tfdeploy | Deploy tensorflow graphs for fast evaluation

by riga Python Version: Current License: BSD-3-Clause

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Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.

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tfdeploy Examples and Code Snippets

Load tensorflow model without importing tensorflow

Python

Lines of Code : 7

License : Strong Copyleft (CC BY-SA 4.0)

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# preallocate w once at the beginning for each layer
w = np.empty([len(x), layer['kernel'].shape[1]])
# x is input, mult kernel with x, write result to w
x.dot(layer['kernel'], out=w) # matrix mult with kernel
w += layer['bias'] # add bias

Community Discussions

Trending Discussions on tfdeploy

Remove all traces of tensorflow-gpu installation on Win10

QUESTION

Remove all traces of tensorflow-gpu installation on Win10

Asked 2017-Feb-27 at 20:22

I'm having an issue reverting to tensorflow-cpu from gpu on Windows 10 64 bit, Python 3.5.3.

I'm using riga/tfdeploy to distribute trained models, which is not compatible with tf-gpu. I installed tf-gpu for an experiment, then reverted to cpu, all using pip install/uninstall. Now I'm getting error messages about unknown ops like RealDiv and VariableV2. When starting a tensorflow session I now get a bunch of messages that did not appear before installing and uninstalling the GPU version, like:

OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits

My question is: How can I remove any trace of tf-gpu from my system and get back to tf-cpu? I'm using tensorflow-1.0.0-cp35-cp35m-win_amd64.whl (V1.0.0)

I read this:

How to uninstall TensorFlow completely?

And several related issues on GitHub, but haven't been able to go back to tf-cpu.

Steps to reproduce:

On Win 10 64 bit, Python 3.5.3, pip install tensorflow
run a tf.Session() - no messages about ops like BestSplits, RealDiv etc., tfdeploy runs fine.
pip install tensorflow-gpu
pip uninstall tensorflow-gpu
Some trace of these ops remains registered, causing warnings like OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits while runninng tf, and also causing frameworks like tfdeploy to crash

I have tried completely reinstalling Python 3, deleting all site-packages etc. I've installed and uninstalled CUDA. The ops seem to be registered somewhere, leading to different behavior of tf-cpu after installing and uninstalling tf-gpu.

Any pointers on getting rid of/unregistering these ops is appreciated!

...

ANSWER

Answered 2017-Feb-27 at 20:22

There was a bug on the PYPI packages generating OpKernel errors. The fix for that as of now is to uninstall TensorFlow, download a nightly build and install it, while the PYPI packages are not replaced.

Please see this issue on Github for more details.

Source https://stackoverflow.com/questions/42473745

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