-
Notifications
You must be signed in to change notification settings - Fork 27.1k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Pipeline] skip feature extraction test if in IMAGE_PROCESSOR_MAPPING
#20790
[Pipeline] skip feature extraction test if in IMAGE_PROCESSOR_MAPPING
#20790
Conversation
The documentation is not available anymore as the PR was closed or merged. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
LGTM.
Are all image FeatureExtractor
going to be renamed ImageProcessor
?
Thanks |
I think it's good to disambiguate Audio from Vision (both are currently named In that regard I'd like to stress to include no-code (or almost none) into For instance |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks for the fix!
… add_get_encoder_decoder_fsmt * 'main' of ssh://github.com/huggingface/transformers: (1433 commits) Add Universal Segmentation class + mapping (huggingface#20766) Stop calling expand_1d on newer TF versions (huggingface#20786) Fix object detection2 (huggingface#20798) [Pipeline] skip feature extraction test if in `IMAGE_PROCESSOR_MAPPING` (huggingface#20790) Recompile `apex` in `DeepSpeed` CI image (huggingface#20788) Move convert_to_rgb to image_transforms module (huggingface#20784) Generate: use `GenerationConfig` as the basis for `.generate()` parametrization (huggingface#20388) Install video dependency for pipeline CI (huggingface#20777) Fixing object detection with `layoutlm` (huggingface#20776) [Pipeline] fix failing bloom `pipeline` test (huggingface#20778) Patch for FlanT5-XXL 8bit support (huggingface#20760) Install vision for TF pipeline tests (huggingface#20771) Even more validation. (huggingface#20762) Add Swin backbone (huggingface#20769) Install `torch-tensorrt 1.3.0` for DeepSpeed CI (huggingface#20764) Replaces xxx_required with requires_backends (huggingface#20715) [CI-Test] Fixes but also skips the mT5 tests (huggingface#20755) Fix attribute error problem (huggingface#20765) [Tests] Improve test_attention_outputs (huggingface#20701) Fix missing `()` in some usage of `is_flaky` (huggingface#20749) ...
…G` (huggingface#20790) skip feature extraction test if in `IMAGE_PROCESSOR_MAPPING`
…G` (huggingface#20790) skip feature extraction test if in `IMAGE_PROCESSOR_MAPPING`
…G` (huggingface#20790) skip feature extraction test if in `IMAGE_PROCESSOR_MAPPING`
What does this PR do?
Fixes the following failing test
Context:
Currently
FeatureExtractionPipelineTests
are skipped for multi-modal models by checking if the model config is inFEATURE_EXTRACTOR_MAPPING
. The check is done on this lineRecent vision and multimodal models will deprecate the usage of
xxxFeatureExtractor
in favor ofxxxImageProcessors
. For Blip, the test fails becauseBlipFeatureExtractor
is not implemented at all in favor ofBlipImageProcessor
.Why this fix is relevant?
Blip seems to be the first multimodal model that relies on
xxxImageProcessor
only.cc @Narsil @amyeroberts @NielsRogge