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.tp_cosine_embedding_loss

API symbolstp_cosine_embedding_loss

Copy

View Markdown Download .md

tensorplay.tp_cosine_embedding_loss

tensorplay.tp_cosine_embedding_loss(input1, input2, target, margin=0.0, reduction=1)[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.tp_binary_cross_entropy

Previous Page

tensorplay.tp_hinge_embedding_loss

Next Page