Comments (1)
This seems like a problem due to using too many LSTM cells, and iterations for the system to fit into the memory of my GPU card.
I've tried experiments with encoders and decoders using 128 LSTM cells, 10 iterations, and latent dimension dim(z)=50, and they were fine, up to 67 epochs when I ran out of memory.
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Related Issues (20)
- Readme Dependencies should only link to Blocks install HOT 1
- Unable to satisfy dependencies HOT 3
- Normalize tfd and mnist datasets
- Maximum recursion depth in Checkpoint. HOT 2
- AttributeError: 'DrawModel' object has no attribute 'apply' HOT 4
- draw not compatible with latest blocks HOT 2
- error when use plot
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- ImportError: cannot import name AbstractMode HOT 2
- TypeError: __init__() got an unexpected keyword argument 'parameters' HOT 2
- Compilation is failing on cuda HOT 3
- Exploding cell value outputs of the encoder? HOT 9
- incorrect method call to oldmodel in train-draw.py
- Draw the rectangles as the paper
- Error with Blocks-0.2.0
- NLL bound high? HOT 3
- Bokeh error - cannot get train-draw.py to run? HOT 1
- Question on how you initialize and update states ? HOT 1
- Hyper parameter settings
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