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:
-> 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(
-> 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,
-> 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<type: uint8 shape: [4] values: 255 0 0...>, 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)
<ipython-input-8-73b3b51081a0> in <module>()
18 print(i, 'Trainingsgenauigkeit = ', genau*100,'%', 'verlust = ', verlust)
19
---> 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,
--> 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,
-> 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,
-> 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
-> 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<type: uint8 shape: [4] values: 255 0 0...>, 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 <module>
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 <lambda>
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 "<ipython-input-5-9e8915c7d2a2>", line 26, in <module>
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<type: uint8 shape: [4] values: 255 0 0...>, max_images=3, _device="/job:localhost/replica:0/task:0/device:CPU:0"](Konvolution1/Konvolution1Bild/tag, Konvolution1/Konvolution1Bild/tensor/_39)]]
产生此错误的代码片段：
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
我真的不知道此错误来自何处。我想不出一种方法来影响我输入的张量，因为我要从中获取数据。
该代码已可用于以前的版本。我想不起来我在摘要中进行了一些更改