torch_randint_like | R Documentation |
Randint_like
torch_randint_like(
input,
low,
high,
dtype = NULL,
layout = NULL,
device = NULL,
requires_grad = FALSE
)
input |
(Tensor) the size of |
low |
(int, optional) Lowest integer to be drawn from the distribution. Default: 0. |
high |
(int) One above the highest integer to be drawn from the distribution. |
dtype |
( |
layout |
( |
device |
( |
requires_grad |
(bool, optional) If autograd should record operations on the returned tensor. Default: |
memory_format=torch.preserve_format) -> Tensor
Returns a tensor with the same shape as Tensor input
filled with
random integers generated uniformly between low
(inclusive) and
high
(exclusive).
.. note:
With the global dtype default (torch_float32
), this function returns
a tensor with dtype torch_int64
.
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