oraoto / learn_ml Goto Github PK

$ mvNCCheck TF_Model/tf_model.meta -in=conv2d_1_input -on=dense_2/Softmax
mvNCCheck v02.00, Copyright @ Movidius Ltd 2016

Traceback (most recent call last):
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1323, in _do_call
return fn(*args)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1302, in _run_fn
status, run_metadata)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/errors_impl.py", line 473, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'conv2d_1_input' with dtype float
[[Node: conv2d_1_input = Placeholderdtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/local/bin/mvNCCheck", line 152, in
quit_code = check_net(args.network, args.image, args.inputnode, args.outputnode, args.nshaves, args.inputsize, args.weights, args)
File "/usr/local/bin/mvNCCheck", line 130, in check_net
net = parse_tensor(args, myriad_config, file_gen=True)
File "/usr/local/bin/ncsdk/Controllers/TensorFlowParser.py", line 1059, in parse_tensor
desired_shape = node.inputs[1].eval()
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py", line 570, in eval
return _eval_using_default_session(self, feed_dict, self.graph, session)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py", line 4455, in _eval_using_default_session
return session.run(tensors, feed_dict)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 889, in run
run_metadata_ptr)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1120, in _run
feed_dict_tensor, options, run_metadata)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1317, in _do_run
options, run_metadata)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/client/session.py", line 1336, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: You must feed a value for placeholder tensor 'conv2d_1_input' with dtype float
[[Node: conv2d_1_input = Placeholderdtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

Caused by op 'conv2d_1_input', defined at:
File "/usr/local/bin/mvNCCheck", line 152, in
quit_code = check_net(args.network, args.image, args.inputnode, args.outputnode, args.nshaves, args.inputsize, args.weights, args)
File "/usr/local/bin/mvNCCheck", line 130, in check_net
net = parse_tensor(args, myriad_config, file_gen=True)
File "/usr/local/bin/ncsdk/Controllers/TensorFlowParser.py", line 213, in parse_tensor
saver = tf.train.import_meta_graph(path, clear_devices=True)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/training/saver.py", line 1810, in import_meta_graph
**kwargs)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/meta_graph.py", line 660, in import_scoped_meta_graph
producer_op_list=producer_op_list)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/importer.py", line 313, in import_graph_def
op_def=op_def)
File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py", line 2956, in create_op
op_def=op_def)
File "/usr/local/lib/python3.4/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): You must feed a value for placeholder tensor 'conv2d_1_input' with dtype float
[[Node: conv2d_1_input = Placeholderdtype=DT_FLOAT, shape=[], _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

Hi, where do you definite the input and output nodes? As they are required when we compile and check via ncsdk. Thank you very much!

make install 到安装caffe那一步时报错，请问如何跳过安装caffe和跳过系统检查？我只需要tensorflow

您好。按照你的minst的代码，编译时报错。
The name input:0 refers a tensor which does not exist.
请问如何解决？