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pytorch

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marcfielding1
marcfielding1 commented Sep 24, 2019

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

nelson-liu
nelson-liu commented Jan 6, 2019

If you use the min_count parameter of the Vocabulary, but you specify a namespace that does not exist, the vocabulary creation will just silently proceed. It'd be great if it could error in this case, perhaps by popping off the namespaces in min_count and erroring if any are left at the end of vocab creation (would probably go at the end of https://github.com/allenai/allennlp/blob/master/all

TMVector
TMVector commented Sep 16, 2019

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

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