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transformers==4.51.3
Python version: 3.11
### Who can help?
@zach-huggingface @SunMarc @MekkCyber
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or ... | {
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Fixes #37513 and fixes #37515. Ready for review! | {
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"merged_at... | w/ this PR:
1. autoawq cases: 9 pass, 1 skip(should skip, since xpu doesn't support exllama, all optimized op will go through ipex backend), 2 fail
2. peft_integration cases: 2 pass, 1 fail(for bnb issue)
3. test_sdpa_can_dispatch_on_flash: 19 pass, 1 fail
fail cases:
tests/models/diffllama/test_modeling_difflla... | {
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root@445d74596699:/vllm-workspace# transformers-cli env
Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.
- `transformers` version: 4.52.0.dev0
- Platform: Linux-5.15.0-43-generic-x86_64-with-glibc2.35
- Python version: 3.12.9
- Huggingface_hub version: 0.30.2
- Sa... | {
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https://api.github.com/repos/huggingface/transformers/issues/37514 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37514/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37514/comments | https://api.github.com/repos/huggingface/transformers/issues/37514/events | https://github.com/huggingface/transformers/pull/37514 | 2,995,288,846 | PR_kwDOCUB6oc6Sm7Q_ | 37,514 | enable test_offloaded_cache_implementation test case on XPU | {
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"merged_at... | 78 cases passed, 1 case(tests/models/dbrx/test_modeling_dbrx.py::DbrxModelTest::test_offloaded_cache_implementation_0_offloaded
) failed, will fix the 1 failed case in a separate PR.
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https://api.github.com/repos/huggingface/transformers/issues/37513 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37513/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37513/comments | https://api.github.com/repos/huggingface/transformers/issues/37513/events | https://github.com/huggingface/transformers/issues/37513 | 2,995,163,467 | I_kwDOCUB6oc6yhpFL | 37,513 | Qwen2_5Omni training forward issue | {
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https://github.com/huggingface/transformers/blob/4e63a1747ce6a4b5f75e8d2318857c2b76c3ba23/src/transformers/models/qwen2_5_omni/modeling_qwen2_5_omni.py#L2505
```
AttributeError: 'Qwen2_5OmniThinkerConfig' object has no attribute 'vocab... | {
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https://api.github.com/repos/huggingface/transformers/issues/37512 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37512/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37512/comments | https://api.github.com/repos/huggingface/transformers/issues/37512/events | https://github.com/huggingface/transformers/pull/37512 | 2,995,107,775 | PR_kwDOCUB6oc6SmTRU | 37,512 | Update tokenization_utils_base.py | {
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"merged_at... | select encoding explicitly.
# What does this PR do?
Always use `utf-8` when reading template files. Without this, on Windows, since the default encoding might not be `utf-8`, it won't be able to read files encoded in `utf-8`.
@ArthurZucker @Rocketknight1
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https://api.github.com/repos/huggingface/transformers/issues/37524 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37524/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37524/comments | https://api.github.com/repos/huggingface/transformers/issues/37524/events | https://github.com/huggingface/transformers/issues/37524 | 2,995,949,386 | I_kwDOCUB6oc6yko9K | 37,524 | A type error in the Template writing document | {
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https://api.github.com/repos/huggingface/transformers/issues/37511 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37511/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37511/comments | https://api.github.com/repos/huggingface/transformers/issues/37511/events | https://github.com/huggingface/transformers/pull/37511 | 2,994,864,581 | PR_kwDOCUB6oc6SlcSS | 37,511 | fix: qwen2.5 omni apply_chat_template system content check | {
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
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I was reading sources of trainer and logic of `num_tokens()` seemed unclear to me. Why multiplication by `max_steps`?
