cummax函数名修正
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@ -403,7 +403,7 @@ Array操作
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mindspore.ops.Cast
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mindspore.ops.Concat
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mindspore.ops.ConjugateTranspose
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mindspore.ops.CumMax
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mindspore.ops.Cummax
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mindspore.ops.CumProd
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mindspore.ops.CumSum
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mindspore.ops.DataFormatDimMap
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@ -1,8 +0,0 @@
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mindspore.ops.CumMax
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=====================
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.. py:class:: mindspore.ops.CumMax(axis)
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返回输入Tensor在指定轴上的累计最大值与其对应的索引。
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更多参考详见 :func:`mindspore.ops.cummax` 。
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@ -0,0 +1,8 @@
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mindspore.ops.Cummax
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=====================
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.. py:class:: mindspore.ops.Cummax(axis)
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返回输入Tensor在指定轴上的累计最大值与其对应的索引。
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更多参考详见 :func:`mindspore.ops.cummax` 。
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@ -403,7 +403,7 @@ Array Operation
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mindspore.ops.Cast
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mindspore.ops.Concat
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mindspore.ops.ConjugateTranspose
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mindspore.ops.CumMax
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mindspore.ops.Cummax
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mindspore.ops.CumProd
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mindspore.ops.CumSum
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mindspore.ops.DataFormatDimMap
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@ -6996,7 +6996,7 @@ class UpperBound(Primitive):
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self.init_prim_io_names(inputs=['sorted_x', 'values'], outputs=['y'])
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class CumMax(Primitive):
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class Cummax(Primitive):
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"""
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Returns the cumulative maximum of elements and the index.
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@ -7010,7 +7010,7 @@ class CumMax(Primitive):
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>>> import numpy as np
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>>> from mindspore import Tensor
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>>> import mindspore.ops as ops
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>>> cummax = ops.CumMax(axis=0)
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>>> cummax = ops.Cummax(axis=0)
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>>> x = Tensor(np.array([[3, 4, 6, 10], [1, 6, 7, 9], [4, 3, 8, 7], [1, 3, 7, 9]]).astype(np.float32))
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>>> output = cummax(x)
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>>> print(output[0])
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@ -7027,7 +7027,7 @@ class CumMax(Primitive):
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@prim_attr_register
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def __init__(self, axis):
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"""Initialize CumMax"""
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"""Initialize Cummax"""
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validator.check_value_type("axis", axis, [int], self.name)
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self.init_prim_io_names(inputs=['x'], outputs=['y', 'indices'])
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self.add_prim_attr("dim", axis)
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