Name conflict: tensorflow.contrib.slim vs tf_slim

WARNING:tensorflow:From /home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow_core/python/ops/losses/losses_impl.py:121: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From <ipython-input-6-6bec913f2e40>:16: get_total_loss (from tf_slim.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.get_total_loss instead.
WARNING:tensorflow:From /home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tf_slim/losses/loss_ops.py:236: get_losses (from tf_slim.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.get_losses instead.
WARNING:tensorflow:From /home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tf_slim/losses/loss_ops.py:238: get_regularization_losses (from tf_slim.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.get_regularization_losses instead.
WARNING:tensorflow:From /home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tf_slim/learning.py:734: 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:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Starting Session.
INFO:tensorflow:Saving checkpoint to path /tmp/regression_model/model.ckpt
INFO:tensorflow:global_step/sec: 0
INFO:tensorflow:Starting Queues.
INFO:tensorflow:global step 499: loss = 0.4413 (0.001 sec/step)
INFO:tensorflow:global step 999: loss = 0.2760 (0.001 sec/step)
INFO:tensorflow:global step 1499: loss = 0.2333 (0.001 sec/step)
INFO:tensorflow:global step 1999: loss = 0.2453 (0.001 sec/step)
INFO:tensorflow:global step 2499: loss = 0.1999 (0.001 sec/step)
INFO:tensorflow:global_step/sec: 547.203
INFO:tensorflow:global step 2999: loss = 0.1675 (0.001 sec/step)
INFO:tensorflow:global step 3499: loss = 0.1778 (0.001 sec/step)
INFO:tensorflow:global step 3999: loss = 0.2127 (0.001 sec/step)
INFO:tensorflow:global step 4499: loss = 0.1784 (0.001 sec/step)
INFO:tensorflow:global step 4999: loss = 0.1660 (0.001 sec/step)
INFO:tensorflow:Stopping Training.
INFO:tensorflow:Finished training! Saving model to disk.
Finished training. Last batch loss: 0.16604608
Checkpoint saved in /tmp/regression_model/
/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow_core/python/summary/writer/writer.py:386: UserWarning: Attempting to use a closed FileWriter. The operation will be a noop unless the FileWriter is explicitly reopened.
  warnings.warn("Attempting to use a closed FileWriter. "

WARNING:tensorflow:From <ipython-input-9-0b551dafa1af>:7: streaming_mean_squared_error (from tf_slim.metrics.metric_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.metrics.mean_squared_error. Note that the order of the labels and predictions arguments has been switched.
WARNING:tensorflow:From <ipython-input-9-0b551dafa1af>:8: streaming_mean_absolute_error (from tf_slim.metrics.metric_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.metrics.mean_absolute_error. Note that the order of the labels and predictions arguments has been switched.
INFO:tensorflow:Restoring parameters from /tmp/regression_model/model.ckpt
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Starting standard services.
INFO:tensorflow:Saving checkpoint to path /tmp/regression_model/model.ckpt
INFO:tensorflow:Starting queue runners.
INFO:tensorflow:Error reported to Coordinator: <class 'TypeError'>, 'module' object is not callable
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-9-0b551dafa1af> in <module>
     16             num_evals=1, # Single pass over data
     17             eval_op=names_to_update_nodes.values(),
---> 18             final_op=names_to_value_nodes.values())
     19 
     20     names_to_values = dict(zip(names_to_value_nodes.keys(), metric_values))

