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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Let's use this Issue to track performance issues and enhancement requests, so it's easier to prioritize the work.
This is for pytorch transformers
Also I will label it as a Good Difficult Issue
in case someone is ready for a challenging but rewarding experience of figuring things out. If you do want to take the challenge comment in the corresponding Issue/PR that resonates with you s
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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
Every kubeflow image should be scanned for security vulnerabilities.
It would be great to have a periodic security report.
Each of these images with vulnerability should be patched and updated.
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Created by Google Brain Team
Released November 9, 2015
- Organization
- tensorflow
- Website
- www.tensorflow.org
- Wikipedia
- Wikipedia
Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generate
doesn't work for protobuf directory. So we can't specify GPUOptions forNewSession
.