qk layer norm
- Fixed pipeline test failure that occurs due to a bug in transformers version 4.39.1

## [v0.2.5](https://github.com/allenai/OLMo/releases/tag/v0.2.5) - 2024-03-06

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4 changes: 4 additions & 0 deletions hf_olmo/modeling_olmo.py
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Expand Up @@ -3,6 +3,7 @@

import torch
from transformers import PreTrainedModel
from transformers.cache_utils import Cache
from transformers.modeling_outputs import CausalLMOutputWithPast
from transformers.models.auto import AutoModelForCausalLM

Expand Down Expand Up @@ -57,6 +58,9 @@ def forward(
output_attentions: Optional[bool] = None,
output_hidden_states: Optional[bool] = None,
return_dict: Optional[bool] = None,
cache_position: Optional[
Cache
] = None, # This is a hack mitigation of an issue in transformers `4.39.x` https://github.com/huggingface/transformers/issues/29426
) -> Union[Tuple, CausalLMOutputWithPast]:
if use_cache is None:
use_cache = self.config.use_cache
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