https://github.com/huggingface/transformers/blob/main/src/transformers/trainer.py#L1771
Here is my PR https://github.com/huggingface/transformers/pull/37509 that attempts to make it cl... | {
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Enable dynamism at seq_len dim in order to utilize parallel `prefill` in the executorch runtime. In this PR,
- allow caller side to override example inputs, dynamic shapes and strict flag, but keep the default unchanged for BC
- add unit test to cover export with dynamic shapes, and stric... | {
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`pytest -rA tests/models/speecht5/test_modeling_speecht5.py::SpeechT5ForTextToSpeechIntegrationTests::test_batch_generation`
`pytest -rA tests/models/glm/test_modeling_glm.py::GlmIntegrationTest::test_model_9b_bf16`
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Hi HF team,
I'm wondering about the current status of tensor parallelism (TP) support in Hugging Face. I've noticed that some standard models, such as llama4 and mixtral, include TP sharding plans, and `.from_pretrained` appears to support [loading models with a TP plan](https://github.com/hugging... | null | {
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I tested on a script for t5 and the speed I see is almost 2x faster than before with 4.50?
Is there any significant change?
Thanks
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in th... | {
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This PR adds the support of codes for the coming BitNet b1.58 model from Microsoft. @ArthurZucker
https://arxiv.org/abs/2402.17764 | {
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Link ClearML task when resuming from checkpoint
### Motivation
Currently, when resuming from checkpoint Clearml overwrites the task and starts a new one. A lot of the data and history is lost.
### Your contribution
I will try to see if I can fix it and submit a PR | null | {
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"merged_at... | # What does this PR do?
Fixes #37479
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#create-a-pull-request),
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Following the refactor of the transformers __init__ file and dummy objects, some actions in the add-fast-image-processor CLI are not needed anymore.
Thanks @cjfghk5697 for flagging this in https://github.com/huggingface/transformers/pull/37496 | {
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As per title. Removes the old definitions of `ATTENTION_FUNCTIONS` used before and aligns with the current standard, similar to recent siglip changes by @qubvel . I mostly did it because it'll unbloat the `modular` version of molmo in #33962 .
I ported the changes to all models copying th... | {
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The attention mask (binary) is initialized with zeros in float64, while in make_pixel_mask, the ones and zeros are in int64.
```python
def make_pixel_mask(
image: np.ndarray, output_size: Tuple[int, int], input_data_format: Optional[Union[str, ChannelDimension]] = None
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#36978
This PR fixes an issue encountered when running the command:
```bash
transformers-cli add-fast-image-processor --model-name bridgetower
```
During BridgeTower fast image processor integration, an error occurred due to the indent calculation logic in the function `add_import_s... | {
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Refactoring of the attention modules in bert-based models to use global attention function
### Motivation
Enabling easier support of SDPA and flash attention while minimizing code duplication in Bert copies
### Your contribution
I already created a draft PR #37494 to outline the changes require... | null | {
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"merged_at... | # What does this PR do?
Refactoring of the Attention Modules in bert-based models to use global attention functions.
Allows support of SDPA and flash attention for Bert models and potentially flex attention in the future
This is a first draft (Feedback appreciated)
Could solve:
#37105
#29129
#27957
## Bef... | null | {
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Fixes #37491 and deflakes a test | {
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transformers==4.51.2
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction... | {
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https://api.github.com/repos/huggingface/transformers/issues/37491 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37491/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37491/comments | https://api.github.com/repos/huggingface/transformers/issues/37491/events | https://github.com/huggingface/transformers/issues/37491 | 2,992,907,756 | I_kwDOCUB6oc6yZCXs | 37,491 | [BUG] Qwen2.5-Omni-7B processor numpy view error. | {
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This bug was introduced by #https://github.com/huggingface/transformers/pull/36752/commits/605da8121c4a708102ce04d7092eb61cf7229e8a
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https://api.github.com/repos/huggingface/transformers/issues/37490 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37490/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37490/comments | https://api.github.com/repos/huggingface/transformers/issues/37490/events | https://github.com/huggingface/transformers/pull/37490 | 2,992,793,467 | PR_kwDOCUB6oc6SeSsM | 37,490 | Refactor torchao docs | {
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"merged_at... | # What does this PR do?
Refactoring torchao docs, with clear doc layout, better and exhaustive examples, benchmarks and more !
