Comments (1)
Thanks for your interest! I've not seen this error before. Some things to check:
-
Did you run the text embedding preprocessing script?
-
Does the file
'/home/mbzuaiser/gill/data/training/01963207---stock-photo-an-brazil-road-pare-stop-sign-with-a-sky-background-and-copy-space-for-your-message-110146604.jpg.npy'
exist? Can you open it by running
with open('/home/mbzuaiser/gill/data/training/01963207---stock-photo-an-brazil-road-pare-stop-sign-with-a-sky-background-and-copy-space-for-your-message-110146604.jpg.npy', 'rb') as f:
data = np.load(f, allow_pickle=True)
or does it cause an error?
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Related Issues (20)
- Clarification on precomputing the visual embeddings HOT 1
- How to get cc3m_embeddings HOT 1
- About the running log HOT 4
- Normalization of cc3m features HOT 1
- How could this affect the performance? HOT 10
- About error when running Precomputing Text Embeddings and Train HOT 2
- shape mismatch in the example notebook HOT 2
- [solved]
- why don't you use universal representation in one task?
- GILL Image Retrieval Code on VIST HOT 1
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- Visdial相关问题
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- RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
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