# tensorplay.functional.logspace

Source: https://www.tensorplay.cn/docs/generated/tensorplay.functional.logspace.html

```python
tensorplay.functional.logspace(start, end, steps, base=10.0, *, out=None, dtype=None, layout=tensorplay.strided, device=None, requires_grad=False) → Tensor
```

Creates a one-dimensional tensor of size steps whose values are evenly
spaced from ${{\text{{base}}}}^{{\text{{start}}}}$ to
${{\text{{base}}}}^{{\text{{end}}}}$, inclusive, on a logarithmic scale
with base base. That is, the values are:

$$(\text{base}^{\text{start}},
\text{base}^{(\text{start} + \frac{\text{end} - \text{start}}{ \text{steps} - 1})},
\ldots,
\text{base}^{(\text{start} + (\text{steps} - 2) * \frac{\text{end} - \text{start}}{ \text{steps} - 1})},
\text{base}^{\text{end}})$$

Parameters:

- start ([float](https://docs.python.org/3/builtins/functions.html#float) or [Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the starting value for the set of points. If Tensor, it must be 0-dimensional

- end ([float](https://docs.python.org/3/builtins/functions.html#float) or [Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – the ending value for the set of points. If Tensor, it must be 0-dimensional

- steps ([int](https://docs.python.org/3/builtins/functions.html#int)) – size of the constructed tensor

- base ([float](https://docs.python.org/3/builtins/functions.html#float), optional) – base of the logarithm function. Default: 10.0.

Keyword Arguments:

- out ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor), optional) – the output tensor.

- dtype ([tensorplay.dtype](/docs/generated/tensorplay.DType.html#tensorplay.DType), optional) – the data type to perform the computation in. Default: if None, uses the global default dtype (see tensorplay.get_default_dtype()) when both start and end are real, and corresponding complex dtype when either is complex.

- layout (tensorplay.layout, optional) – the desired layout of returned Tensor. Default: tensorplay.strided.

- device ([tensorplay.device](/docs/generated/tensorplay.Device.html#tensorplay.Device), optional) – the desired device of returned tensor. Default: if None, uses the current device for the default tensor type (see [tensorplay.set_default_device()](/docs/generated/tensorplay.set_default_device.html#tensorplay.set_default_device)). device will be the CPU for CPU tensor types and the current CUDA device for CUDA tensor types.

- requires_grad ([bool](https://docs.python.org/3/builtins/functions.html#bool), optional) – If autograd should record operations on the returned tensor. Default: False.

Example:

```
>>> tensorplay.logspace(start=-10, end=10, steps=5)
tensor([ 1.0000e-10,  1.0000e-05,  1.0000e+00,  1.0000e+05,  1.0000e+10])
>>> tensorplay.logspace(start=0.1, end=1.0, steps=5)
tensor([  1.2589,   2.1135,   3.5481,   5.9566,  10.0000])
>>> tensorplay.logspace(start=0.1, end=1.0, steps=1)
tensor([1.2589])
>>> tensorplay.logspace(start=2, end=2, steps=1, base=2)
tensor([4.0])
```