Comments (2)
@mwang87 would definitely be curious to hear more of your thoughts on this.
Right now, all of the data is being loaded on the GPU to avoid data transferring (see this line.
This isn't ideal for very large datasets. I have a DataLoader built in pytorch that can handle larger datasets. But given that we are supporting tensorflow in the first version - I wonder how easy this would be to fix here.
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Personally have not done straight TF, in Keras you can incrementally define batches to shoot over to GPU.
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