TypeError: 'module' object is not callable

WARNING:tensorflow:From <ipython-input-6-6bec913f2e40>:16: get_total_loss (from tf_slim.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.get_total_loss instead.
WARNING:tensorflow:From /home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tf_slim/losses/loss_ops.py:236: get_losses (from tf_slim.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.get_losses instead.
WARNING:tensorflow:From /home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tf_slim/losses/loss_ops.py:238: get_regularization_losses (from tf_slim.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.get_regularization_losses instead.
WARNING:tensorflow:From /home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tf_slim/learning.py:734: 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:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Starting Session.
INFO:tensorflow:Saving checkpoint to path /tmp/regression_model/model.ckpt
INFO:tensorflow:Error reported to Coordinator: An op outside of the function building code is being passed
a "Graph" tensor. It is possible to have Graph tensors
leak out of the function building context by including a
tf.init_scope in your function building code.
For example, the following function will fail:
  @tf.function
  def has_init_scope():
    my_constant = tf.constant(1.)
    with tf.init_scope():
      added = my_constant * 2
The graph tensor has name: global_step:0
Traceback (most recent call last):
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/gen_resource_variable_ops.py", line 470, in read_variable_op
    tld.op_callbacks, resource, "dtype", dtype)
tensorflow.python.eager.core._FallbackException: This function does not handle the case of the path where all inputs are not already EagerTensors.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/coordinator.py", line 297, in stop_on_exception
    yield
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/coordinator.py", line 485, in run
    self.start_loop()
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/supervisor.py", line 1077, in start_loop
    self._last_step = training_util.global_step(self._sess, self._step_counter)
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/training_util.py", line 67, in global_step
    return int(global_step_tensor.numpy())
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 603, in numpy
    return self.read_value().numpy()
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 666, in read_value
    value = self._read_variable_op()
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 645, in _read_variable_op
    result = read_and_set_handle()
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py", line 636, in read_and_set_handle
    self._dtype)
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/gen_resource_variable_ops.py", line 475, in read_variable_op
    resource, dtype=dtype, name=name, ctx=_ctx)
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/gen_resource_variable_ops.py", line 502, in read_variable_op_eager_fallback
    attrs=_attrs, ctx=ctx, name=name)
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/eager/execute.py", line 75, in quick_execute
    raise e
  File "/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/eager/execute.py", line 60, in quick_execute
    inputs, attrs, num_outputs)
TypeError: An op outside of the function building code is being passed
a "Graph" tensor. It is possible to have Graph tensors
leak out of the function building context by including a
tf.init_scope in your function building code.
For example, the following function will fail:
  @tf.function
  def has_init_scope():
    my_constant = tf.constant(1.)
    with tf.init_scope():
      added = my_constant * 2
The graph tensor has name: global_step:0
INFO:tensorflow:Starting Queues.
INFO:tensorflow:Finished training! Saving model to disk.
/home/username/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/summary/writer/writer.py:388: UserWarning: Attempting to use a closed FileWriter. The operation will be a noop unless the FileWriter is explicitly reopened.
  warnings.warn("Attempting to use a closed FileWriter. "
---------------------------------------------------------------------------
_FallbackException                        Traceback (most recent call last)
~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/gen_resource_variable_ops.py in read_variable_op(resource, dtype, name)
    469         _ctx._context_handle, tld.device_name, "ReadVariableOp", name,
--> 470         tld.op_callbacks, resource, "dtype", dtype)
    471       return _result

_FallbackException: This function does not handle the case of the path where all inputs are not already EagerTensors.

During handling of the above exception, another exception occurred:

TypeError                                 Traceback (most recent call last)
<ipython-input-6-6bec913f2e40> in <module>
     26         number_of_steps=5000,
     27         save_summaries_secs=5,
---> 28         log_every_n_steps=500)
     29 
     30 print("Finished training. Last batch loss:", final_loss)

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tf_slim/learning.py in train(train_op, logdir, train_step_fn, train_step_kwargs, log_every_n_steps, graph, master, is_chief, global_step, number_of_steps, init_op, init_feed_dict, local_init_op, init_fn, ready_op, summary_op, save_summaries_secs, summary_writer, startup_delay_steps, saver, save_interval_secs, sync_optimizer, session_config, session_wrapper, trace_every_n_steps, ignore_live_threads)
    780               threads,
    781               close_summary_writer=True,
--> 782               ignore_live_threads=ignore_live_threads)
    783 
    784     except errors.AbortedError:

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/supervisor.py in stop(self, threads, close_summary_writer, ignore_live_threads)
    837           threads,
    838           stop_grace_period_secs=self._stop_grace_secs,
--> 839           ignore_live_threads=ignore_live_threads)
    840     finally:
    841       # Close the writer last, in case one of the running threads was using it.

