Div
Arguments
- self
(Tensor) the input tensor.
- other
(Number) the number to be divided to each element of
input
- rounding_mode
(str, optional) – Type of rounding applied to the result:
NULL
- default behavior. Performs no rounding and, if both input and other are integer types, promotes the inputs to the default scalar type. Equivalent to true division in Python (the / operator) and NumPy’snp.true_divide
."trunc" - rounds the results of the division towards zero. Equivalent to C-style integer division.
"floor" - rounds the results of the division down. Equivalent to floor division in Python (the // operator) and NumPy’s
np.floor_divide
.
div(input, other, out=NULL) -> Tensor
Divides each element of the input input
with the scalar other
and
returns a new resulting tensor.
Each element of the tensor input
is divided by each element of the tensor
other
. The resulting tensor is returned.
input
and other
must be broadcastable
. If the torch_dtype
of input
and
other
differ, the torch_dtype
of the result tensor is determined
following rules described in the type promotion documentation
. If out
is specified, the result must be
castable to the torch_dtype
of the
specified output tensor. Integral division by zero leads to undefined behavior.
Warning
Integer division using div is deprecated, and in a future release div will
perform true division like torch_true_divide()
.
Use torch_floor_divide()
to perform integer division,
instead.
torch_dtype
of input
and other
differ, the
torch_dtype
of the result tensor is determined following rules
described in the type promotion documentation . If
out
is specified, the result must be castable
to the torch_dtype
of the specified output tensor. Integral division
by zero leads to undefined behavior.
Examples
if (torch_is_installed()) {
a = torch_randn(c(5))
a
torch_div(a, 0.5)
a = torch_randn(c(4, 4))
a
b = torch_randn(c(4))
b
torch_div(a, b)
}
#> torch_tensor
#> -0.1685 0.6700 -5.0045 0.3233
#> 2.9393 4.8110 -7.8919 1.2924
#> 0.7331 -1.4020 -0.7883 -0.8459
#> -0.1183 -1.4964 -1.6517 -0.1127
#> [ CPUFloatType{4,4} ]