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Merging qwen omni broke CI, this PR fixes it | {
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https://api.github.com/repos/huggingface/transformers/issues/37488 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37488/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37488/comments | https://api.github.com/repos/huggingface/transformers/issues/37488/events | https://github.com/huggingface/transformers/issues/37488 | 2,992,700,671 | I_kwDOCUB6oc6yYPz_ | 37,488 | Fast Image Processor for EfficientNet: Deprecated folder issue | {
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I left a comment there mentioning that I’d like to contribute a Fast image processor for EfficientFormer.
I tried running the following command from the guide:
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<!--
Congratulations! You've made it this far! You're not quite done yet though.
Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflects the extent of your awesome contribution.
Then, please replace this w... | null | {
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The code snippet is an example from https://huggingface.co/docs/transformers/model_doc/blip#transformers.BlipModel.get_text_features.example.
The warning that I get is:
Some weights of BlipTextModel were not initialized from the model checkpoint at Salesforce/blip-image-captioning-base and are newly ... | {
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https://api.github.com/repos/huggingface/transformers/issues/37485 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37485/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37485/comments | https://api.github.com/repos/huggingface/transformers/issues/37485/events | https://github.com/huggingface/transformers/pull/37485 | 2,992,415,381 | PR_kwDOCUB6oc6Sc_b4 | 37,485 | VDR task guide | {
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Fix tests failed with gated repos by adding `require_read_token` | {
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This is useful in settings where transcription happens in a notebook or UI settings, and callers want to provide users with a progress bar or similar feedback on ... | {
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"merged_at... | `pytest -rA tests/models/kosmos2/test_modeling_kosmos2.py::Kosmos2ModelIntegrationTest::test_snowman_image_captioning` PASS.
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In `transfomers` library, the default value of `attn_temperature_tuning` in `Llama4TextConfig`, is `4`.
https://github.com/huggingface/transformers/blob/953196a43dae6a3c474165fba7d215fcbc7b7730/src/transformers/models/llama4/configuration_llama4.py#L231
However, I think this value should be boolean ... | {
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transformers=v4.51.1
torch=2.6.0
python=3.10.0
The code snippet is as follows:
output = model.generate(**input_ids,do_sample=False,num_beams=2, max_new_tokens=1,force_words_ids=[tokenizer.convert_tokens_to_ids(['A', 'B', 'C', 'D'])])
The error message is as follows:
[rank0]: File "/usr/local/lib/pyth... | {
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https://api.github.com/repos/huggingface/transformers/issues/37477 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37477/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37477/comments | https://api.github.com/repos/huggingface/transformers/issues/37477/events | https://github.com/huggingface/transformers/issues/37477 | 2,991,560,410 | I_kwDOCUB6oc6yT5ba | 37,477 | Unrecognized model in Qwen/Qwen2.5-Coder-7B-Instruct | {
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I bumped my transformers versions to `4.51.2` recently and Qwen 2.5 Coder no longer loads. I downgraded back to `4.49.0` and it loads properly. I think it's a regression.
```
ValueError: Unrecognized model in Qwen/Qwen2.5-Coder-7B-Instruct. Should have a `model_type` key in its config.json, or contain... | {
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Is the Python version correct?
Python 3.9+
TensorFlow requires Python 3.9 to 3.12, according to:
https://www.tensorflow.org/install/pip
3.9+ implies the installation will also work with 3.13, which didn't work for me. Using 3.12.10 works. Does the Python version need ... | {
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https://api.github.com/repos/huggingface/transformers/issues/37475 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37475/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37475/comments | https://api.github.com/repos/huggingface/transformers/issues/37475/events | https://github.com/huggingface/transformers/pull/37475 | 2,991,404,566 | PR_kwDOCUB6oc6SZpLP | 37,475 | trainer.py fix loss aggregation over multiple devices | {
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```
- `transformers` version: 4.46.0
- Platform: Linux-5.15.0-136-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.29.2
- Safetensors version: 0.5.3
- Accelerate version: 1.4.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.4.1+cu121 (True)
- Tensorflo... | null | {
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"merged_at... | # What does this PR do?
