!45097 [MS][OPS] code docs fix standard_normal ops parameter
Merge pull request !45097 from luoyuan/code_docs_fix-standard-normal-ops-para
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c136306390
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@ -11,7 +11,7 @@ mindspore.ops.standard_normal
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f(x)=\frac{1}{\sqrt{2 \pi}} e^{\left(-\frac{x^{2}}{2}\right)}
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参数:
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- **shape** (tuple) - 目标随机数Tensor的shape。只允许常量值。
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- **shape** (Union[tuple, Tensor]) - 待生成的Tensor的shape。当为tuple类型时,只支持常量值;当为Tensor类型时,支持动态Shape。
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- **seed** (int) - 随机种子,非负值。默认值:0。
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- **seed2** (int) - 随机种子2,用来防止随机种子冲突,非负值。默认值:0。
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@ -20,5 +20,6 @@ mindspore.ops.standard_normal
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异常:
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- **TypeError** - `seed` 或 `seed2` 不是int类型。
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- **TypeError** - `shape` 不是Tuple。
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- **ValueError** - `shape` 不是常量值。
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- **TypeError** - `shape` 既不是tuple,也不是Tensor。
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- **ValueError** - `seed` 或 `seed2` 不是非负的int。
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- **ValueError** - `shape` 为tuple时,包含非正的元素。
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@ -249,17 +249,19 @@ def standard_normal(shape, seed=0, seed2=0):
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f(x)=\frac{1}{\sqrt{2 \pi}} e^{\left(-\frac{x^{2}}{2}\right)}
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Args:
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shape (tuple): The shape of random tensor to be generated. Only constant value is allowed.
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shape (Union[tuple, Tensor]): The shape of random tensor to be generated. Only constant value is allowed
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when the input type is tuple. And the operator supports dynamic shape only when the input type is Tensor.
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seed (int): Random seed, must be non-negative. Default: 0.
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seed2 (int): Random seed2, must be non-negative. A second seed to avoid seed collision. Default: 0.
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Returns:
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Tensor. The shape is the same as the input `shape`. The dtype is float32.
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Tensor. The shape that the input 'shape' denotes. The dtype is float32.
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Raises:
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TypeError: If `seed` or `seed2` is not an int.
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TypeError: If `shape` is not a tuple.
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ValueError: If `shape` is not a constant value.
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TypeError: If `shape` is neither a tuple nor a Tensor.
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ValueError: If `seed` or `seed2` is not a non-negative int.
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ValueError: If `shape` is a tuple containing non-positive items.
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Supported Platforms:
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``Ascend`` ``GPU`` ``CPU``
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