InvalidArgumentError (see above for traceback)

When I run real_time_counting.py,this error occurred: 2019-08-11 14:15:08.854541: E tensorflow/core/common_runtime/executor.cc:644] Executor failed to create kernel. Invalid argument: NodeDef mentions attr 'identical_element_shapes' not in Op<name=TensorArrayV3; signature=size:int32 -> handle:resource, flow:float; attr=dtype:type; attr=element_shape:shape,default=; attr=dynamic_size:bool,default=false; attr=clear_after_read:bool,default=true; attr=tensor_array_name:string,default=""; is_stateful=true>; NodeDef: Preprocessor/map/TensorArray = TensorArrayV3clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0". (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.). [[Node: Preprocessor/map/TensorArray = TensorArrayV3clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0"]] Traceback (most recent call last): File "/home/lf/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1327, in _do_call return fn(*args) File "/home/lf/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1306, in _run_fn status, run_metadata) File "/home/lf/anaconda3/lib/python3.6/contextlib.py", line 88, in exit next(self.gen) File "/home/lf/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status pywrap_tensorflow.TF_GetCode(status)) tensorflow.python.framework.errors_impl.InvalidArgumentError: NodeDef mentions attr 'identical_element_shapes' not in Op<name=TensorArrayV3; signature=size:int32 -> handle:resource, flow:float; attr=dtype:type; attr=element_shape:shape,default=; attr=dynamic_size:bool,default=false; attr=clear_after_read:bool,default=true; attr=tensor_array_name:string,default=""; is_stateful=true>; NodeDef: Preprocessor/map/TensorArray = TensorArrayV3clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0". (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.). [[Node: Preprocessor/map/TensorArray = TensorArrayV3clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0"]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "real_time_counting.py", line 31, in object_counting_api.object_counting(input_video, detection_graph, category_index, is_color_recognition_enabled) # counting all the objects File "/home/lf/桌面/tensorflow_object_counting_api/api/object_counting_api.py", line 302, in object_counting feed_dict={image_tensor: image_np_expanded}) File "/home/lf/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 895, in run run_metadata_ptr) File "/home/lf/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1124, in _run feed_dict_tensor, options, run_metadata) File "/home/lf/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1321, in _do_run options, run_metadata) File "/home/lf/anaconda3/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1340, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: NodeDef mentions attr 'identical_element_shapes' not in Op<name=TensorArrayV3; signature=size:int32 -> handle:resource, flow:float; attr=dtype:type; attr=element_shape:shape,default=; attr=dynamic_size:bool,default=false; attr=clear_after_read:bool,default=true; attr=tensor_array_name:string,default=""; is_stateful=true>; NodeDef: Preprocessor/map/TensorArray = TensorArrayV3clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0". (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.). [[Node: Preprocessor/map/TensorArray = TensorArrayV3clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0"]]

Caused by op 'Preprocessor/map/TensorArray', defined at: File "real_time_counting.py", line 17, in detection_graph, category_index = backbone.set_model('ssd_mobilenet_v1_coco_2018_01_28') File "/home/lf/桌面/tensorflow_object_counting_api/utils/backbone.py", line 47, in set_model tf.import_graph_def(od_graph_def, name='') File "/home/lf/anaconda3/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 313, in import_graph_def op_def=op_def) File "/home/lf/anaconda3/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 "/home/lf/anaconda3/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): NodeDef mentions attr 'identical_element_shapes' not in Op<name=TensorArrayV3; signature=size:int32 -> handle:resource, flow:float; attr=dtype:type; attr=element_shape:shape,default=; attr=dynamic_size:bool,default=false; attr=clear_after_read:bool,default=true; attr=tensor_array_name:string,default=""; is_stateful=true>; NodeDef: Preprocessor/map/TensorArray = TensorArrayV3clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0". (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.). [[Node: Preprocessor/map/TensorArray = TensorArrayV3clear_after_read=true, dtype=DT_FLOAT, dynamic_size=false, element_shape=, identical_element_shapes=true, tensor_array_name="", _device="/job:localhost/replica:0/task:0/cpu:0"]] I found the error tf.import_graph_def(od_graph_def, name= "). I don't know how to correct it. Could you please help me

ahmetozlu / tensorflow_object_counting_api

InvalidArgumentError (see above for traceback) #43