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- os: Ubuntu 16.04
- gpu: nvidia geforce 1080Ti & 1060
- tensorflow version: 1.3.0
- training model: faster_rcnn_resnet101_coco (although I have tried others)
- Classes: 1
- INFO:tensorflow:global step 363: loss = 1.4006 (0.294 sec/step)
- INFO:tensorflow:Finished training! Saving model to disk.
- Traceback (most recent call last):
- File "object_detection/train.py", line 163, in <module>
- tf.app.run()
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run
- _sys.exit(main(_sys.argv[:1] + flags_passthrough))
- File "object_detection/train.py", line 159, in main
- worker_job_name, is_chief, FLAGS.train_dir)
- File "/home/ucfadng/tensorflow/models/research/object_detection/trainer.py", line 332, in train
- saver=saver)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/contrib/slim/python/slim/learning.py", line 767, in train
- sv.stop(threads, close_summary_writer=True)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/supervisor.py", line 792, in stop
- stop_grace_period_secs=self._stop_grace_secs)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/coordinator.py", line 389, in join
- six.reraise(*self._exc_info_to_raise)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/coordinator.py", line 296, in stop_on_exception
- yield
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/coordinator.py", line 494, in run
- self.run_loop()
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/training/supervisor.py", line 994, in run_loop
- self._sv.global_step])
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 895, in run
- run_metadata_ptr)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1124, in _run
- feed_dict_tensor, options, run_metadata)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1321, in _do_run
- options, run_metadata)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.py", line 1340, in _do_call
- raise type(e)(node_def, op, message)
- tensorflow.python.framework.errors_impl.InvalidArgumentError: Nan in summary histogram for: SecondStageFeatureExtractor/resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma_1
- [[Node: SecondStageFeatureExtractor/resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma_1 = HistogramSummary[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](SecondStageFeatureExtractor/resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma_1/tag, SecondStageFeatureExtractor/resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma/read)]]
- [[Node: Loss/RPNLoss/map/TensorArray_2/_1353 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_5239_Loss/RPNLoss/map/TensorArray_2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
- Caused by op u'SecondStageFeatureExtractor/resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma_1', defined at:
- File "object_detection/train.py", line 163, in <module>
- tf.app.run()
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 48, in run
- _sys.exit(main(_sys.argv[:1] + flags_passthrough))
- File "object_detection/train.py", line 159, in main
- worker_job_name, is_chief, FLAGS.train_dir)
- File "/home/ucfadng/tensorflow/models/research/object_detection/trainer.py", line 295, in train
- global_summaries.add(tf.summary.histogram(model_var.op.name, model_var))
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/summary/summary.py", line 192, in histogram
- tag=tag, values=values, name=scope)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_logging_ops.py", line 129, in _histogram_summary
- name=name)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
- op_def=op_def)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2630, in create_op
- original_op=self._default_original_op, op_def=op_def)
- File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1204, in __init__
- self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
- InvalidArgumentError (see above for traceback): Nan in summary histogram for: SecondStageFeatureExtractor/resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma_1
- [[Node: SecondStageFeatureExtractor/resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma_1 = HistogramSummary[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"](SecondStageFeatureExtractor/resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma_1/tag, SecondStageFeatureExtractor/resnet_v1_101/block4/unit_3/bottleneck_v1/conv3/BatchNorm/gamma/read)]]
- [[Node: Loss/RPNLoss/map/TensorArray_2/_1353 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/gpu:0", send_device="/job:localhost/replica:0/task:0/cpu:0", send_device_incarnation=1, tensor_name="edge_5239_Loss/RPNLoss/map/TensorArray_2", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/gpu:0"]()]]
- item {
- id: 1
- name: 'rail'
- }
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