Models: tensorflow.python.framework.errors_impl.NotFoundError: ; No such file or directory

[isrugeek]

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System information

• What is the top-level directory of the model you are using:
  /media/habeshageeks/DATA/auto_proj/lisa
• Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
  No
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
  Linux Ubuntu 16.04
• TensorFlow installed from (source or binary): binary
• TensorFlow version (use command below): v1.7.0-3-g024aecf414 1.7.0
• Bazel version (if compiling from source): N/A
• CUDA/cuDNN version: Cuda 9.1 & Cudnn 7.1
• GPU model and memory: GTX1060 8 GB
• Exact command to reproduce: python object_detection/train.py --logtostderr --pipeline lisa/lisa/experiments/training/faster_rcnn_lisa.config --train_dir lisa/lisa/experiments/training

You can collect some of this information using our environment capture script:

https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh

You can obtain the TensorFlow version with

python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"

Describe the problem

When I run python object_detection/train.py --logtostderr --pipeline lisa/lisa/experiments/training/faster_rcnn_lisa.config --train_dir lisa/lisa/experiments/training It shows me an error with Traceback (most recent call last): File "object_detection/train.py", line 167, in <module> tf.app.run() File "/home/habeshageeks/.virtualenvs/ml/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 126, in run _sys.exit(main(argv)) File "object_detection/train.py", line 107, in main overwrite=True) File "/home/habeshageeks/.virtualenvs/ml/lib/python3.5/site-packages/tensorflow/python/lib/io/file_io.py", line 392, in copy compat.as_bytes(oldpath), compat.as_bytes(newpath), overwrite, status) File "/home/habeshageeks/.virtualenvs/ml/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
The Path Lisa is Sim Linked with the Research Directory

Source code / logs

python object_detection/train.py --logtostderr --pipeline lisa/lisa/experiments/training/faster_rcnn_lisa.config --train_dir lisa/lisa/experiments/training WARNING:tensorflow:From /home/habeshageeks/.virtualenvs/ml/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version. Instructions for updating: Use the retry module or similar alternatives. Traceback (most recent call last): File "object_detection/train.py", line 167, in <module> tf.app.run() File "/home/habeshageeks/.virtualenvs/ml/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 126, in run _sys.exit(main(argv)) File "object_detection/train.py", line 107, in main overwrite=True) File "/home/habeshageeks/.virtualenvs/ml/lib/python3.5/site-packages/tensorflow/python/lib/io/file_io.py", line 392, in copy compat.as_bytes(oldpath), compat.as_bytes(newpath), overwrite, status) File "/home/habeshageeks/.virtualenvs/ml/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

[isrugeek]

@qlzh727 Can You figure out this Error?

[qlzh727]

Sorry for the late reply.

From the error log, mostly likely it is failed to find your local file during copy (symlink might cause the issue). Since I don't have access to your local directory, I cannot reproduce it. Another alternative to try is specify the absolute path instead of relative path in the commandline arg.

[isrugeek]

Thank You for your Reply Indeed I tried using absolute path my directories are in my external HDD, /media/habeshageeks/DATA/auto_proj/lisa/lisa/experiments/training but still same error

[qlzh727]

From your command line arg, it seems that you are using "--pipeline", which I don't think is correct. The valid value is "--pipeline_config_path"

[qlzh727]

Assume the last comment help you fix the issue, closing for now.

[ArefAz]

I encounter the same error and the problem was that I had a typo in "--pipeline_config_path".