Add TensorFlow implementation of ConvNeXTv2 (#25558)
* Add type annotations to TFConvNextDropPath * Use tf.debugging.assert_equal for TFConvNextEmbeddings shape check * Add TensorFlow implementation of ConvNeXTV2 * check_docstrings: add TFConvNextV2Model to exclusions TFConvNextV2Model and TFConvNextV2ForImageClassification have docstrings which are equivalent to their PyTorch cousins, but a parsing issue prevents them from passing the test. Adding exclusions for these two classes as discussed in #25558.
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@@ -97,7 +97,7 @@ Flax), PyTorch, and/or TensorFlow.
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| [Conditional DETR](model_doc/conditional_detr) | ✅ | ❌ | ❌ |
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| [ConvBERT](model_doc/convbert) | ✅ | ✅ | ❌ |
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| [ConvNeXT](model_doc/convnext) | ✅ | ✅ | ❌ |
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| [ConvNeXTV2](model_doc/convnextv2) | ✅ | ❌ | ❌ |
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| [ConvNeXTV2](model_doc/convnextv2) | ✅ | ✅ | ❌ |
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| [CPM](model_doc/cpm) | ✅ | ✅ | ✅ |
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| [CPM-Ant](model_doc/cpmant) | ✅ | ❌ | ❌ |
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| [CTRL](model_doc/ctrl) | ✅ | ✅ | ❌ |
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@@ -58,4 +58,15 @@ If you're interested in submitting a resource to be included here, please feel f
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## ConvNextV2ForImageClassification
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[[autodoc]] ConvNextV2ForImageClassification
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- forward
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- forward
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## TFConvNextV2Model
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[[autodoc]] TFConvNextV2Model
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- call
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## TFConvNextV2ForImageClassification
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[[autodoc]] TFConvNextV2ForImageClassification
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- call
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