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In [1]:



    


import tensorflow as tf

# Remove the previous weights and bias
tf.reset_default_graph()

save_file = './models/model_names.ckpt'

# Two Tensor Variables: weights and bias
weights = tf.Variable(tf.truncated_normal([2, 3]))
bias = tf.Variable(tf.truncated_normal([3]))

saver = tf.train.Saver()

# Print the name of Weights and Bias
print('Save Weights: {}'.format(weights.name))
print('Save Bias: {}'.format(bias.name))

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    saver.save(sess, save_file)

# Remove the previous weights and bias
tf.reset_default_graph()

# Two Variables: weights and bias
bias = tf.Variable(tf.truncated_normal([3]))
weights = tf.Variable(tf.truncated_normal([2, 3]))

saver = tf.train.Saver()

# Print the name of Weights and Bias
print('Load Weights: {}'.format(weights.name))
print('Load Bias: {}'.format(bias.name))

with tf.Session() as sess:
    # Load the weights and bias - ERROR
    saver.restore(sess, save_file)



    


















    






Save Weights: Variable:0
Save Bias: Variable_1:0
Load Weights: Variable_1:0
Load Bias: Variable:0










    






---------------------------------------------------------------------------
InvalidArgumentError                      Traceback (most recent call last)
/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
   1021     try:
-> 1022       return fn(*args)
   1023     except errors.OpError as e:

/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
   1003                                  feed_dict, fetch_list, target_list,
-> 1004                                  status, run_metadata)
   1005 

/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/contextlib.py in __exit__(self, type, value, traceback)
     88             try:
---> 89                 next(self.gen)
     90             except StopIteration:

/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py in raise_exception_on_not_ok_status()
    468           compat.as_text(pywrap_tensorflow.TF_Message(status)),
--> 469           pywrap_tensorflow.TF_GetCode(status))
    470   finally:

InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [2,3] rhs shape= [3]
	 [[Node: save/Assign_1 = Assign[T=DT_FLOAT, _class=["loc:@Variable_1"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](Variable_1, save/RestoreV2_1)]]

During handling of the above exception, another exception occurred:

InvalidArgumentError                      Traceback (most recent call last)
<ipython-input-1-d94eea5359cf> in <module>()
     35 with tf.Session() as sess:
     36     # Load the weights and bias - ERROR
---> 37     saver.restore(sess, save_file)

/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/training/saver.py in restore(self, sess, save_path)
   1437       return
   1438     sess.run(self.saver_def.restore_op_name,
-> 1439              {self.saver_def.filename_tensor_name: save_path})
   1440 
   1441   @staticmethod

/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata)
    765     try:
    766       result = self._run(None, fetches, feed_dict, options_ptr,
--> 767                          run_metadata_ptr)
    768       if run_metadata:
    769         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
    963     if final_fetches or final_targets:
    964       results = self._do_run(handle, final_targets, final_fetches,
--> 965                              feed_dict_string, options, run_metadata)
    966     else:
    967       results = []

/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
   1013     if handle is None:
   1014       return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1015                            target_list, options, run_metadata)
   1016     else:
   1017       return self._do_call(_prun_fn, self._session, handle, feed_dict,

/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args)
   1033         except KeyError:
   1034           pass
-> 1035       raise type(e)(node_def, op, message)
   1036 
   1037   def _extend_graph(self):

InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [2,3] rhs shape= [3]
	 [[Node: save/Assign_1 = Assign[T=DT_FLOAT, _class=["loc:@Variable_1"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](Variable_1, save/RestoreV2_1)]]

Caused by op 'save/Assign_1', defined at:
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/ipykernel/__main__.py", line 3, in <module>
    app.launch_new_instance()
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/traitlets/config/application.py", line 658, in launch_instance
    app.start()
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 474, in start
    ioloop.IOLoop.instance().start()
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/zmq/eventloop/ioloop.py", line 177, in start
    super(ZMQIOLoop, self).start()
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tornado/ioloop.py", line 887, in start
    handler_func(fd_obj, events)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tornado/stack_context.py", line 275, in null_wrapper
    return fn(*args, **kwargs)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events
    self._handle_recv()
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv
    self._run_callback(callback, msg)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback
    callback(*args, **kwargs)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tornado/stack_context.py", line 275, in null_wrapper
    return fn(*args, **kwargs)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 276, in dispatcher
    return self.dispatch_shell(stream, msg)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell
    handler(stream, idents, msg)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 390, in execute_request
    user_expressions, allow_stdin)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/ipykernel/ipkernel.py", line 196, in do_execute
    res = shell.run_cell(code, store_history=store_history, silent=silent)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/ipykernel/zmqshell.py", line 501, in run_cell
    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2717, in run_cell
    interactivity=interactivity, compiler=compiler, result=result)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2821, in run_ast_nodes
    if self.run_code(code, result):
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2881, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-1-d94eea5359cf>", line 29, in <module>
    saver = tf.train.Saver()
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1051, in __init__
    self.build()
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1081, in build
    restore_sequentially=self._restore_sequentially)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 675, in build
    restore_sequentially, reshape)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 414, in _AddRestoreOps
    assign_ops.append(saveable.restore(tensors, shapes))
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 155, in restore
    self.op.get_shape().is_fully_defined())
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/ops/gen_state_ops.py", line 47, in assign
    use_locking=use_locking, name=name)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 763, in apply_op
    op_def=op_def)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2395, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "/Users/darienmt/miniconda3/envs/IntroToTensorFlow/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1264, in __init__
    self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [2,3] rhs shape= [3]
	 [[Node: save/Assign_1 = Assign[T=DT_FLOAT, _class=["loc:@Variable_1"], use_locking=true, validate_shape=true, _device="/job:localhost/replica:0/task:0/cpu:0"](Variable_1, save/RestoreV2_1)]]

The error happens because the names are different.

That is why: Assign requires shapes of both tensors to match. lhs shape= [2,3] rhs shape= [3]





In [2]:



    


tf.reset_default_graph()

save_file = './models/model_names.ckpt'

# Two Tensor Variables: weights and bias
weights = tf.Variable(tf.truncated_normal([2, 3]), name='weights_0')
bias = tf.Variable(tf.truncated_normal([3]), name='bias_0')

saver = tf.train.Saver()

# Print the name of Weights and Bias
print('Save Weights: {}'.format(weights.name))
print('Save Bias: {}'.format(bias.name))

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    saver.save(sess, save_file)

# Remove the previous weights and bias
tf.reset_default_graph()

# Two Variables: weights and bias
bias = tf.Variable(tf.truncated_normal([3]), name='bias_0')
weights = tf.Variable(tf.truncated_normal([2, 3]) ,name='weights_0')

saver = tf.train.Saver()

# Print the name of Weights and Bias
print('Load Weights: {}'.format(weights.name))
print('Load Bias: {}'.format(bias.name))

with tf.Session() as sess:
    # Load the weights and bias - No Error
    saver.restore(sess, save_file)

print('Loaded Weights and Bias successfully.')



    


















    






Save Weights: weights_0:0
Save Bias: bias_0:0
Load Weights: weights_0:0
Load Bias: bias_0:0
Loaded Weights and Bias successfully.

















In [ ]:

Content source: darienmt/intro-to-tensorflow

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