Comments (1)
swami1995
commented on September 26, 2024
Hi, I'm sorry for taking this long to reply.
I'm frankly speaking not sure what's causing this in your case. I just ran these experiments multiple times and it is converging to produce meaningful generations. One way to test if everything at your end is working properly is to check if increasing the dataset size gradually and training produces better results. Hope that helps.
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Related Issues (8)
- Some questions about the project HOT 1
- Mode Collapse for toy dataset? HOT 2
- fixed batch size HOT 3
- generating same sample HOT 1
- TypeError: ('An update must have the same type as the original shared variable (shared_var=W, shared_var.type=GpuArrayType<None>(float32, (False, True, False, False)), update_val=Elemwise{sub,no_inplace}.0, update_val.type=TensorType(float32, 4D)).', 'If the difference is related to the broadcast pattern, you can call the tensor.unbroadcast(var, axis_to_unbroadcast[, ...]) function to remove broadcastable dimensions.')
- Latent Space HOT 5
- how to use cpu to train for deli_gan
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