Deep learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
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Feature request
Is the addition of the 'OPTforSequenceClassification' class scheduled?
Is someone handling it?
When adding these functions, I wonder if it is possible to PR one by one, or if I have to PR all classes supported by other models.
Motivation
Added function of OPT class, which is being actively discussed recently
Your contribution
I personally use the forSequenceCla
🚀 The feature, motivation and pitch
The current implementation of Zero Redundancy optimizer has its own implementation of object broadcasting.
We should replace it with c10d [broadcast_object_list](https://pytorch.org/docs/stable/distributed.html#torch.distributed.broadcast_object_lis
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DEPENCES 依赖项不全
What could be better?
依赖项的 requ…….txt 应该被更新,而且 pytorch 更要描述具体版本和安装方式
本人配环境一个下午,勉强配出来 Tag0.0.1 pytorch 1.9.0 OnlyCpu
的版本。
文本中如果有数字读不出来
This is a nice first issue:
Add types/docments to the Learner.get_preds
function. This function is essential to any fastai
user and has almost no documentation. Add types and text to the variables as we have in many places now.
What happened + What you expected to happen
When initializing a Ray Trainer, we provide a logdir
argument, and the __init__
method of the Trainer stores it as a logdir
class variable.
Then, when creating a Trainable with Trainer.to_tune_trainable()
, it in-turn calls _create_tune_trainable()
, which does not use self.logdir
. So when tune_function
is defined inside `_create_tu
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- 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
.