# tensorplay.masked

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

## Classes

| tensorplay.masked.MaskedTensor |A pair of plain tensors data and mask presented as a single value. |
| --- | --- |

## Functions

| tensorplay.masked.amax |Returns maximum of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| --- | --- |
| tensorplay.masked.amin | Returns minimum of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.argmax | Returns argmax of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.argmin | Returns argmin of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.as_masked_tensor |  |
| tensorplay.masked.cumprod | Returns cumulative_prod of all the slices in the input tensor along dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.cumsum | Returns cumulative_sum of all the slices in the input tensor along dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.is_masked_tensor | Return True if the input is a MaskedTensor, else False. |
| tensorplay.masked.log_softmax | Returns log_softmax of all the slices in the input tensor along dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.logaddexp | Returns logaddexp of all the elements in the input and the other tensor. |
| tensorplay.masked.logsumexp | Returns logsumexp of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.masked_tensor |  |
| tensorplay.masked.mean | Returns mean of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.median | Returns median of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.norm | Returns norm of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.normalize | Returns normalize of all the slices in the input tensor along dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.prod | Returns product of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.softmax | Returns softmax of all the slices in the input tensor along dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.softmin | Returns softmin of all the slices in the input tensor along dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.std | Returns standard_deviation of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.sum | Returns sum of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |
| tensorplay.masked.var | Returns variance of all the elements in the input tensor along the given dimension(s) dim while the input elements are masked out according to the boolean tensor mask. |