floor_mod¶

paddle. floor_mod ( x, y, name=None ) [source]

Mod two tensors element-wise. The equation is:

\[out = x \% y\]

Note

paddle.remainder supports broadcasting. If you want know more about broadcasting, please refer to Introduction to Tensor .

And mod, floor_mod are all functions with the same name

Parameters

x (Tensor) – the input tensor, it’s data type should be float16, float32, float64, int32, int64.
y (Tensor) – the input tensor, it’s data type should be float16, float32, float64, int32, int64.
name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Returns

N-D Tensor. A location into which the result is stored. If x, y have different shapes and are “broadcastable”, the resulting tensor shape is the shape of x and y after broadcasting. If x, y have the same shape, its shape is the same as x and y.

Examples

           >>> import paddle

>>> x = paddle.to_tensor([2, 3, 8, 7])
>>> y = paddle.to_tensor([1, 5, 3, 3])
>>> z = paddle.remainder(x, y)
>>> print(z)
Tensor(shape=[4], dtype=int64, place=Place(cpu), stop_gradient=True,
[0, 3, 2, 1])

>>> z = paddle.floor_mod(x, y)
>>> print(z)
Tensor(shape=[4], dtype=int64, place=Place(cpu), stop_gradient=True,
[0, 3, 2, 1])

>>> z = paddle.mod(x, y)
>>> print(z)
Tensor(shape=[4], dtype=int64, place=Place(cpu), stop_gradient=True,
[0, 3, 2, 1])

          