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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Model description
I would like to add a new model:
Proposed in the paper: UNETR: Transformers for 3D Medical Image Segmentation
UNEt TRansformers (UNETR) utilize a transformer as the encoder to learn sequence representations of the input volume and effectively capture the global multi-scale information, while also following the successful "U-shaped"
🐛 Describe the bug
The function einsum_helper
in torch/onnx/symbolic_opset12.py is a helper. It is not meant for public consumption. We should rename it to _einsum_helper
and remove it from __all__
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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
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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
The current default autoscaler error message color is painfully difficult to read on the default background.
Versions / Dependencies
Master
Reproduction script
Launch a 4 CPU head node with availa
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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
.