我是tensorflow的新手，正在玩重新采样器操作（作为cv2重映射功能的替代方案），当我运行会话来评估节点＆＃39; out＆＃39时似乎得到此错误;。这是我的代码段
print(warpmap.dtype,warpmap.shape) #prints float32 dtype and (1, 266, 400, 2) shape
print(img.dtype,img.shape) #prints float32 dtype and (1, 266, 400, 3) shape
tf_img = tf.placeholder(tf.float32,[1,None,None,None])
tf_warp = tf.placeholder(tf.float32,[1,None,None,2])
out = tf.contrib.resampler.resampler(tf_img,tf_warp)
sess = tf.Session()
sess.run(out,{tf_img:img,tf_warp:warpmap})
我已经在这里跟进了任何相关问题或github上的问题，但无法找到出路。请让我知道如何解决这个问题。错误消息如下
---------------------------------------------------------------------------
InvalidArgumentError Traceback (most recent call last)
F:\Sharath\Anaconda\envs\tensorflow-gpu\lib\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:
F:\Sharath\Anaconda\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\client\session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1296 # Ensure any changes to the graph are reflected in the runtime.
-> 1297 self._extend_graph()
1298 with errors.raise_exception_on_not_ok_status() as status:
F:\Sharath\Anaconda\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\client\session.py in _extend_graph(self)
1357 tf_session.TF_ExtendGraph(
-> 1358 self._session, graph_def.SerializeToString(), status)
1359 self._opened = True
F:\Sharath\Anaconda\envs\tensorflow-gpu\lib\contextlib.py in __exit__(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
F:\Sharath\Anaconda\envs\tensorflow-gpu\lib\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: No OpKernel was registered to support Op 'Resampler' with these attrs. Registered devices: [CPU,GPU], Registered kernels:
<no registered kernels>
[[Node: resampler/Resampler = Resampler[T=DT_FLOAT](Placeholder, Placeholder_1)]]
During handling of the above exception, another exception occurred:
InvalidArgumentError Traceback (most recent call last)
<ipython-input-1-594940a14782> in <module>()
39 #sess = tf.Session(config=tf.ConfigProto(allow_soft_placement=True))
40 #sess.run(tf.global_variables_initializer())
---> 41 sess.run(out,{tf_img:img,tf_warp:warpmap})
42 print('done')
43 cv2.waitKey(0)
F:\Sharath\Anaconda\envs\tensorflow-gpu\lib\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)
F:\Sharath\Anaconda\envs\tensorflow-gpu\lib\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 = []
F:\Sharath\Anaconda\envs\tensorflow-gpu\lib\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)
F:\Sharath\Anaconda\envs\tensorflow-gpu\lib\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):