Completes the effort of #35902, by adding modular files for ~~SEW~~, SEW-D, SeamlessM4T, SeamlessM4Tv2, SpeechT5 ([as proposed](https://github.com/huggingface/transformers/pull/35902#pullrequestreview-2705453204) by @eustlb)
## Before submitting
- [ ] This PR fixes a typo or improves th... | null | {
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In the `argparse` library, the `type` parameter is applied to each argument individually. When using `type=list` in combination with `nargs="+"`, the command `python utils/check_modular_conversion.py --files abc def` is parsed as `[['a', 'b', 'c'], ['d', 'e', 'f']]`. This behavior occurs beca... | {
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- `transformers` version: 4.51.2
- Platform: Linux-4.18.0-513.18.1.el8_9.x86_64-x86_64-with-glibc2.28
- Python version: 3.12.2
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.4.4
- Accelerate version: 1.0.1
- Accelerate config: not found
- DeepSpeed version: 0.15.3
- PyTorch version (GPU... | null | {
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torch = 2.6.0
transformers = 4.51.0 and 4.51.2
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [x] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [x] My own task or dataset (give det... | {
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This PR removes redundant transpose of router_logits
## Who can review?
cc @ArthurZucker
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# What does this PR do?
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Llama4 do not support flash_attn, leading huge GPU MEM consumption.
### Motivation
request for high training efficiency.
### Your contribution
No | null | {
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Maybe the Phi-4 tokenizer conversion is broken at transformers side.
More info with images here: https://github.com/vllm-project/vllm/issues/16510
### Who can help?
@ArthurZucker @itazap
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Using unsloth model alternative for gated repos in quark quantization, instead of `require_read_token`.
https://github.com/huggingface/transformers/actions/runs/14415368554/job/40431139879 | {
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Currently, FSDP sharding both v1 and v2 would fail to automatically infer which modules to wrap since, the current configuring of no_split_modules for llama4 makes it inaccessible. We should essentially move the `_no_split_modules` to common base class i.e. `Llama4PreTrainedModel`.
Though ... | {
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Convnext image preprocessor raises an assert when checking the logits computed from image preprocessor against the expected logits [here](https://github.com/huggingface/transformers/blob/953196a43dae6a3c474165fba7d215fcbc7b7730/src/transformers/models/convnext/convert_convnext_to_pytorch.py#L187).
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Image processors do not have the same interpolation method used in the actual models (reference to actual models: timm). This PR fixes:
- the interpolation method for ConvNext
- updates the conversion script to use timm models instead of downloading checkpoints from url. This was necessary to... | null | {
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sentence-transformers==3.4.1
spacy-transformers==1.2.4
transformers==4.51.2
numpy==2.0.2
pandas==2.2.3
polars==0.19.19
Python 3.9.14
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in th... | {
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- `transformers` version: 4.48.3
- Platform: Linux-5.15.0-76-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.4.5
- Accelerate version: 1.2.1
- Accelerate config: not found
- PyTorch version (GPU?): 2.5.1+cu124 (True)
- Tensorflow ver... | {
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- Adds multiprocessing for processing modular files (with and without fix_and_overwrite flag)
- While checking, we always should overwrite files to be sure we did not miss any conversion
cc @ydshieh | {
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"merged_at... | reopen #35780
Add test to ensure gradients computed with Flash Attention 2 match eager implementation within specified tolerances. Key changes:
- Add test_flash_attention_2_gradients method to ModelTesterMixin
- Compare gradients between eager and FA2 implementations
- Use same model weights and seeds for rep... | null | {
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- `transformers` version: 4.52.0.dev0
- Platform: Linux-6.8.0-1024-aws-x86_64-with-glibc2.39
- Python version: 3.11.11
- Huggingface_hub version: 0.30.2
- Safetensors version: 0.5.3
- Accelerate version: 1.6.0
- Accelerate config: not found
- DeepSpeed version: not installed
- PyTorch version (GPU?): ... | {
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"merged_at... | # What does this PR do?
Set `control.should_evaluate=True` when `eval_on_start=True` on train start.
### Motivation
Currently if `eval_on_start=True`, `control.should_evaluate` stays false during the first evaluation, which doesn't make sense.
