bincount¶

paddle. bincount ( x, weights=None, minlength=0, name=None ) [source]

Computes frequency of each value in the input tensor.

Parameters

x (Tensor) – A Tensor with non-negative integer. Should be 1-D tensor.
weights (Tensor, optional) – Weight for each value in the input tensor. Should have the same shape as input. Default is None.
minlength (int, optional) – Minimum number of bins. Should be non-negative integer. Default is 0.
name (str, optional) – Normally there is no need for user to set this property. For more information, please refer to Name. Default is None.

Returns

The tensor of frequency.

Return type

Tensor

Examples

           >>> import paddle

>>> x = paddle.to_tensor([1, 2, 1, 4, 5])
>>> result1 = paddle.bincount(x)
>>> print(result1)
Tensor(shape=[6], dtype=int64, place=Place(cpu), stop_gradient=True,
[0, 2, 1, 0, 1, 1])

>>> w = paddle.to_tensor([2.1, 0.4, 0.1, 0.5, 0.5])
>>> result2 = paddle.bincount(x, weights=w)
>>> print(result2)
Tensor(shape=[6], dtype=float32, place=Place(cpu), stop_gradient=True,
[0.        , 2.19999981, 0.40000001, 0.        , 0.50000000, 0.50000000])

          