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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.special.entr tensorplay.special.erfcx tensorplay.special.expit tensorplay.special.gammaln tensorplay.special.log_ndtr tensorplay.special.log_softmax tensorplay.special.logsumexp tensorplay.special.modified_bessel_i0 tensorplay.special.multigammaln tensorplay.special.ndtr tensorplay.special.ndtri tensorplay.special.polygamma tensorplay.special.psi tensorplay.special.round tensorplay.special.softmax tensorplay.special.xlog1py tensorplay.special.xlogy

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tensorplay.special.erfcx

tensorplay.special.erfcx(input)[source]: Scaled complementary error function: exp(x^2) * erfc(x).

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tensorplay.special.entr

Entropy of a probability element: -x*log(x) (0 at x=0, NaN below).

tensorplay.special.expit

Numerically-stable sigmoid; identical to sigmoid() .