Tensorflow

TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
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I've ran into this issue for a couple hours and I ended up editing the dist library adding two new functions called fetchVideo
and bufferToVideo
that works pretty much like the fetchImage
and bufferToImage
functions.
I'll leave it here to help somebody else with the same issue and in case someone wants to include it on future releases.
face-api.js
...
exports.fetchVideo = fetc
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Bug Report
Is the issue related to model conversion? No
Describe the bug
DynamicQuantizeLinear function op does not have shape inference function defined. In absence of shape inference, function body is used to get the shape inference for the function op and although it works as a fallback option it hurts perf.
Expected behavior
Add shape inference function for DynamicQuan
/kind feature
This is a sub-issue from #5494.
We need to remove any f"strings"
from the backend of the Jupyter web app in order to be able to use lower versions from Python 3.6 to run it.
/good-first-issue
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I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.
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Created by Google Brain Team
Released November 9, 2015
- Organization
- tensorflow
- Website
- www.tensorflow.org
- Wikipedia
- Wikipedia
Please make sure that this is a documentation issue. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:doc_template
System information