Comments (2)
What's your use case?
If your data is just spread over two different files, you could concatenate the batches together after loading into tensorflow:
truth_batch, data_batch = tf.concat([truth_batch1, truth_batch2], axis=0), tf.concat([data_batch1, data_batch2], axis=0)
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Thanks, that would work!
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Related Issues (14)
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