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Removing the mlp triton kernel because of some failures on the CI, and disabling the use of kernels on the CI
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Make sur backward passes are fine | {
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Enables compilation on Gemma3 (and re-enables it on Gemma2 / Cohere2).
Reverts #36620
Supercedes #37433 (solves the same problem, but this PR is much cleaner)
### Performance
Measured on an RTX4090, excluding compile warmup time:
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"merged_at... | # What does this PR do?
Disabling kernels for quantization tests using the flag from this pr https://github.com/huggingface/kernels/pull/70, since the linears are different so we need different kernels in that case
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"merged_at... | Hi @SunMarc . I ran the transformers tests for XPU and found that the `_run_third_party_device_tests` blocks me from setting XPU as the device unless I set the parameter. I cannot see any reason to keep this parameter. There is no limitation for CUDA, so I suppose we should not have limitations for other devices like X... | {
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https://api.github.com/repos/huggingface/transformers/issues/37444 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37444/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37444/comments | https://api.github.com/repos/huggingface/transformers/issues/37444/events | https://github.com/huggingface/transformers/pull/37444 | 2,987,730,588 | PR_kwDOCUB6oc6SNbn5 | 37,444 | Fix Aria tests | {
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"merged_at... | Reproduce:
`TRANSFORMERS_TEST_DEVICE=cuda RUN_SLOW=1 pytest -rA tests/models/aria/test_modeling_aria.py::AriaForConditionalGenerationIntegrationTest::test_batched_generation`
Error log:
```
FAILED tests/models/aria/test_modeling_aria.py::AriaForConditionalGenerationIntegrationTest::test_batched_generation - Runti... | {
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https://api.github.com/repos/huggingface/transformers/issues/37443 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37443/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37443/comments | https://api.github.com/repos/huggingface/transformers/issues/37443/events | https://github.com/huggingface/transformers/pull/37443 | 2,987,591,784 | PR_kwDOCUB6oc6SM9tq | 37,443 | [bug] deprecated deta load_cuda_kernel, MultiScaleDeformableAttention | {
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* load_cuda_kernel unavailable path
https://github.com/huggingface/transformers/blob/main/src/transformers/models/deprecated/deta/modeling_deta.py#L60
* MultiScaleDeformableAttention is not initialized
https://github.com/huggingface/transformers/blob/main/src/transformers/models/depreca... | {
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https://api.github.com/repos/huggingface/transformers/issues/37442 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37442/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37442/comments | https://api.github.com/repos/huggingface/transformers/issues/37442/events | https://github.com/huggingface/transformers/pull/37442 | 2,987,500,791 | PR_kwDOCUB6oc6SMqbX | 37,442 | Implemented update function in cache_utils.py, with a test file test_cache_utils.py | {
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Implemented update function in cache_utils.py, with a test file test_cache_utils.py
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Implemented update function in cache_utils.py, with a test file test_cache_utils.py
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https://api.github.com/repos/huggingface/transformers/issues/37440 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37440/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37440/comments | https://api.github.com/repos/huggingface/transformers/issues/37440/events | https://github.com/huggingface/transformers/pull/37440 | 2,987,490,336 | PR_kwDOCUB6oc6SMoM4 | 37,440 | Update modeling_deta.py | {
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* The deformable detr kernel is deprecated.
* The kernel is build good location. However, the load_cuda_kernel look another location.
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https://api.github.com/repos/huggingface/transformers/issues/37439 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37439/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37439/comments | https://api.github.com/repos/huggingface/transformers/issues/37439/events | https://github.com/huggingface/transformers/pull/37439 | 2,987,449,632 | PR_kwDOCUB6oc6SMf7o | 37,439 | Update quantization docs | {
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@SunMarc | {
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https://api.github.com/repos/huggingface/transformers/issues/37438 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37438/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37438/comments | https://api.github.com/repos/huggingface/transformers/issues/37438/events | https://github.com/huggingface/transformers/pull/37438 | 2,987,445,951 | PR_kwDOCUB6oc6SMfKZ | 37,438 | Fixes: Corrects file path for CUDA kernels | {
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"merged_at... | # What does this PR do?
