Description
WARNING:tensorflow:From C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\contrib\learn\python\learn\datasets\base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.
Instructions for updating:
Use the retry module or similar alternatives.
WARNING:tensorflow:From F:\models\research\object_detection\trainer.py:176: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.create_global_step
WARNING:tensorflow:From F:\models\research\object_detection\builders\optimizer_builder.py:92: get_or_create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.get_or_create_global_step
INFO:tensorflow:Summary name Learning Rate is illegal; using Learning_Rate instead.
WARNING:tensorflow:From F:\models\research\object_detection\meta_architectures\ssd_meta_arch.py:607: all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Please use tf.global_variables instead.
INFO:tensorflow:Summary name /clone_loss is illegal; using clone_loss instead.
WARNING:tensorflow:From C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\contrib\slim\python\slim\learning.py:736: Supervisor.init (from tensorflow.python.training.supervisor) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.MonitoredTrainingSession
INFO:tensorflow:Restoring parameters from ssd_mobilenet_v1_coco_2018_01_28/model.ckpt
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Starting Session.
INFO:tensorflow:Saving checkpoint to path training/model.ckpt
INFO:tensorflow:Starting Queues.
INFO:tensorflow:global_step/sec: 0
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.InvalidArgumentError'>, NewRandomAccessFile failed to Create/Open: F:\modesearch\object_detection\data rain.record : The filename, directory name, or volume label syntax is incorrect.
; Unknown error
[[Node: parallel_read/ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/device:CPU:0"](parallel_read/TFRecordReaderV2, parallel_read/filenames)]]
INFO:tensorflow:Caught OutOfRangeError. Stopping Training. FIFOQueue '_2_prefetch_queue' is closed and has insufficient elements (requested 1, current size 0)
[[Node: prefetch_queue_Dequeue = QueueDequeueV2component_types=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, ..., DT_INT32, DT_STRING, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
Caused by op 'prefetch_queue_Dequeue', defined at:
File "train.py", line 198, in
tf.app.run()
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run
_sys.exit(main(argv))
File "train.py", line 194, in main
worker_job_name, is_chief, FLAGS.train_dir)
File "F:\models\research\object_detection\trainer.py", line 192, in train
clones = model_deploy.create_clones(deploy_config, model_fn, [input_queue])
File "F:\models\research\slim\deployment\model_deploy.py", line 193, in create_clones
outputs = model_fn(*args, **kwargs)
File "F:\models\research\object_detection\trainer.py", line 122, in _create_losses
) = _get_inputs(input_queue, detection_model.num_classes)
File "F:\models\research\object_detection\trainer.py", line 97, in _get_inputs
read_data_list = input_queue.dequeue()
File "F:\models\research\object_detection\core\batcher.py", line 111, in dequeue
batched_tensors = self._queue.dequeue()
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\data_flow_ops.py", line 440, in dequeue
self._queue_ref, self._dtypes, name=name)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\ops\gen_data_flow_ops.py", line 4092, in queue_dequeue_v2
timeout_ms=timeout_ms, name=name)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 3290, in create_op
op_def=op_def)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\ops.py", line 1654, in init
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
OutOfRangeError (see above for traceback): FIFOQueue '_2_prefetch_queue' is closed and has insufficient elements (requested 1, current size 0)
[[Node: prefetch_queue_Dequeue = QueueDequeueV2component_types=[DT_STRING, DT_INT32, DT_FLOAT, DT_INT32, DT_FLOAT, ..., DT_INT32, DT_STRING, DT_INT32, DT_STRING, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/device:CPU:0"]]
INFO:tensorflow:Finished training! Saving model to disk.
Traceback (most recent call last):
File "train.py", line 198, in
tf.app.run()
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run
_sys.exit(main(argv))
File "train.py", line 194, in main
worker_job_name, is_chief, FLAGS.train_dir)
File "F:\models\research\object_detection\trainer.py", line 296, in train
saver=saver)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\contrib\slim\python\slim\learning.py", line 784, in train
ignore_live_threads=ignore_live_threads)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\supervisor.py", line 828, in stop
ignore_live_threads=ignore_live_threads)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\coordinator.py", line 389, in join
six.reraise(*self._exc_info_to_raise)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\six.py", line 693, in reraise
raise value
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\training\queue_runner_impl.py", line 252, in _run
enqueue_callable()
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1249, in _single_operation_run
self._call_tf_sessionrun(None, {}, [], target_list, None)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\client\session.py", line 1420, in _call_tf_sessionrun
status, run_metadata)
File "C:\Users\Pratik\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 516, in exit
c_api.TF_GetCode(self.status.status))
esearch\object_detection\data rain.record : The filename, directory name, or volume label syntax is incorrect.ls
; Unknown error
[[Node: parallel_read/ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/device:CPU:0"](parallel_read/TFRecordReaderV2, parallel_read/filenames)]]