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see-- / keras-centernet

A Keras implementation of CenterNet with pre-trained model (unofficial)
MIT License
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fails to run in Docker on CPU #20

Closed sezan92 closed 3 years ago

sezan92 commented 4 years ago

Hello , i tried to run keras-centernet , on Docker with cpu . I built Docker image from Ros -melodic docker image. but it gives me following error

Segmentation fault (core dumped)

Full log 

Using TensorFlow backend.
2019-12-06 07:22:42.321627: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-12-06 07:22:42.370633: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3398300000 Hz
2019-12-06 07:22:42.376540: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4622120 executing computations on platform Host. Devices:
2019-12-06 07:22:42.376592: I tensorflow/compiler/xla/service/service.cc:175]   StreamExecutor device (0): <undefined>, <undefined>
2019-12-06 07:22:42.399679: 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.
Segmentation fault (core dumped)
see-- commented 3 years ago

Probably outdated but can't reproduce without you providing more information.