Corrects the file path used to locate the CUDA kernels for the Deformable Attention module. This ensures that the kernels are loaded correctly, resolving potential errors during module initialization and usage.
## Who can review?
- vision models: @amyeroberts, @qubvel | {
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https://api.github.com/repos/huggingface/transformers/issues/37437 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37437/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37437/comments | https://api.github.com/repos/huggingface/transformers/issues/37437/events | https://github.com/huggingface/transformers/pull/37437 | 2,987,409,982 | PR_kwDOCUB6oc6SMXmb | 37,437 | enhance require_deterministic_for_xpu | {
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"merged_at... | While revisiting this PR https://github.com/huggingface/transformers/pull/30774, we are for "still try to set it to deterministic for XPU (in the decorator body) and use it (despite you might get some failures at some points as I mentioned). You might get lucky" option from @ydshieh. XPU is seeking the same level of u... | {
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Ubuntu 24.04 LTS
torch==2.6.0
transformers==4.51.2
AWS EC2 g4dn.metal
### General Description
Hey all,
Figure these are some growing pains with the latest release.
On an aws ec2 g4dn.metal the model loads fine, no issues with version 4.49.0
Something has broke with loading sharded models for vers... | {
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https://api.github.com/repos/huggingface/transformers/issues/37435 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37435/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37435/comments | https://api.github.com/repos/huggingface/transformers/issues/37435/events | https://github.com/huggingface/transformers/pull/37435 | 2,986,699,189 | PR_kwDOCUB6oc6SJ7Ee | 37,435 | fix issue that some example with no trainer use accelerator.end_train… | {
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"merged_at... | …ing in a wrong way
# What does this PR do?
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the main branch could reproduce
### Who can help?
_No response_
### Information
- [x] The official example scripts
- [ ] My own modified scripts
### Tasks
- [x] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### R... | {
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https://api.github.com/repos/huggingface/transformers/issues/37433 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37433/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37433/comments | https://api.github.com/repos/huggingface/transformers/issues/37433/events | https://github.com/huggingface/transformers/pull/37433 | 2,986,682,231 | PR_kwDOCUB6oc6SJ3QE | 37,433 | [Gemma3] compile at generation time ✨ | {
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WIP, needs code cleanup, some history, and a PR description
Enables `torch.compile` for Gemma3 (and fixes it for other models using `HybridCache` like Gemma2) | {
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https://api.github.com/repos/huggingface/transformers/issues/37432 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37432/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37432/comments | https://api.github.com/repos/huggingface/transformers/issues/37432/events | https://github.com/huggingface/transformers/pull/37432 | 2,986,674,843 | PR_kwDOCUB6oc6SJ1pg | 37,432 | allow accelerate prepare for torch compiled models | {
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"merged_at... | # What does this PR do?
FSDP2 does't work with torch compiled models since it has an optimized wrap around it.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [ ] Did you read the [contributor guideline](https://github.com/huggingf... | null | {
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Hi there,
I’m using transformers==4.49. I’m using the trainer with a webdataset, where I’m setting an approximate length to the webdataset, for compatibility with the trainer.
Regardless of what I do, and even if I use max steps rather than
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https://api.github.com/repos/huggingface/transformers/issues/37430 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37430/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37430/comments | https://api.github.com/repos/huggingface/transformers/issues/37430/events | https://github.com/huggingface/transformers/pull/37430 | 2,986,569,591 | PR_kwDOCUB6oc6SJfjJ | 37,430 | nit: typing use Llama4TextConfig instead of Llama4Config | {
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"merged_at... | # What does this PR do?
nit fix, use text config typing instead.
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
- [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#crea... | {
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https://api.github.com/repos/huggingface/transformers/issues/37429 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37429/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37429/comments | https://api.github.com/repos/huggingface/transformers/issues/37429/events | https://github.com/huggingface/transformers/pull/37429 | 2,986,545,634 | PR_kwDOCUB6oc6SJaRN | 37,429 | fix document masking for chunked attention | {
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The chunked attention was clobbering the document_ids meaning that the info to distinguish documents within the same chunk is gone. The proper way to do this is to simply generate a chunk mask and combine with the existing causal mask.
