pretrained-models
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🐛 Bug
File "/home/ubuntu/vqa/GMN/mmf/mmf/datasets/builders/visual_genome/dataset.py", line 44, in init
scene_graph_file = self._get_absolute_path(scene_graph_file)
AttributeError: 'VisualGenomeDataset' object has no attribute '_get_absolute_path'
Command that i run in shell
CUDA_VISIBLE_DEVICES="0" mmf_run config=projects/gmn/configs/visual_genome/defaults.yaml model=gm
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Hi
when I do classification with the pretrained vggface2 model, how do I match a probability to a name? do you have a list of labels for the trained model?
Thanks
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关于一些具体建议
1.希望可以把底层的api文档再完善一些,比如encoder,decoder,以便于复现一些论文
2.希望可以维护一个pytorch和paddle的api对照一览表,尽量全一些
3.错误日志能否准确一些,有时候datalaoder出的一些错误信息不好定位
4.能否增加使用梯度累加特性,进一步提高batch size
预训练模型下载地址修改
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when printing these objects we do not see informative content.
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Bug in RTD build
The Mock object shouldn't be there..
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Add better error message to
HubertForCTC
,Wav2Vec2ForCTC
if labels are bigger than vocab size.Motivation
Following this issue: huggingface/transformers#12264 it is clear that an error message should be thrown if any of the any of the labels are >
self.config.vocab_size
or else silent errors can sneak into the training script.So w