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2026-03-27 15:14:23.038334: 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`.
2026-03-27 15:14:23.061742: 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
2026-03-27 15:14:23.061828: 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.
2026-03-27 15:14:30.816713: 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.
2026-03-27 15:14:30.882778: E tensorflow/stream_executor/cuda/cuda_driver.cc:271] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected
2026-03-27 15:14:30.882918: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: 58da3b71d0d102c97ed081cf3f42d037-taskrole1-0
2026-03-27 15:14:30.882962: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: 58da3b71d0d102c97ed081cf3f42d037-taskrole1-0
2026-03-27 15:14:30.883135: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:200] libcuda reported version is: 580.82.7
2026-03-27 15:14:30.883186: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:204] kernel reported version is: 580.82.7
2026-03-27 15:14:30.883219: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:310] kernel version seems to match DSO: 580.82.7
2026-03-27 15:14:31.395883: 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...
0%| | 0/1 [00:00<?, ?it/s]2026-03-27 15:14:32.318003: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:354] MLIR V1 optimization pass is not enabled
100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:01<00:00, 1.48s/it] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1/1 [00:01<00:00, 1.48s/it]
computing reference batch activations...
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computing/reading reference batch statistics...
computing sample batch activations...
0%| | 0/2 [00:00<?, ?it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 1/2 [00:01<00:01, 1.10s/it] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 2/2 [00:01<00:00, 1.23it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 2/2 [00:01<00:00, 1.17it/s]
fid_custom.py:31: UserWarning: mid matrix contains NaN/Inf; returning NaN for Tr(sqrt(M))
warnings.warn("mid matrix contains NaN/Inf; returning NaN for Tr(sqrt(M))")
computing/reading sample batch statistics...
Computing custom FID...
FID(custom): nan
Saved report to /gemini/space/zhaozy/guzhenyu/UAVFlow/UAV_Flow_base/exps/jsflow-experiment/samples/fid_custom_0.5.txt