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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.ndtr

tensorplay.special.ndtr(input)[source]: Standard normal CDF: Phi(x) = 0.5 * erfc(-x / sqrt(2)).

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tensorplay.special.multigammaln

Multivariate log-gamma with dimension p (p >= 2).

tensorplay.special.ndtri

Inverse standard normal CDF: sqrt(2) * erfinv(2x - 1) .