ERROR Trace Tensorflow

"/home/_/anaconda3/lib/python3.6/site-packages/matplotlib/__init__.py:1405:  UserWarning:
This call to `matplotlib.use()` has no effect because the backend has already
been chosen; `matplotlib.use()` must be called *before* pylab,  matplotlib.pyplot,
or matplotlib.backends is imported for the first time.
  `warnings.warn(_use_error_msg)`
WARNING:tensorflow:Forced number of epochs for all eval validations to be 1.
WARNING:tensorflow:Expected number of evaluation epochs is 1, but instead encountered `eval_on_train_input_config.num_epochs` = 0. Overwriting `num_epochs` to 1.
WARNING:tensorflow:Using temporary folder as model directory: /tmp/tmp3yfanv31
WARNING:tensorflow:Estimator's model_fn (<function create_model_fn.  <locals>.model_fn at 0x7f75f0110730>) includes params argument, but params are not passed to Estimator.
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
WARNING:tensorflow:From ../models/research/object_detection/builders/dataset_builder.py:80: parallel_interleave (from tensorflow.contrib.data.python.ops.interleave_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.experimental.parallel_interleave(...)`.
WARNING:tensorflow:From ../anaconda3/lib/python3.6/site-packages/tensorflow/python/ops/sparse_ops.py:1165: sparse_to_dense (from tensorflow.python.ops.sparse_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Create a `tf.sparse.SparseTensor` and use `tf.sparse.to_dense` instead.
WARNING:tensorflow:From ../models/research/object_detection/core/preprocessor.py:1208: calling squeeze (from tensorflow.python.ops.array_ops) with squeeze_dims is deprecated and will be removed in a future version.
Instructions for updating:
Use the `axis` argument instead
WARNING:tensorflow:From ../tensorflow/models/research/object_detection/builders/dataset_builder.py:148: batch_and_drop_remainder (from tensorflow.contrib.data.python.ops.batching) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.data.Dataset.batch(..., drop_remainder=True)`.
2018-11-29 15:07:21.572864: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Traceback (most recent call last):
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1334, in _do_call
    `return fn(*args)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1319, in `_run_fn
    options, feed_dict, fetch_list, target_list, run_metadata)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1407, `in _call_tf_sessionrun
    run_metadata)`
tensorflow.python.framework.errors_impl.InvalidArgumentError: assertion failed: [Unable to decode bytes as JPEG, PNG, GIF, or BMP]
[[{{node case/cond/cond_jpeg/decode_image/cond_jpeg/cond_png/cond_gif/Assert_1/Assert}} = Assert[T=[DT_STRING], summarize=3, _device="/device:CPU:0"](case/cond/cond_jpeg/decode_image/cond_jpeg/cond_png/cond_gif/is_bmp, case/cond/cond_jpeg/decode_image/cond_jpeg/cond_png/cond_gif/Assert_1/Assert/data_0)]]
[[{{node IteratorGetNext}} = IteratorGetNext[output_shapes=[[12], [12,300,300,3], [12,2], [12,3], [12,100], [12,100,4], [12,100,1], [12,100,1], [12,100], [12,100], [12,100], [12]], output_types=[DT_INT32, DT_FLOAT, DT_INT32, DT_INT32, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_INT32, DT_BOOL, DT_FLOAT, DT_INT32], _device="/job:localhost/replica:0/task:0/device:CPU:0"](IteratorV2)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "model_main.py", line 109, in <module>
    `tf.app.run()`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
    `_sys.exit(main(argv))`
  File "model_main.py", line 105, in main
    `tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0])`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/training.py", line 471, in train_and_evaluate
    `return executor.run()`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/training.py", line 610, in run
    `return self.run_local()`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/training.py", line 711, in run_local
    `saving_listeners=saving_listeners)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 354, in train
    `loss = self._train_model(input_fn, hooks, saving_listeners)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1207, in _train_model
    `return self._train_model_default(input_fn, hooks, saving_listeners)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1241, in `_train_model_default
    saving_listeners)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1471, in _train_with_estimator_spec
    `_, loss = mon_sess.run([estimator_spec.train_op, estimator_spec.loss])`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 671, in run
    `run_metadata=run_metadata)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 1156, in run
    `run_metadata=run_metadata)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 1255, in run
    `raise six.reraise(*original_exc_info)`
  File "../.local/lib/python3.6/site-packages/six.py", line 693, in reraise
    `raise value`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 1240, in run
    `return self._sess.run(*args, **kwargs)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 1312, in run
    `run_metadata=run_metadata)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/training/monitored_session.py", line 1076, in run
    `return self._sess.run(*args, **kwargs)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
    `run_metadata_ptr)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1152, in _run
    `feed_dict_tensor, options, run_metadata)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1328, in _do_run
    `run_metadata)`
  File "../anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1348, in _do_call
    `raise type(e)(node_def, op, message)`
tensorflow.python.framework.errors_impl.InvalidArgumentError: assertion failed: [Unable to decode bytes as JPEG, PNG, GIF, or BMP]
	 [[{{node case/cond/cond_jpeg/decode_image/cond_jpeg/cond_png/cond_gif/Assert_1/Assert}} = Assert[T=[DT_STRING], summarize=3, _device="/device:CPU:0"](case/cond/cond_jpeg/decode_image/cond_jpeg/cond_png/cond_gif/is_bmp, case/cond/cond_jpeg/decode_image/cond_jpeg/cond_png/cond_gif/Assert_1/Assert/data_0)]]
[[node IteratorGetNext (defined at model_main.py:105)  = IteratorGetNext[output_shapes=[[12], [12,300,300,3], [12,2], [12,3], [12,100], [12,100,4], [12,100,1], [12,100,1], [12,100], [12,100], [12,100], [12]], output_types=[DT_INT32, DT_FLOAT, DT_INT32, DT_INT32, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_FLOAT, DT_INT32, DT_BOOL, DT_FLOAT, DT_INT32], _device="/job:localhost/replica:0/task:0/device:CPU:0"](IteratorV2)]]"