## Before submitting
- [ ] This PR fixes a typo or im... | {
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Hi there,
I'm using tridao's flash attention and I'm running into an import error with the transformers library:
```
File "/g/g14/venkatraman2/glm/glm/train/training.py", line 34, in <module>
from glm.train.train_wrapper_registry import train_wrapper_registry
File "/g/g14/venkatraman2/glm/glm/t... | {
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https://api.github.com/repos/huggingface/transformers/issues/37427 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37427/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37427/comments | https://api.github.com/repos/huggingface/transformers/issues/37427/events | https://github.com/huggingface/transformers/pull/37427 | 2,986,223,412 | PR_kwDOCUB6oc6SIUaw | 37,427 | Refixing require_read_token | {
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https://api.github.com/repos/huggingface/transformers/issues/37426 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37426/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37426/comments | https://api.github.com/repos/huggingface/transformers/issues/37426/events | https://github.com/huggingface/transformers/pull/37426 | 2,986,104,804 | PR_kwDOCUB6oc6SH6Np | 37,426 | Adding to self_comment_ci.yml | {
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As stated above
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https://api.github.com/repos/huggingface/transformers/issues/37423 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37423/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37423/comments | https://api.github.com/repos/huggingface/transformers/issues/37423/events | https://github.com/huggingface/transformers/issues/37423 | 2,985,717,776 | I_kwDOCUB6oc6x9nAQ | 37,423 | pytorch_utils.py > isin_mps_friendly > RuntimeError: Expected elements.dtype() == test_elements.dtype() to be true, but got false. | {
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I just followed this tutorial. but got error
https://huggingface.co/learn/audio-course/en/chapter2/tts_pipeline
```python
from transformers import pipeline
pipe = pipeline("text-to-speech", model="suno/bark-small")
text = "Ladybugs have had important roles in culture and religion, being associated with luck, love,... | {
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https://api.github.com/repos/huggingface/transformers/issues/37422 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37422/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37422/comments | https://api.github.com/repos/huggingface/transformers/issues/37422/events | https://github.com/huggingface/transformers/pull/37422 | 2,985,714,410 | PR_kwDOCUB6oc6SGkGb | 37,422 | Fix require_read_token | {
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Add require_read_token to functions instead of classes | {
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https://api.github.com/repos/huggingface/transformers/issues/37420 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37420/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37420/comments | https://api.github.com/repos/huggingface/transformers/issues/37420/events | https://github.com/huggingface/transformers/issues/37420 | 2,985,244,963 | I_kwDOCUB6oc6x7zkj | 37,420 | Missing SpeechT5ForVoiceConversion class - ImportError after installation | {
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from transformers import SpeechT5Processor, SpeechT5ForVoiceConversion
ImportError: cannot import name 'SpeechT5ForVoiceConversion' from 'transformers'
### Motivation
pip show transformers
Name: transformers
Version: 4.51.1
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFl... | {
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https://api.github.com/repos/huggingface/transformers/issues/37419 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37419/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37419/comments | https://api.github.com/repos/huggingface/transformers/issues/37419/events | https://github.com/huggingface/transformers/pull/37419 | 2,985,144,824 | PR_kwDOCUB6oc6SEloB | 37,419 | update `kernels` to 0.4.3 | {
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This makes sure we can disable the kernels if needed! | {
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https://api.github.com/repos/huggingface/transformers/issues/37418 | https://api.github.com/repos/huggingface/transformers | https://api.github.com/repos/huggingface/transformers/issues/37418/labels{/name} | https://api.github.com/repos/huggingface/transformers/issues/37418/comments | https://api.github.com/repos/huggingface/transformers/issues/37418/events | https://github.com/huggingface/transformers/pull/37418 | 2,985,119,487 | PR_kwDOCUB6oc6SEgC7 | 37,418 | use `rms_norm_eps` for the L2Norm for Llama4 | {
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It seems like this changes throughout the port, updating and will test! | {
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