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/coordinator.py in join(self, threads, stop_grace_period_secs, ignore_live_threads)
    387       self._registered_threads = set()
    388       if self._exc_info_to_raise:
--> 389         six.reraise(*self._exc_info_to_raise)
    390       elif stragglers:
    391         if ignore_live_threads:

~/tensorflow-slim/.venv/lib/python3.7/site-packages/six.py in reraise(tp, value, tb)
    701             if value.__traceback__ is not tb:
    702                 raise value.with_traceback(tb)
--> 703             raise value
    704         finally:
    705             value = None

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/coordinator.py in stop_on_exception(self)
    295     """
    296     try:
--> 297       yield
    298     except:  # pylint: disable=bare-except
    299       self.request_stop(ex=sys.exc_info())

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/coordinator.py in run(self)
    483   def run(self):
    484     with self._coord.stop_on_exception():
--> 485       self.start_loop()
    486       if self._timer_interval_secs is None:
    487         # Call back-to-back.

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/supervisor.py in start_loop(self)
   1075   def start_loop(self):
   1076     self._last_time = time.time()
-> 1077     self._last_step = training_util.global_step(self._sess, self._step_counter)
   1078 
   1079   def run_loop(self):

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/training/training_util.py in global_step(sess, global_step_tensor)
     65   """
     66   if context.executing_eagerly():
---> 67     return int(global_step_tensor.numpy())
     68   return int(sess.run(global_step_tensor))
     69 

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py in numpy(self)
    601   def numpy(self):
    602     if context.executing_eagerly():
--> 603       return self.read_value().numpy()
    604     raise NotImplementedError(
    605         "numpy() is only available when eager execution is enabled.")

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py in read_value(self)
    664     """
    665     with ops.name_scope("Read"):
--> 666       value = self._read_variable_op()
    667     # Return an identity so it can get placed on whatever device the context
    668     # specifies instead of the device where the variable is.

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py in _read_variable_op(self)
    643           result = read_and_set_handle()
    644     else:
--> 645       result = read_and_set_handle()
    646 
    647     if not context.executing_eagerly():

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/resource_variable_ops.py in read_and_set_handle()
    634     def read_and_set_handle():
    635       result = gen_resource_variable_ops.read_variable_op(self._handle,
--> 636                                                           self._dtype)
    637       _maybe_set_handle_data(self._dtype, self._handle, result)
    638       return result

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/gen_resource_variable_ops.py in read_variable_op(resource, dtype, name)
    473       try:
    474         return read_variable_op_eager_fallback(
--> 475             resource, dtype=dtype, name=name, ctx=_ctx)
    476       except _core._SymbolicException:
    477         pass  # Add nodes to the TensorFlow graph.

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/ops/gen_resource_variable_ops.py in read_variable_op_eager_fallback(resource, dtype, name, ctx)
    500   _attrs = ("dtype", dtype)
    501   _result = _execute.execute(b"ReadVariableOp", 1, inputs=_inputs_flat,
--> 502                              attrs=_attrs, ctx=ctx, name=name)
    503   if _execute.must_record_gradient():
    504     _execute.record_gradient(

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     73           "Inputs to eager execution function cannot be Keras symbolic "
     74           "tensors, but found {}".format(keras_symbolic_tensors))
---> 75     raise e
     76   # pylint: enable=protected-access
     77   return tensors

~/tensorflow-slim/.venv/lib/python3.7/site-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     58     ctx.ensure_initialized()
     59     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
---> 60                                         inputs, attrs, num_outputs)
     61   except core._NotOkStatusException as e:
     62     if name is not None:

TypeError: An op outside of the function building code is being passed
a "Graph" tensor. It is possible to have Graph tensors
leak out of the function building context by including a
tf.init_scope in your function building code.
For example, the following function will fail:
  @tf.function
  def has_init_scope():
    my_constant = tf.constant(1.)
    with tf.init_scope():
      added = my_constant * 2
The graph tensor has name: global_step:0