torch.floor_divide

torch.floor_divide(input, other, *, out=None) → Tensor

Warning

This function’s name is a misnomer. It actually rounds the quotient towards zero instead of taking its floor. This behavior will be deprecated in a future PyTorch release.

Computes input divided by other, elementwise, and rounds each quotient towards zero. Equivalently, it truncates the quotient(s):

$$\text{{out}}_i = \text{trunc} \left( \frac{{\text{{input}}_i}}{{\text{{other}}_i}} \right)$$

Supports broadcasting to a common shape, type promotion, and integer and float inputs.

Parameters

• input (Tensor or Number) – the dividend
• other (Tensor or Number) – the divisor

Keyword Arguments

out (Tensor, optional) – the output tensor.

Example:

>>> a = torch.tensor([4.0, 3.0])
>>> b = torch.tensor([2.0, 2.0])
>>> torch.floor_divide(a, b)
tensor([2.0, 1.0])
>>> torch.floor_divide(a, 1.4)
tensor([2.0, 2.0])