pytorch
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Update examples doc
📚 Documentation
A lot of links are outdated here. Anyone willing to contribute a PR to fix them?
https://pytorch-lightning.readthedocs.io/en/latest/ecosystem/community_examples.html
Here is the file you need to edit: https://github.com/PyTorchLightning/pytorch-lightning/blob/master/docs/source/ecosystem/community_examples.rst
Thanks!
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Change tensor.data
to tensor.detach()
due to
pytorch/pytorch#6990 (comment)
tensor.detach()
is more robust than tensor.data
.
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Bug Report
Describe the bug
An ONNX model with QuantizeLinear (opset 13) passes shape inference when it has no input for zero_point, but fails if the input is the empty string. Trailing optional inputs should be able to be expressed in either way.
onnx version 1.10.1
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Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict
command opens the file and reads lines for the Predictor
. This fails when it tries to load data from my compressed files.
Discussed in microsoft/nni#4070
Originally posted by ZhiyuanChen August 14, 2021
[2021-08-14 10:13:41] INFO (NNIDataStore) Datastore initialization done
[2021-08-14 10:13:41] INFO (RestServer) RestServer start
[2021-08-14 10:13:41] INFO (RestServer) RestServer base port is 8080
[2021-08-14 10:13:41] I
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Environment info
transformers
version: 4.11.2