-
Notifications
You must be signed in to change notification settings - Fork 74.7k
segmentation fault when running convolutional.py #79
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 8000
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Comments
Notes: I'm running on Ubuntu 14.04 i686, following the "install from source" instructions. I have 2GB RAM/4GB swap. |
Can you do the following: Build //tensorflow/models/mnist:convolutional via: bazel build -c dbg //tensorflow/models/mnist:convolutional And run with gdb: (assuming your python is in /usr/bin/python2.7) (press "r" to run it) wait until it crashes; and type "bt" for backtrace paste the resulting output here. |
(gdb) r Program received signal SIGABRT, Aborted. |
I have pushed a fix for this assertion to our internal tensorflow code repository. It will be available on github with the next push. |
I believe this is fixed as of 9c3043f, will be in our next binary release |
…ensor to the collection DROPOUTS and zeros it on prediction
Fixes tensorflow#79: Zeros dropouts on prediction
…-doc Update tensorflow-build-from-source.md
PiperOrigin-RevId: 449119424
TfLite Atan2 missing datatype support (#28)
I am running tensorflow/models/image/mnist/convolutional.py. I get:
ariw@clairvoyance:~/tensorflow$ python tensorflow/models/image/mnist/convolutional.py
Succesfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
Succesfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.
Succesfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.
Succesfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.
Extracting data/train-images-idx3-ubyte.gz
Extracting data/train-labels-idx1-ubyte.gz
Extracting data/t10k-images-idx3-ubyte.gz
Extracting data/t10k-labels-idx1-ubyte.gz
I tensorflow/core/common_runtime/local_device.cc:25] Local device intra op parallelism threads: 2
I tensorflow/core/common_runtime/local_session.cc:45] Local session inter op parallelism threads: 2
Initialized!
zsh: segmentation fault (core dumped) python tensorflow/models/image/mnist/convolutional.py
Thoughts?
The text was updated successfully, but these errors were encountered: