# tensorplay.nn.init

Source: https://www.tensorplay.cn/docs/nn.init.html

| tensorplay.nn.init.calculate_gain |Return the recommended gain value for the given nonlinearity. |
| --- | --- |
| tensorplay.nn.init.uniform_ | Fill tensor in-place with samples from U(a, b). |
| tensorplay.nn.init.normal_ | Fill tensor in-place with samples from N(mean, std^2). |
| tensorplay.nn.init.constant_ | Fill tensor in-place with the scalar val. |
| tensorplay.nn.init.ones_ | Fill tensor in-place with the scalar value 1. |
| tensorplay.nn.init.zeros_ | Fill tensor in-place with the scalar value 0. |
| tensorplay.nn.init.eye_ | Fill the 2-D tensor in-place with the identity matrix. |
| tensorplay.nn.init.dirac_ | Fill the {3, 4, 5}-D tensor in-place with Dirac delta kernels. |
| tensorplay.nn.init.xavier_uniform_ | Fill tensor in-place with U(-a, a) where a = gain * sqrt(6 / (fan_in + fan_out)). |
| tensorplay.nn.init.xavier_normal_ | Fill tensor in-place with N(0, std^2) where std = gain * sqrt(2 / (fan_in + fan_out)). |
| tensorplay.nn.init.kaiming_uniform_ | Fill tensor in-place with U(-bound, bound) where bound = gain * sqrt(3 / fan). |
| tensorplay.nn.init.kaiming_normal_ | Fill tensor in-place with N(0, std^2) where std = gain / sqrt(fan). |
| tensorplay.nn.init.trunc_normal_ | Fills the input Tensor with values drawn from a truncated normal distribution. |
| tensorplay.nn.init.orthogonal_ | Fill tensor in-place with a (semi) orthogonal matrix. |
| tensorplay.nn.init.sparse_ | Fill the 2-D tensor in-place as a sparse matrix. |