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The TF version of GAN metrics, e.g. IS, FID, are using 10000 samples, while sampleSize==2000 in the demo.
The setting of "sampleSize==10000" may cause out of memory problem, as dozens of GB mem is requested by "metrics.py".
Could the code used to reproduce the "sampleSize==10000" experiments as TF version does?
Thanks for your great work.
The text was updated successfully, but these errors were encountered:
The TF version of GAN metrics, e.g. IS, FID, are using 10000 samples, while sampleSize==2000 in the demo.
The setting of "sampleSize==10000" may cause out of memory problem, as dozens of GB mem is requested by "metrics.py".
Could the code used to reproduce the "sampleSize==10000" experiments as TF version does?
Thanks for your great work.
The text was updated successfully, but these errors were encountered: