histogram_bin_edges¶

paddle. histogram_bin_edges ( input: Tensor, bins: int = 100, min: float = 0.0, max: float = 0.0, name: str | None = None ) → Tensor [source]

Computes only the edges of the bins used by the histogram function. If min and max are both zero, the minimum and maximum values of the data are used.

Parameters

• input (Tensor) – The data type of the input Tensor should be float32, float64, int32, int64.

• bins (int, optional) – number of histogram bins.

• min (float, optional) – lower end of the range (inclusive). Default: 0.0.

• max (float, optional) – upper end of the range (inclusive). Default: 0.0.

• name (str|None, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Returns

Tensor, the values of the bin edges. The output data type will be float32.

Examples

>>> import paddle

>>> inputs = paddle.to_tensor([1, 2, 1])
>>> result = paddle.histogram_bin_edges(inputs, bins=4, min=0, max=3)
>>> print(result)
Tensor(shape=[5], dtype=float32, place=Place(cpu), stop_gradient=True,
[0.        , 0.75000000, 1.50000000, 2.25000000, 3.        ])