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I had used 'voc_to_tfrecords.py' to generate TFRecords files. When I ran train.py, program would execute to final_loss = slim.learning.train(train_op, logdir=FLAGS.train_dir, summary_op=summary_op, global_step=global_step, number_of_steps=FLAGS.max_number_of_steps, log_every_n_steps=FLAGS.log_every_n_steps, save_summaries_secs=FLAGS.save_summaries_secs, save_interval_secs=FLAGS.save_interval_secs, session_config=sess_config)
but there was no any other response. The finial output:
2018-04-09 23:30:22.075853: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-04-09 23:30:22.076488: W C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-09 23:30:23.258749: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:955] Found device 0 with properties:
name: GeForce GTX 1080 Ti
major: 6 minor: 1 memoryClockRate (GHz) 1.582
pciBusID 0000:03:00.0
Total memory: 11.00GiB
Free memory: 10.57GiB
2018-04-09 23:30:23.259356: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:976] DMA: 0
2018-04-09 23:30:23.259632: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:986] 0: Y
2018-04-09 23:30:23.259976: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\35\tensorflow\core\common_runtime\gpu\gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:03:00.0)
Then no more output and the program was not over...
The text was updated successfully, but these errors were encountered:
I had used 'voc_to_tfrecords.py' to generate TFRecords files. When I ran train.py, program would execute to
final_loss = slim.learning.train(train_op, logdir=FLAGS.train_dir, summary_op=summary_op, global_step=global_step, number_of_steps=FLAGS.max_number_of_steps, log_every_n_steps=FLAGS.log_every_n_steps, save_summaries_secs=FLAGS.save_summaries_secs, save_interval_secs=FLAGS.save_interval_secs, session_config=sess_config)
but there was no any other response. The finial output:
Then no more output and the program was not over...
The text was updated successfully, but these errors were encountered: