66584dea87782aed5509e4269a9f015002e1f5c1,pytext/torchscript/module.py,PyTextEmbeddingModuleWithDense,forward,#PyTextEmbeddingModuleWithDense#Any#Any#,1232
Before Change
)
// call model
dense_feat = self.normalizer.normalize(dense_feat)
dense_tensor = torch.tensor(dense_feat, dtype=torch.float)
if self.tensorizer.device != "":
dense_tensor = dense_tensor.to(self.tensorizer.device)
sentence_embedding = self._forward(inputs, dense_tensor)
if self.concat_dense:
return torch.cat([sentence_embedding, dense_tensor], 1)
else:
return sentence_embedding
@torch.jit.script_method
After Change
)
// the result of forward is either a torch.Tensor or a List[Any]
if isinstance(result, torch.Tensor):
result = torch.cat([result, result_extension], dim=0)
else:
result.extend(result_extension)
texts = texts[max_batch:]
dense_feat = dense_feat[max_batch:]
return result
@torch.jit.script_method
def make_prediction(
self,
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 8
Instances Project Name: facebookresearch/pytext
Commit Name: 66584dea87782aed5509e4269a9f015002e1f5c1
Time: 2021-02-23
Author: mikekg@fb.com
File Name: pytext/torchscript/module.py
Class Name: PyTextEmbeddingModuleWithDense
Method Name: forward
Project Name: IBM/adversarial-robustness-toolbox
Commit Name: cb05dac110cff7b58fa2f9b6a8562c571fb59c00
Time: 2020-04-17
Author: M.N.Tran@ibm.com
File Name: art/attacks/evasion/projected_gradient_descent/projected_gradient_descent_tensorflow_v2.py
Class Name: ProjectedGradientDescentTensorflowV2
Method Name: generate
Project Name: facebookresearch/pytext
Commit Name: 22cb76a3479ceba89addb1f467c2dd573cb29026
Time: 2021-02-16
Author: mikekg@fb.com
File Name: pytext/torchscript/module.py
Class Name: ScriptPyTextModuleWithDense
Method Name: forward