torch.randint_like — PyTorch 2.7 documentation (original) (raw)

torch.randint_like(input, low=0, high, \*, dtype=None, layout=torch.strided, device=None, requires_grad=False, 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) andhigh (exclusive).

Parameters

• input (Tensor) – the size of input will determine size of the output tensor.
• 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.

Keyword Arguments

• dtype (torch.dtype, optional) – the desired data type of returned Tensor. Default: if None, defaults to the dtype of input.
• layout (torch.layout, optional) – the desired layout of returned tensor. Default: if None, defaults to the layout of input.
• device (torch.device, optional) – the desired device of returned tensor. Default: if None, defaults to the device of input.
• requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default: False.
• memory_format (torch.memory_format, optional) – the desired memory format of returned Tensor. Default: torch.preserve_format.