0
votes

I've tried to create a custom object detector in the paperspace cloud desktop, then I tried it on Jupyter Notebook and it works.

Now, I've uploaded the whole models-master folder and downloaded it on my local machine.

I ran it using Jupyter Notebook and it now gives an InvalidArgumentError. I've tried re-exporting the inference graph on my local machine using the same ckpt that was trained on cloud but it is still not working.

InvalidArgumentError Traceback (most recent call last) /usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args) 1322 try: -> 1323 return fn(*args) 1324 except errors.OpError as e:

/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata) 1301 feed_dict, fetch_list, target_list, -> 1302 status, run_metadata) 1303

/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py in exit(self, type_arg, value_arg, traceback_arg) 472 compat.as_text(c_api.TF_Message(self.status.status)), --> 473 c_api.TF_GetCode(self.status.status)) 474 # Delete the underlying status object from memory otherwise it stays alive

InvalidArgumentError: NodeDef mentions attr 'T' not in Op index:int64>; NodeDef: Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/FilterGreaterThan/Where = WhereT=DT_BOOL, _device="/job:localhost/replica:0/task:0/device:GPU:0". (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.). [[Node: Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/FilterGreaterThan/Where = WhereT=DT_BOOL, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]

During handling of the above exception, another exception occurred:

InvalidArgumentError Traceback (most recent call last) in () 20 (boxes, scores, classes, num) = sess.run( 21 [detection_boxes, detection_scores, detection_classes, num_detections], ---> 22 feed_dict={image_tensor: image_np_expanded}) 23 # Visualization of the results of a detection. 24 vis_util.visualize_boxes_and_labels_on_image_array(

/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in run(self, fetches, feed_dict, options, run_metadata) 887 try: 888 result = self._run(None, fetches, feed_dict, options_ptr, --> 889 run_metadata_ptr) 890 if run_metadata: 891 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)

/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
1118 if final_fetches or final_targets or (handle and feed_dict_tensor): 1119 results = self._do_run(handle, final_targets, final_fetches, -> 1120 feed_dict_tensor, options, run_metadata) 1121 else: 1122 results = []

/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata) 1315 if handle is None: 1316 return self._do_call(_run_fn, self._session, feeds, fetches, targets, -> 1317 options, run_metadata) 1318 else: 1319 return self._do_call(_prun_fn, self._session, handle, feeds, fetches)

/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py in _do_call(self, fn, *args) 1334 except KeyError: 1335 pass -> 1336 raise type(e)(node_def, op, message) 1337 1338 def _extend_graph(self):

InvalidArgumentError: NodeDef mentions attr 'T' not in Op index:int64>; NodeDef: Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/FilterGreaterThan/Where = WhereT=DT_BOOL, _device="/job:localhost/replica:0/task:0/device:GPU:0". (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.). [[Node: Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/FilterGreaterThan/Where = WhereT=DT_BOOL, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]

Caused by op 'Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/FilterGreaterThan/Where', defined at: File "/usr/lib/python3.5/runpy.py", line 184, in _run_module_as_main "main", mod_spec) File "/usr/lib/python3.5/runpy.py", line 85, in _run_code exec(code, run_globals) File "/home/ryan/.local/lib/python3.5/site-packages/ipykernel_launcher.py", line 16, in app.launch_new_instance() File "/home/ryan/.local/lib/python3.5/site-packages/traitlets/config/application.py", line 658, in launch_instance app.start() File "/home/ryan/.local/lib/python3.5/site-packages/ipykernel/kernelapp.py", line 477, in start ioloop.IOLoop.instance().start() File "/home/ryan/.local/lib/python3.5/site-packages/zmq/eventloop/ioloop.py", line 177, in start super(ZMQIOLoop, self).start() File "/home/ryan/.local/lib/python3.5/site-packages/tornado/ioloop.py", line 888, in start handler_func(fd_obj, events) File "/home/ryan/.local/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper return fn(*args, **kwargs) File "/home/ryan/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events self._handle_recv() File "/home/ryan/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv self._run_callback(callback, msg) File "/home/ryan/.local/lib/python3.5/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback callback(*args, **kwargs) File "/home/ryan/.local/lib/python3.5/site-packages/tornado/stack_context.py", line 277, in null_wrapper return fn(*args, **kwargs) File "/home/ryan/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 283, in dispatcher return self.dispatch_shell(stream, msg) File "/home/ryan/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 235, in dispatch_shell handler(stream, idents, msg) File "/home/ryan/.local/lib/python3.5/site-packages/ipykernel/kernelbase.py", line 399, in execute_request user_expressions, allow_stdin) File "/home/ryan/.local/lib/python3.5/site-packages/ipykernel/ipkernel.py", line 196, in do_execute res = shell.run_cell(code, store_history=store_history, silent=silent) File "/home/ryan/.local/lib/python3.5/site-packages/ipykernel/zmqshell.py", line 533, in run_cell return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) File "/home/ryan/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2728, in run_cell interactivity=interactivity, compiler=compiler, result=result) File "/home/ryan/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2850, in run_ast_nodes if self.run_code(code, result): File "/home/ryan/.local/lib/python3.5/site-packages/IPython/core/interactiveshell.py", line 2910, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 7, in tf.import_graph_def(od_graph_def, name='') File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/importer.py", line 313, in import_graph_def op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 2956, in create_op op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1470, in init self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

InvalidArgumentError (see above for traceback): NodeDef mentions attr 'T' not in Op index:int64>; NodeDef: Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/FilterGreaterThan/Where = WhereT=DT_BOOL, _device="/job:localhost/replica:0/task:0/device:GPU:0". (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.). [[Node: Postprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/FilterGreaterThan/Where = WhereT=DT_BOOL, _device="/job:localhost/replica:0/task:0/device:GPU:0"]]

1
maybe you use tensorflow-gpu in the cloud but on your computer, you use tensorflow cpuSakhri Houssem

1 Answers

0
votes

Are the cloud and local machines running the same Python/Tensorflow versions? Sometimes checkpoints produced by a specific Tensorflow version are not backward compatible due to internal variables renaming.