title: My TensorFlow code produces an error with the dimensionality of inputs
body: <pre><code>InvalidArgumentError                      Traceback (most recent call last)
  C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
     1321     try:
  -&gt; 1322       return fn(*args)
     1323     except errors.OpError as e:
  
  C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\client\session.py in _run_fn(feed_dict, fetch_list, target_list, options, run_metadata)
     1306       return self._call_tf_sessionrun(
  -&gt; 1307           options, feed_dict, fetch_list, target_list, run_metadata)
     1308 
  
  C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\client\session.py in _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata)
     1408           self._session, options, feed_dict, fetch_list, target_list,
  -&gt; 1409           run_metadata)
     1410     else:
  
  InvalidArgumentError: Tensor must be 4-D with last dim 1, 3, or 4, not [32,32,28,28]
       [[Node: Konvolution1/Konvolution1Bild = ImageSummary[T=DT_FLOAT, bad_color=Tensor&lt;type: uint8 shape: [4] values: 255 0 0...&gt;, max_images=3, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Konvolution1/Konvolution1Bild/tag, Konvolution1/Konvolution1Bild/tensor/_39)]]
  
  During handling of the above exception, another exception occurred:
  
  InvalidArgumentError                      Traceback (most recent call last)
  &lt;ipython-input-8-73b3b51081a0&gt; in &lt;module&gt;()
       18             print(i, 'Trainingsgenauigkeit = ', genau*100,'%', 'verlust = ', verlust)
       19 
  ---&gt; 20             s = sess.run(merged, feed_dict={x:batch_x, y:batch_y, dropoutPH:dropout})
       21             writer.add_summary(s, i)
       22     genauigkeitTest = sess.run(genauigkeitTraining, feed_dict={x:mnist.test.images,y:mnist.test.labels, keep_prob:1.0})
  
  C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata)
      898     try:
      899       result = self._run(None, fetches, feed_dict, options_ptr,
  --&gt; 900                          run_metadata_ptr)
      901       if run_metadata:
      902         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
  
  C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
     1133     if final_fetches or final_targets or (handle and feed_dict_tensor):
     1134       results = self._do_run(handle, final_targets, final_fetches,
  -&gt; 1135                              feed_dict_tensor, options, run_metadata)
     1136     else:
     1137       results = []
  
  C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
     1314     if handle is None:
     1315       return self._do_call(_run_fn, feeds, fetches, targets, options,
  -&gt; 1316                            run_metadata)
     1317     else:
     1318       return self._do_call(_prun_fn, handle, feeds, fetches)
  
  C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
     1333         except KeyError:
     1334           pass
  -&gt; 1335       raise type(e)(node_def, op, message)
     1336 
     1337   def _extend_graph(self):
  
  InvalidArgumentError: Tensor must be 4-D with last dim 1, 3, or 4, not [32,32,28,28]
       [[Node: Konvolution1/Konvolution1Bild = ImageSummary[T=DT_FLOAT, bad_color=Tensor&lt;type: uint8 shape: [4] values: 255 0 0...&gt;, max_images=3, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Konvolution1/Konvolution1Bild/tag, Konvolution1/Konvolution1Bild/tensor/_39)]]
  
