Website Blog TensorPlay documentation

Automatic differentiation package - tensorplay.autograd Automatic Mixed Precision package - tensorplay.amp Distributed communication package - tensorplay.distributed Multiprocessing package - tensorplay.multiprocessing Quantization tensorplay tensorplay.audio tensorplay.compiler tensorplay.cuda tensorplay.fft tensorplay.futures tensorplay.hub tensorplay.library tensorplay.linalg tensorplay.nn tensorplay.nn.functional tensorplay.nn.init tensorplay.optim tensorplay.random tensorplay.sparse tensorplay.special tensorplay.stax tensorplay.utils.checkpoint tensorplay.utils.data tensorplay.vision Upstream anchor labels

tensorplay.airy_ai

API symbolsairy_ai

Copy

View Markdown Download .md

tensorplay.airy_ai

tensorplay.airy_ai(input)[source]

Help improve this page

Found an error, an unclear step, or a missing example?

Was this page helpful?

Suggest an edit Report an issue

tensorplay.addcmul_

Previous Page

autocast

Instances of autocast serve as context managers or decorators that allow regions of your script to run in mixed precision.