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pretrained-models

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transformers
Anth0nyWu
Anth0nyWu commented Nov 10, 2020

🐛 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

myboyliu
myboyliu commented Jun 25, 2021

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

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

  • Updated Jul 17, 2021
  • Python

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