InvalidArgumentError (siehe oben für Traceback): Sie müssen einen Wert für Platzhalter Tensor 'Placeholder_2' füttern mit dtype Schwimmer

Question

Also für den folgenden Code:

with tf.Session() as sess: 
    sess.run(tf.global_variables_initializer()) 
    for i in range(2000): 
     batch = mnist.train.next_batch(50) 
     if i % 100 == 0: 
      train_accuracy = accuracy.eval(feed_dict={x: batch[0], y_: batch[1]}) 
      print('step %d, training accuracy %g' % (i, train_accuracy)) 
     train_step.run(feed_dict={x: batch[0], y_: batch[1]}) 

    print('test accuracy %g' % accuracy.eval(feed_dict={x: mnist.test.images, y_: mnist.test.labels})) 

ich diesen Fehler:

--------------------------------------------------------------------------- 
InvalidArgumentError      Traceback (most recent call last) 
~/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args) 
    1326  try: 
-> 1327  return fn(*args) 
    1328  except errors.OpError as e: 

~/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata) 
    1305         feed_dict, fetch_list, target_list, 
-> 1306         status, run_metadata) 
    1307 

~/anaconda/lib/python3.6/contextlib.py in __exit__(self, type, value, traceback) 
    87    try: 
---> 88     next(self.gen) 
    89    except StopIteration: 

~/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py in raise_exception_on_not_ok_status() 
    465   compat.as_text(pywrap_tensorflow.TF_Message(status)), 
--> 466   pywrap_tensorflow.TF_GetCode(status)) 
    467 finally: 

InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_2' with dtype float 
    [[Node: Placeholder_2 = Placeholder[dtype=DT_FLOAT, shape=<unknown>, _device="/job:localhost/replica:0/task:0/cpu:0"]()]] 

During handling of the above exception, another exception occurred: 

InvalidArgumentError      Traceback (most recent call last) 
<ipython-input-15-4f0f48e885d9> in <module>() 
     4   batch = mnist.train.next_batch(50) 
     5   if i % 100 == 0: 
----> 6    train_accuracy = accuracy.eval(feed_dict={x: batch[0], y_: batch[1]}) 
     7    print('step %d, training accuracy %g' % (i, train_accuracy)) 
     8   train_step.run(feed_dict={x: batch[0], y_: batch[1]}) 

~/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in eval(self, feed_dict, session) 
    539 
    540  """ 
--> 541  return _eval_using_default_session(self, feed_dict, self.graph, session) 
    542 
    543 

~/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in _eval_using_default_session(tensors, feed_dict, graph, session) 
    4083      "the tensor's graph is different from the session's " 
    4084      "graph.") 
-> 4085 return session.run(tensors, feed_dict) 
    4086 
    4087 

~/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata) 
    893  try: 
    894  result = self._run(None, fetches, feed_dict, options_ptr, 
--> 895       run_metadata_ptr) 
    896  if run_metadata: 
    897   proto_data = tf_session.TF_GetBuffer(run_metadata_ptr) 

~/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata) 
    1122  if final_fetches or final_targets or (handle and feed_dict_tensor): 
    1123  results = self._do_run(handle, final_targets, final_fetches, 
-> 1124        feed_dict_tensor, options, run_metadata) 
    1125  else: 
    1126  results = [] 

~/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata) 
    1319  if handle is None: 
    1320  return self._do_call(_run_fn, self._session, feeds, fetches, targets, 
-> 1321       options, run_metadata) 
    1322  else: 
    1323  return self._do_call(_prun_fn, self._session, handle, feeds, fetches) 

~/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args) 
    1338   except KeyError: 
    1339   pass 
-> 1340  raise type(e)(node_def, op, message) 
    1341 
    1342 def _extend_graph(self): 

InvalidArgumentError: You must feed a value for placeholder tensor 'Placeholder_2' with dtype float 
    [[Node: Placeholder_2 = Placeholder[dtype=DT_FLOAT, shape=<unknown>, _device="/job:localhost/replica:0/task:0/cpu:0"]()]] 

Caused by op 'Placeholder_2', defined at: 
    File "/Users/mona/anaconda/lib/python3.6/runpy.py", line 193, in _run_module_as_main 
    "__main__", mod_spec) 
    File "/Users/mona/anaconda/lib/python3.6/runpy.py", line 85, in _run_code 
    exec(code, run_globals) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/ipykernel_launcher.py", line 16, in <module> 
    app.launch_new_instance() 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/traitlets/config/application.py", line 658, in launch_instance 
    app.start() 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/ipykernel/kernelapp.py", line 477, in start 
    ioloop.IOLoop.instance().start() 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/zmq/eventloop/ioloop.py", line 177, in start 
    super(ZMQIOLoop, self).start() 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/tornado/ioloop.py", line 888, in start 
    handler_func(fd_obj, events) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper 
    return fn(*args, **kwargs) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events 
    self._handle_recv() 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv 
    self._run_callback(callback, msg) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback 
    callback(*args, **kwargs) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/tornado/stack_context.py", line 277, in null_wrapper 
    return fn(*args, **kwargs) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher 
    return self.dispatch_shell(stream, msg) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell 
    handler(stream, idents, msg) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/ipykernel/kernelbase.py", line 399, in execute_request 
    user_expressions, allow_stdin) 
    File "/Users/mona/anaconda/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/mona/anaconda/lib/python3.6/site-packages/ipykernel/zmqshell.py", line 533, in run_cell 
    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2698, in run_cell 
    interactivity=interactivity, compiler=compiler, result=result) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2802, in run_ast_nodes 
    if self.run_code(code, result): 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2862, in run_code 
    exec(code_obj, self.user_global_ns, self.user_ns) 
    File "<ipython-input-4-a02fa3deb1c0>", line 11, in <module> 
    y_conv = deepnn(x) 
    File "<ipython-input-3-36fb872ab440>", line 59, in deepnn 
    keep_prob = tf.placeholder(tf.float32) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1548, in placeholder 
    return gen_array_ops._placeholder(dtype=dtype, shape=shape, name=name) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 2094, in _placeholder 
    name=name) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op 
    op_def=op_def) 
    File "/Users/mona/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op 
    original_op=self._default_original_op, op_def=op_def) 
    File "/Users/mona/anaconda/lib/python3.6/site-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): You must feed a value for placeholder tensor 'Placeholder_2' with dtype float 
    [[Node: Placeholder_2 = Placeholder[dtype=DT_FLOAT, shape=<unknown>, _device="/job:localhost/replica:0/task:0/cpu:0"]()]] 

Wie kann ich diesen Fehler beheben und beheben?

Answer 1

Angenommen, Placeholder_2 ist die Ziffer Etikett, seine Form ist <unknown> wie in der Fehlermeldung erwähnt. Die Form dieses Platzhalters sollte [Keine, 10] sein, wobei None die Chargennummer und 10 für die Anzahl der Klassen darstellt.

Erstellen Sie den Platzhalter wie:

y = tf.placeholder(tf.float32, shape=[None, 10]) und Sie sollten in Ordnung sein.