[DETR] Remove timm hardcoded logic in modeling files (#29038)

* Enable instantiating model with pretrained backbone weights

* Clarify pretrained import

* Use load_backbone instead

* Add backbone_kwargs to config

* Fix up

* Add tests

* Tidy up

* Enable instantiating model with pretrained backbone weights

* Update tests so backbone checkpoint isn't passed in

* Clarify pretrained import

* Update configs - docs and validation check

* Update src/transformers/utils/backbone_utils.py

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Clarify exception message

* Update config init in tests

* Add test for when use_timm_backbone=True

* Use load_backbone instead

* Add use_timm_backbone to the model configs

* Add backbone_kwargs to config

* Pass kwargs to constructors

* Draft

* Fix tests

* Add back timm - weight naming

* More tidying up

* Whoops

* Tidy up

* Handle when kwargs are none

* Update tests

* Revert test changes

* Deformable detr test - don't use default

* Don't mutate; correct model attributes

* Add some clarifying comments

* nit - grammar is hard

---------

Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
This commit is contained in:
amyeroberts
2024-04-26 16:55:24 +01:00
committed by GitHub
parent 77ff304d29
commit aafa7ce72b
14 changed files with 156 additions and 48 deletions

View File

@@ -456,6 +456,9 @@ class TableTransformerModelTest(ModelTesterMixin, GenerationTesterMixin, Pipelin
# let's pick a random timm backbone
config.backbone = "tf_mobilenetv3_small_075"
config.backbone_config = None
config.use_timm_backbone = True
config.backbone_kwargs = {"out_indices": [2, 3, 4]}
for model_class in self.all_model_classes:
model = model_class(config)
@@ -471,6 +474,11 @@ class TableTransformerModelTest(ModelTesterMixin, GenerationTesterMixin, Pipelin
self.model_tester.num_labels + 1,
)
self.assertEqual(outputs.logits.shape, expected_shape)
# Confirm out_indices was propogated to backbone
self.assertEqual(len(model.model.backbone.conv_encoder.intermediate_channel_sizes), 3)
else:
# Confirm out_indices was propogated to backbone
self.assertEqual(len(model.backbone.conv_encoder.intermediate_channel_sizes), 3)
self.assertTrue(outputs)