With a lot of elbow grease, mayyyyybe. We're currently using 128 filters, 20 residual layers, whereas LZ is using a smaller network size. Our networks would hav

With a lot of elbow grease, mayyyyybe. We're currently using 128 filters, 20 residual layers, whereas LZ is using a smaller network size. Our networks would have had to define their batchnorm layers exactly the same way for the model files to be compatible, and it would also require a lot of op renaming for the model load operation to work correctly.