commit
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@ -1,5 +1,5 @@
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mindspore.ops.BitwiseAnd
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==================
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========================
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.. py:class:: mindspore.ops.BitwiseAnd()
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@ -1,5 +1,5 @@
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mindspore.ops.BitwiseOr
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==================
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=======================
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.. py:class:: mindspore.ops.BitwiseOr()
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@ -1,5 +1,5 @@
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mindspore.ops.BitwiseXor
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==================
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========================
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.. py:class:: mindspore.ops.BitwiseXor()
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@ -1,5 +1,5 @@
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mindspore.ops.Cdist
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==================
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===================
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.. py:class:: mindspore.ops.Cdist()
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@ -1,5 +1,5 @@
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mindspore.ops.bitwise_and
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========================
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=========================
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.. py:function:: mindspore.ops.bitwise_and(x, y)
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@ -1,5 +1,5 @@
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mindspore.ops.bitwise_xor
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========================
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=========================
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.. py:function:: mindspore.ops.bitwise_xor(x, y)
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@ -1,5 +1,5 @@
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mindspore.ops.cdist
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==================
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===================
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.. py:function:: mindspore.ops.cdist(x, y, p)
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@ -1,5 +0,0 @@
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mindspore.profiler
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==================
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.. automodule:: mindspore.profiler
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:members:
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@ -710,7 +710,7 @@ class Softsign(Cell):
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TypeError: If dtype of `input_x` is neither float16 nor float32.
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Supported Platforms:
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``Ascend`` `CPU``
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``Ascend`` ``CPU``
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Examples:
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>>> input_x = Tensor(np.array([0, -1, 2, 30, -30]), mindspore.float32)
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@ -297,7 +297,7 @@ class Addcmul(Primitive):
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output[i] = input\_data[i] + value[i] * (x1[i] * x2[i])
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Inputs:
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- **input_data**(Tensor) - The tensor to be added.
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- **input_data** (Tensor) - The tensor to be added.
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- **x1** (Tensor) - The tensor to be multiplied.
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- **x2** (Tensor) - The tensor to be multiplied.
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- **value** (Tensor) - The multiplier for tensor x1*x2.
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@ -31,10 +31,10 @@ class TreeNodeHelper:
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@staticmethod
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def get_sub_tree(node: Node) -> Optional[SymbolTree]:
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"""
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Getting symbol_tree from a `Tree` type `Node`.
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Getting symbol_tree from a `Tree` type `Node`.
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Args:
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node (Node): A `Node` who may hold a sub-symbol_tree.
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Args:
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node (Node): A `Node` who may hold a sub-symbol_tree.
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Returns:
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An instance of SymbolTree represents sub-symbol_tree. Note that `node`'s symbol_tree maybe None, in this
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Reference in New Issue