Comments (2)
The self-attention encoder you've added in gqn_encoder.py looks neat. Can you send me a pull request for that on the attention_encoder branch?
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@ogroth, thanks. I created a pull request with just the self-attention encoder in this pull request:
I was wondering if you might be interested in a separate pull request against master with the limited training flags, --train_subset, from the branch above as well?
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Related Issues (20)
- Cannot reproduce visualization from snapshots HOT 28
- TypeError: Can't instantiate abstract class GQNTFRecordDataset with abstract methods _inputs HOT 3
- Question about pack_context function HOT 2
- data format
- AttributeError: 'GQNTFRecordDataset' object has no attribute '_graph_attr' HOT 2
- Training GQN with different dataset HOT 1
- GQN trained on CLEVR dataset HOT 10
- eval_summary_hook error HOT 2
- Dataset
- how many step we need
- how many train step we need HOT 2
- It stays in local minimum and never goes down HOT 1
- Here is why the loss stays in local minimum ... HOT 3
- How to train using multi-GPU HOT 1
- Gradient flowing between inference_cell and generator_cell
- Does it run on Windows? HOT 1
- KernelRestarter: restarting kernel (1/5), keep random ports HOT 2
- How can I get the right result?
- ERROR:tensorflow:Model diverged with loss = NaN
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