Resnet flax (#21472)
* [WIP] flax resnet * added pretrained flax models, results reproducible * Added pretrained flax models, results reproducible * working on tests * no real code change, just some comments * [flax] adding support for batch norm layers * fixing bugs related to pt+flax integration * removing loss from modeling flax output class * fixing classifier tests * fixing comments, model output * cleaning comments * review changes * review changes * Apply suggestions from code review Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com> * renaming Flax to PyTorch --------- Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
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@@ -285,7 +285,7 @@ Flax), PyTorch, und/oder TensorFlow haben.
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| Reformer | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RegNet | ❌ | ❌ | ✅ | ✅ | ❌ |
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| RemBERT | ✅ | ✅ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ✅ | ✅ |
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| RetriBERT | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RoBERTa | ✅ | ✅ | ✅ | ✅ | ✅ |
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| RoFormer | ✅ | ✅ | ✅ | ✅ | ✅ |
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@@ -377,7 +377,7 @@ Flax), PyTorch, and/or TensorFlow.
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| Reformer | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RegNet | ❌ | ❌ | ✅ | ✅ | ❌ |
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| RemBERT | ✅ | ✅ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ✅ | ✅ |
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| RetriBERT | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RoBERTa | ✅ | ✅ | ✅ | ✅ | ✅ |
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| RoBERTa-PreLayerNorm | ❌ | ❌ | ✅ | ✅ | ✅ |
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@@ -71,3 +71,13 @@ If you're interested in submitting a resource to be included here, please feel f
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[[autodoc]] TFResNetForImageClassification
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- call
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## FlaxResNetModel
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[[autodoc]] FlaxResNetModel
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- __call__
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## FlaxResNetForImageClassification
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[[autodoc]] FlaxResNetForImageClassification
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- __call__
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@@ -237,7 +237,7 @@ Flax), PyTorch y/o TensorFlow.
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| Reformer | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RegNet | ❌ | ❌ | ✅ | ❌ | ❌ |
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| RemBERT | ✅ | ✅ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ❌ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ❌ | ✅ |
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| RetriBERT | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RoBERTa | ✅ | ✅ | ✅ | ✅ | ✅ |
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| RoFormer | ✅ | ✅ | ✅ | ✅ | ✅ |
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@@ -254,7 +254,7 @@ tokenizer (chiamato "slow"). Un tokenizer "fast" supportato dalla libreria 🤗
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| Reformer | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RegNet | ❌ | ❌ | ✅ | ❌ | ❌ |
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| RemBERT | ✅ | ✅ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ❌ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ✅ | ✅ |
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| RetriBERT | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RoBERTa | ✅ | ✅ | ✅ | ✅ | ✅ |
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| RoFormer | ✅ | ✅ | ✅ | ✅ | ✅ |
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@@ -339,7 +339,7 @@ specific language governing permissions and limitations under the License.
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| Reformer | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RegNet | ❌ | ❌ | ✅ | ✅ | ❌ |
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| RemBERT | ✅ | ✅ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ✅ | ✅ |
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| RetriBERT | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RoBERTa | ✅ | ✅ | ✅ | ✅ | ✅ |
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| RoBERTa-PreLayerNorm | ❌ | ❌ | ✅ | ✅ | ✅ |
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@@ -308,7 +308,7 @@ specific language governing permissions and limitations under the License.
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| Reformer | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RegNet | ❌ | ❌ | ✅ | ✅ | ❌ |
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| RemBERT | ✅ | ✅ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ✅ | ✅ |
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| RetriBERT | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RoBERTa | ✅ | ✅ | ✅ | ✅ | ✅ |
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| RoCBert | ✅ | ❌ | ✅ | ❌ | ❌ |
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@@ -252,7 +252,7 @@ disso, são diferenciados pelo suporte em diferentes frameworks: JAX (por meio d
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| Reformer | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RegNet | ❌ | ❌ | ✅ | ❌ | ❌ |
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| RemBERT | ✅ | ✅ | ✅ | ✅ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ❌ | ❌ |
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| ResNet | ❌ | ❌ | ✅ | ❌ | ✅ |
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| RetriBERT | ✅ | ✅ | ✅ | ❌ | ❌ |
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| RoBERTa | ✅ | ✅ | ✅ | ✅ | ✅ |
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| RoFormer | ✅ | ✅ | ✅ | ✅ | ✅ |
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