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update the release notes about the change of nn.LinSpace and ops.LinSpace on 1.1.0

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wangshuide2020 2021-01-28 15:23:49 +08:00
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RELEASE.md
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@ -42,46 +42,6 @@ Previously the kernel size and pad mode attrs of pooling ops are named "ksize" a
</tr>
</table>
###### `nn.LinSpace` ([!9494](https://gitee.com/mindspore/mindspore/pulls/9494)) has been removed and modify `ops.LinSpace` ([!8920](https://gitee.com/mindspore/mindspore/pulls/8920))
The `nn.LinSpace` interface only support passing the value by args previously. For the convenience, we provided enhancive `ops.LinSpace` interface, which support passing the value by the inputs at the latest version. So there is no need for `nn.LinSpace`.
<table>
<tr>
<td style="text-align:center"> 1.1.0 </td> <td style="text-align:center"> 1.1.1 </td>
</tr>
<tr>
<td>
```python
>>> from mindspore import nn
>>>
>>> start = 1
>>> stop = 10
>>> num = 5
>>> linspace = nn.LinSpace(start, stop, num)
>>> output = linspace()
```
</td>
<td>
```python
>>> import mindspore
>>> from mindspore import Tensor
>>> from mindspore import ops
>>>
>>> linspace = ops.LinSpace()
>>> start = Tensor(1, mindspore.float32)
>>> stop = Tensor(10, mindspore.float32)
>>> num = 5
>>> output = linspace(start, stop, num)
```
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</tr>
</table>
# MindSpore 1.1.0 Release Notes
## MindSpore
@ -266,6 +226,46 @@ If you want to fix the initial value of parameters, we suggest to set seed.
>>> set_seed(1)
```
###### `nn.LinSpace` ([!9494](https://gitee.com/mindspore/mindspore/pulls/9494)) has been removed and modify `ops.LinSpace` ([!8920](https://gitee.com/mindspore/mindspore/pulls/8920))
The `nn.LinSpace` interface only support passing the value by args previously. For the convenience, we provided enhancive `ops.LinSpace` interface, which support passing the value by the inputs at the latest version. So there is no need for `nn.LinSpace`.
<table>
<tr>
<td style="text-align:center"> 1.0.1 </td> <td style="text-align:center"> 1.1.0 </td>
</tr>
<tr>
<td>
```python
>>> from mindspore import nn
>>>
>>> start = 1
>>> stop = 10
>>> num = 5
>>> linspace = nn.LinSpace(start, stop, num)
>>> output = linspace()
```
</td>
<td>
```python
>>> import mindspore
>>> from mindspore import Tensor
>>> from mindspore import ops
>>>
>>> linspace = ops.LinSpace()
>>> start = Tensor(1, mindspore.float32)
>>> stop = Tensor(10, mindspore.float32)
>>> num = 5
>>> output = linspace(start, stop, num)
```
</td>
</tr>
</table>
###### Parts of `Optimizer` add target interface ([!6760](https://gitee.com/mindspore/mindspore/pulls/6760/files))
The usage of the sparse optimizer is changed.