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) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to Name.

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) # [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) # [0., 2.19999981, 0.40000001, 0., 0.50000000, 0.50000000]