Comments (1)
Ahh my apologies.
When I was trying to train, a set of preloaded weights I removed the memory mapping from the call to np.load(...)
to speed up IO. The docker container (and some laptops too) does not have enough memory to load the features which sits at ~5.9 GB. I've added back the memory map in the most recent commit.
from oreilly-captions.
Related Issues (17)
- AttributeError
- Trying to run on GPU HOT 1
- please how to load the checkpoint on Jupyter? HOT 2
- The kernel appears to have died. It will restart automatically. HOT 1
- Notify someone on an issue with a mention HOT 2
- NotFoundError: Key RNN/basic_lstm_cell/bias not found HOT 1
- TypeError: unorderable types: str() < NoneType()
- Getting just "a" as output for many input images of Flickr30k HOT 1
- KeyError: "The name 'import/Relu_1:0' refers to a Tensor which does not exist. The operation, 'import/Relu_1', does not exist in the graph." HOT 4
- kernel not found in checkpoint HOT 5
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- Running 3. on two images in a row is disallowed HOT 3
- Pretrained weights for oreilly-captions model? HOT 2
- Do we have to use docker? HOT 2
- ValueError: Variable RNN/basic_lstm_cell/weights already exists, disallowed. Did you mean to set reuse=True in VarScope?
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from oreilly-captions.