  Caused by op 'Konvolution1/Konvolution1Bild', defined at:
    File "C:\Anaconda\envs\Matura\lib\runpy.py", line 193, in _run_module_as_main
      "__main__", mod_spec)
    File "C:\Anaconda\envs\Matura\lib\runpy.py", line 85, in _run_code
      exec(code, run_globals)
    File "C:\Anaconda\envs\Matura\lib\site-packages\ipykernel_launcher.py", line 16, in &lt;module&gt;
      app.launch_new_instance()
    File "C:\Anaconda\envs\Matura\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
      app.start()
    File "C:\Anaconda\envs\Matura\lib\site-packages\ipykernel\kernelapp.py", line 486, in start
      self.io_loop.start()
    File "C:\Anaconda\envs\Matura\lib\site-packages\tornado\platform\asyncio.py", line 127, in start
      self.asyncio_loop.run_forever()
    File "C:\Anaconda\envs\Matura\lib\asyncio\base_events.py", line 421, in run_forever
      self._run_once()
    File "C:\Anaconda\envs\Matura\lib\asyncio\base_events.py", line 1425, in _run_once
      handle._run()
    File "C:\Anaconda\envs\Matura\lib\asyncio\events.py", line 127, in _run
      self._callback(*self._args)
    File "C:\Anaconda\envs\Matura\lib\site-packages\tornado\ioloop.py", line 759, in _run_callback
      ret = callback()
    File "C:\Anaconda\envs\Matura\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper
      return fn(*args, **kwargs)
    File "C:\Anaconda\envs\Matura\lib\site-packages\zmq\eventloop\zmqstream.py", line 536, in &lt;lambda&gt;
      self.io_loop.add_callback(lambda : self._handle_events(self.socket, 0))
    File "C:\Anaconda\envs\Matura\lib\site-packages\zmq\eventloop\zmqstream.py", line 450, in _handle_events
      self._handle_recv()
    File "C:\Anaconda\envs\Matura\lib\site-packages\zmq\eventloop\zmqstream.py", line 480, in _handle_recv
      self._run_callback(callback, msg)
    File "C:\Anaconda\envs\Matura\lib\site-packages\zmq\eventloop\zmqstream.py", line 432, in _run_callback
      callback(*args, **kwargs)
    File "C:\Anaconda\envs\Matura\lib\site-packages\tornado\stack_context.py", line 276, in null_wrapper
      return fn(*args, **kwargs)
    File "C:\Anaconda\envs\Matura\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
      return self.dispatch_shell(stream, msg)
    File "C:\Anaconda\envs\Matura\lib\site-packages\ipykernel\kernelbase.py", line 233, in dispatch_shell
      handler(stream, idents, msg)
    File "C:\Anaconda\envs\Matura\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request
      user_expressions, allow_stdin)
    File "C:\Anaconda\envs\Matura\lib\site-packages\ipykernel\ipkernel.py", line 208, in do_execute
      res = shell.run_cell(code, store_history=store_history, silent=silent)
    File "C:\Anaconda\envs\Matura\lib\site-packages\ipykernel\zmqshell.py", line 537, in run_cell
      return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
    File "C:\Anaconda\envs\Matura\lib\site-packages\IPython\core\interactiveshell.py", line 2662, in run_cell
      raw_cell, store_history, silent, shell_futures)
    File "C:\Anaconda\envs\Matura\lib\site-packages\IPython\core\interactiveshell.py", line 2785, in _run_cell
      interactivity=interactivity, compiler=compiler, result=result)
    File "C:\Anaconda\envs\Matura\lib\site-packages\IPython\core\interactiveshell.py", line 2901, in run_ast_nodes
      if self.run_code(code, result):
    File "C:\Anaconda\envs\Matura\lib\site-packages\IPython\core\interactiveshell.py", line 2961, in run_code
      exec(code_obj, self.user_global_ns, self.user_ns)
    File "&lt;ipython-input-5-9e8915c7d2a2&gt;", line 26, in &lt;module&gt;
      tf.summary.image('Konvolution1Bild', tf.unstack(konv1, axis = 3))
    File "C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\summary\summary.py", line 162, in image
      tag=tag, tensor=tensor, max_images=max_outputs, name=scope)
    File "C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\ops\gen_logging_ops.py", line 387, in image_summary
      bad_color=bad_color, name=name)
    File "C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 787, in _apply_op_helper
      op_def=op_def)
    File "C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\framework\ops.py", line 3392, in create_op
      op_def=op_def)
    File "C:\Anaconda\envs\Matura\lib\site-packages\tensorflow\python\framework\ops.py", line 1718, in __init__
      self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access
  
  InvalidArgumentError (see above for traceback): Tensor must be 4-D with last dim 1, 3, or 4, not [32,32,28,28]
       [[Node: Konvolution1/Konvolution1Bild = ImageSummary[T=DT_FLOAT, bad_color=Tensor&lt;type: uint8 shape: [4] values: 255 0 0...&gt;, max_images=3, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Konvolution1/Konvolution1Bild/tag, Konvolution1/Konvolution1Bild/tensor/_39)]]
  </code></pre>
  
  <p>Snippets of the code that produce this error:</p>
  
  <pre><code>merged = tf.summary.merge_all()
  
  init = tf.global_variables_initializer()
  
  with tf.Session() as sess:
  
      writer= tf.summary.FileWriter( "/tmp/mnist_logs", sess.graph)
  
      sess.run(init)
  
      for i in range(anzahlIterationen):
          batch_x, batch_y = mnist.train.next_batch(batchGrösse)
  
          sess.run(training, feed_dict={x: batch_x, y: batch_y, dropoutPH:dropout})
  
          if i % (np.floor(anzahlIterationen/5)) == 0:
              verlust, genau = sess.run([kreuzentropie, genauigkeitTraining], feed_dict={x:batch_x, y:batch_y, dropoutPH:dropout})
              print(i, 'Trainingsgenauigkeit = ', genau*100,'%', 'verlust = ', verlust)
  
              s = sess.run(merged, feed_dict={x:batch_x, y:batch_y, dropoutPH:dropout})
              writer.add_summary(s, i)
      genauigkeitTest = sess.run(genauigkeitTraining, feed_dict={x:mnist.test.images,y:mnist.test.labels, keep_prob:1.0})
      print("test accuracy %g"%(testAccurac
  </code></pre>
  
  <p>I really don't know where this error comes from. I can't think of a way to influence the tensors that I input because I want data from that.</p>
  
  <p>The code already worked for previous versions. I can't think of I moment where I changed something with the summary</p>