Update config.py

[Christiansjpark]

[aashana94]

I am trying to run metrics using the original implementation of Progressive Growing of GAN by tkarras but I am not able to, has anyone any luck? or can help me with it? For FID I get - AttributeError: module 'metrics' has no attribute 'frechet_inception_distance' For IS i get - ValueError: Shape must be rank 2 but is rank 1 for 'MatMul' (op: 'MatMul') with input shapes: [2048], [2048,1008]. For SWD I get - Reals 2020-10-17 00:53:29.475687: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile. For SSIM I get an Assertion error.

https://github.com/tkarras/progressive_growing_of_gans