!34266 modify format

Merge pull request !34266 from 俞涵/code_docs_0512
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i-robot 2022-05-12 09:02:17 +00:00 committed by Gitee
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11 changed files with 12 additions and 17 deletions

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mindspore.ops.BitwiseAnd mindspore.ops.BitwiseAnd
================== ========================
.. py:class:: mindspore.ops.BitwiseAnd() .. py:class:: mindspore.ops.BitwiseAnd()

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mindspore.ops.BitwiseOr mindspore.ops.BitwiseOr
================== =======================
.. py:class:: mindspore.ops.BitwiseOr() .. py:class:: mindspore.ops.BitwiseOr()

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mindspore.ops.BitwiseXor mindspore.ops.BitwiseXor
================== ========================
.. py:class:: mindspore.ops.BitwiseXor() .. py:class:: mindspore.ops.BitwiseXor()

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mindspore.ops.Cdist mindspore.ops.Cdist
================== ===================
.. py:class:: mindspore.ops.Cdist() .. py:class:: mindspore.ops.Cdist()

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mindspore.ops.bitwise_and mindspore.ops.bitwise_and
======================== =========================
.. py:function:: mindspore.ops.bitwise_and(x, y) .. py:function:: mindspore.ops.bitwise_and(x, y)

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mindspore.ops.bitwise_xor mindspore.ops.bitwise_xor
======================== =========================
.. py:function:: mindspore.ops.bitwise_xor(x, y) .. py:function:: mindspore.ops.bitwise_xor(x, y)

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mindspore.ops.cdist mindspore.ops.cdist
================== ===================
.. py:function:: mindspore.ops.cdist(x, y, p) .. py:function:: mindspore.ops.cdist(x, y, p)

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mindspore.profiler
==================
.. automodule:: mindspore.profiler
:members:

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@ -710,7 +710,7 @@ class Softsign(Cell):
TypeError: If dtype of `input_x` is neither float16 nor float32. TypeError: If dtype of `input_x` is neither float16 nor float32.
Supported Platforms: Supported Platforms:
``Ascend`` `CPU`` ``Ascend`` ``CPU``
Examples: Examples:
>>> input_x = Tensor(np.array([0, -1, 2, 30, -30]), mindspore.float32) >>> input_x = Tensor(np.array([0, -1, 2, 30, -30]), mindspore.float32)

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@ -297,7 +297,7 @@ class Addcmul(Primitive):
output[i] = input\_data[i] + value[i] * (x1[i] * x2[i]) output[i] = input\_data[i] + value[i] * (x1[i] * x2[i])
Inputs: Inputs:
- **input_data**(Tensor) - The tensor to be added. - **input_data** (Tensor) - The tensor to be added.
- **x1** (Tensor) - The tensor to be multiplied. - **x1** (Tensor) - The tensor to be multiplied.
- **x2** (Tensor) - The tensor to be multiplied. - **x2** (Tensor) - The tensor to be multiplied.
- **value** (Tensor) - The multiplier for tensor x1*x2. - **value** (Tensor) - The multiplier for tensor x1*x2.

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@ -31,10 +31,10 @@ class TreeNodeHelper:
@staticmethod @staticmethod
def get_sub_tree(node: Node) -> Optional[SymbolTree]: def get_sub_tree(node: Node) -> Optional[SymbolTree]:
""" """
Getting symbol_tree from a `Tree` type `Node`. Getting symbol_tree from a `Tree` type `Node`.
Args: Args:
node (Node): A `Node` who may hold a sub-symbol_tree. node (Node): A `Node` who may hold a sub-symbol_tree.
Returns: Returns:
An instance of SymbolTree represents sub-symbol_tree. Note that `node`'s symbol_tree maybe None, in this An instance of SymbolTree represents sub-symbol_tree. Note that `node`'s symbol_tree maybe None, in this