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SDK version: 2.05.00.02
USE_VIRTUALENV = yes
Python Version = 3.5.2
Tensorflow Version = 1.7.0
Here is an example training code that I'm running:
classifier = tf.estimator.DNNClassifier(feature_columns=feature_columns,
hidden_units=[1802, 901, 450, 225],
n_classes=2,
model_dir="/tmp/")
When I try to compile the meta file:
mvNCCompile /tmp/test_model_7-26_v1/model.ckpt-100.meta -in enqueue_input/Placeholder -on save/Identity
I get the error:
NotFoundError (see above for traceback): ; No such file or directory
[[Node: save/MergeV2Checkpoints = MergeV2Checkpoints[delete_old_dirs=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](save/MergeV2Checkpoints/checkpoint_prefixes, save/Const)]]
The first exception was:
/usr/lib/python3.5/site-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead
shape: [1, 224, 224, 3]
Traceback (most recent call last):
File "/usr/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1327, in _do_call
return fn(*args)
File "/usr/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1312, in _run_fn
options, feed_dict, fetch_list, target_list, run_metadata)
File "/usr/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1420, in _call_tf_sessionrun
status, run_metadata)
File "/usr/lib/python3.5/site-packages/tensorflow/python/framework/errors_impl.py", line 516, in __exit__
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.NotFoundError: ; No such file or directory
[[Node: save/MergeV2Checkpoints = MergeV2Checkpoints[delete_old_dirs=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](save/MergeV2Checkpoints/checkpoint_prefixes, save/Const)]]
Thank you for the support.
Michael
- Tags:
- Tensorflow
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