# tensorplay.special

Source: https://www.tensorplay.cn/docs/special.html

The tensorplay.special module, modeled after SciPy’s [special](https://docs.scipy.org/doc/scipy/reference/special.html) module.

## Functions

| tensorplay.functional.airy_ai | |
| --- | --- |
| tensorplay.functional.bessel_j0 |  |
| tensorplay.functional.bessel_j1 |  |
| tensorplay.functional.bessel_y0 |  |
| tensorplay.functional.bessel_y1 |  |
| tensorplay.functional.chebyshev_polynomial_t |  |
| tensorplay.functional.chebyshev_polynomial_u |  |
| tensorplay.functional.chebyshev_polynomial_v |  |
| tensorplay.functional.chebyshev_polynomial_w |  |
| tensorplay.functional.digamma | Alias for tensorplay.special.digamma(). |
| tensorplay.functional.entr |  |
| tensorplay.functional.erf | Alias for tensorplay.special.erf(). |
| tensorplay.functional.erfc | Alias for tensorplay.special.erfc(). |
| tensorplay.functional.erfcx |  |
| tensorplay.functional.erfinv | Alias for tensorplay.special.erfinv(). |
| tensorplay.functional.exp2 | Alias for tensorplay.special.exp2(). |
| tensorplay.special._error.expit | Numerically-stable sigmoid; identical to sigmoid(). |
| tensorplay.functional.expm1 | Alias for tensorplay.special.expm1(). |
| tensorplay.functional.gammainc |  |
| tensorplay.functional.gammaincc |  |
| tensorplay.special._gamma.gammaln | Natural log of the absolute value of the gamma function (native lgamma). |
| tensorplay.functional.hermite_polynomial_h |  |
| tensorplay.functional.hermite_polynomial_he |  |
| tensorplay.functional.i0 | Alias for tensorplay.special.i0(). |
| tensorplay.functional.i0e |  |
| tensorplay.functional.i1 |  |
| tensorplay.functional.i1e |  |
| tensorplay.functional.laguerre_polynomial_l |  |
| tensorplay.functional.legendre_polynomial_p |  |
| tensorplay.functional.log1p | Returns a new tensor with the natural logarithm of (1 + input). |
| tensorplay.functional.log_ndtr |  |
| tensorplay.special._elementwise.log_softmax | log(softmax(input, dim)), evaluated without the intermediate exp. |
| tensorplay.functional.logit | Alias for tensorplay.special.logit(). |
| tensorplay.special._elementwise.logsumexp | Log-sum-exp along dim, computed with the max-shift trick. |
| tensorplay.functional.modified_bessel_i0 |  |
| tensorplay.functional.modified_bessel_i1 |  |
| tensorplay.functional.modified_bessel_k0 |  |
| tensorplay.functional.modified_bessel_k1 |  |
| tensorplay.special._gamma.multigammaln | Multivariate log-gamma with dimension p (p >= 1). |
| tensorplay.functional.ndtr |  |
| tensorplay.functional.ndtri |  |
| tensorplay.special._gamma.polygamma | Polygamma of order n: $\psi^{(n)}(x)$ (native kernel). |
| tensorplay.special._gamma.psi | Digamma function; alias of digamma(). |
| tensorplay.special._elementwise.round | Rounds to nearest even integer (native Tensor.round). |
| tensorplay.functional.scaled_modified_bessel_k0 |  |
| tensorplay.functional.scaled_modified_bessel_k1 |  |
| tensorplay.functional.shifted_chebyshev_polynomial_t |  |
| tensorplay.functional.shifted_chebyshev_polynomial_u |  |
| tensorplay.functional.shifted_chebyshev_polynomial_v |  |
| tensorplay.functional.shifted_chebyshev_polynomial_w |  |
| tensorplay.functional.sinc | Alias for tensorplay.special.sinc(). |
| tensorplay.special._elementwise.softmax | Normalized exponential along dim (default: the last dim). |
| tensorplay.functional.spherical_bessel_j0 |  |
| tensorplay.functional.xlog1py |  |
| tensorplay.functional.xlogy | Alias for tensorplay.special.xlogy(). |
| tensorplay.functional.zeta |  |