Is graph_transforms tool the newest tool to optimize and quantize for pb.
when I find tf < 1.11,has quantize_graph.py.

Is it a known issue (is it even an issue?) that model.test_on_batch returns the sum of losses of each entry in the batch instead of the average? I looked over the changelog and saw no reference to that.
model.train_on_batch does in fact returns the average, but in the docs their return value is documented the same.

Feedback from some workshop is that we should pay more attention to the quality and working status of the examples we have in the repossitory to help people.

• Have CI running on examples #2353
• Ensure examples works with latest stable version #2351
• Improve documentation by referring to examples
• Once v0.6, stick examples to it

Environment:

Framework: (TensorFlow, Keras)
Framework version:
tensorflow 1.14.0
tensorflow-estimator 1.14.0
tensorflow-serving-api 1.14.0
Keras 2.2.4
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.0
Horovod version:
horovod 0.18.1
MPI version:
(tensorflow_p36) ubuntu@ip-172-31-38-183:~$ mpirun --version
mpirun (Open MPI) 4.0.1
CUDA version:
CUDA Version 10.0.130

NCCL version

Currently we didn't port all test cases from v1alpha1 to v1beta1. Part of the reasons is because we haven't implement functions that v1alpha1 has:

• SyncCache
• [GetSecret](https://github.com/kubeflow/kubeflow/blob/2f15d8dbe85f0081652c1e5

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

Support for storing large tensor values in external files was introduced in #678, but AFAICT is undocumented.

This is a pretty important feature, functionally, but it's also important for end users who may not realise that they need to move around more than just the *.onnx file.

I would suggest it should be documented in IR.md, and perhaps there are other locations from which it could be s

Revise the documentation in start.md.

Read and try out the examples and tutorials in "Getting Started".
If you find anything unclear or incorrect, please change it in start.md.

External contributors are welcome fo