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  1. giacomo@isi-raptor01:~/OR/models/research/object_detection$ python legacy/eval.py --logtostderr --pipeline_config_path=training/embedded_ssd_mobilenet_v1_coco.config --checkpoint_dir=images/train --eval_dir=images/test
  2. WARNING:tensorflow:From /usr/local/lib/python3.4/dist-packages/tensorflow/python/platform/app.py:126: main (from __main__) is deprecated and will be removed in a future version.
  3. Instructions for updating:
  4. Use object_detection/model_main.py.
  5. INFO:tensorflow:depth of additional conv before box predictor: 0
  6. INFO:tensorflow:depth of additional conv before box predictor: 0
  7. INFO:tensorflow:depth of additional conv before box predictor: 0
  8. INFO:tensorflow:depth of additional conv before box predictor: 0
  9. INFO:tensorflow:depth of additional conv before box predictor: 0
  10. 2018-07-20 20:01:14.752112: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 0 with properties:
  11. name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.683
  12. pciBusID: 0000:02:00.0
  13. totalMemory: 10.92GiB freeMemory: 266.50MiB
  14. 2018-07-20 20:01:14.937496: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1356] Found device 1 with properties:
  15. name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.683
  16. pciBusID: 0000:42:00.0
  17. totalMemory: 10.92GiB freeMemory: 388.50MiB
  18. 2018-07-20 20:01:14.937600: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1435] Adding visible gpu devices: 0, 1
  19. 2018-07-20 20:01:15.677082: I tensorflow/core/common_runtime/gpu/gpu_device.cc:923] Device interconnect StreamExecutor with strength 1 edge matrix:
  20. 2018-07-20 20:01:15.677150: I tensorflow/core/common_runtime/gpu/gpu_device.cc:929] 0 1
  21. 2018-07-20 20:01:15.677164: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 0: N N
  22. 2018-07-20 20:01:15.677177: I tensorflow/core/common_runtime/gpu/gpu_device.cc:942] 1: N N
  23. 2018-07-20 20:01:15.677490: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 210 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:02:00.0, compute capability: 6.1)
  24. 2018-07-20 20:01:15.678777: E tensorflow/stream_executor/cuda/cuda_driver.cc:936] failed to allocate 210.50M (220725248 bytes) from device: CUDA_ERROR_OUT_OF_MEMORY
  25. 2018-07-20 20:01:15.682114: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1053] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 107 MB memory) -> physical GPU (device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:42:00.0, compute capability: 6.1)
  26. INFO:tensorflow:Restoring parameters from images/train/model.ckpt-2600
  27. INFO:tensorflow:Restoring parameters from images/train/model.ckpt-2600
  28. 2018-07-20 20:01:17.720005: E tensorflow/stream_executor/cuda/cuda_dnn.cc:455] could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
  29. 2018-07-20 20:01:17.720073: F tensorflow/core/kernels/conv_ops.cc:713] Check failed: stream->parent()->GetConvolveAlgorithms( conv_parameters.ShouldIncludeWinogradNonfusedAlgo<T>(), &algorithms)
  30. Annullato
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