eval_0.5.log

2026-03-24 20:39:47.455715: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2026-03-24 20:39:47.470493: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.10/dist-packages/torch/lib:/usr/local/lib/python3.10/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
2026-03-24 20:39:47.470574: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
2026-03-24 20:39:54.926161: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F AVX512_VNNI AVX512_BF16 AVX_VNNI AMX_TILE AMX_INT8 AMX_BF16 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2026-03-24 20:39:54.991132: E tensorflow/stream_executor/cuda/cuda_driver.cc:271] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
2026-03-24 20:39:54.991236: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: 24c964746905d416ce09d045f9a06f23-taskrole1-0
2026-03-24 20:39:54.991263: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: 24c964746905d416ce09d045f9a06f23-taskrole1-0
2026-03-24 20:39:54.991409: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:200] libcuda reported version is: 580.82.7
2026-03-24 20:39:54.991441: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:204] kernel reported version is: 580.82.7
2026-03-24 20:39:54.991459: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:310] kernel version seems to match DSO: 580.82.7
2026-03-24 20:39:55.502216: W tensorflow/core/framework/op_def_util.cc:371] Op BatchNormWithGlobalNormalization is deprecated. It will cease to work in GraphDef version 9. Use tf.nn.batch_normalization().
warming up TensorFlow...

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computing/reading reference batch statistics...
computing sample batch activations...

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computing/reading sample batch statistics...
Computing evaluations...
Traceback (most recent call last):
  File "evaluator.py", line 683, in <module>
    main()
  File "evaluator.py", line 71, in main
    FID = sample_stats.frechet_distance(ref_stats)
  File "evaluator.py", line 140, in frechet_distance
    raise ValueError("Imaginary component {}".format(m))
ValueError: Imaginary component 0.046318834721957025