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a397693ca6
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@ -241,6 +241,7 @@ Reduction函数
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mindspore.ops.logsumexp
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mindspore.ops.max
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mindspore.ops.mean
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mindspore.ops.median
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mindspore.ops.min
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mindspore.ops.norm
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mindspore.ops.prod
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@ -85,6 +85,7 @@ Reduction Methods
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mindspore.Tensor.argmin_with_value
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mindspore.Tensor.max
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mindspore.Tensor.mean
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mindspore.Tensor.median
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mindspore.Tensor.min
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mindspore.Tensor.norm
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mindspore.Tensor.prod
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@ -243,6 +243,7 @@ Reduction Functions
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mindspore.ops.logsumexp
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mindspore.ops.max
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mindspore.ops.mean
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mindspore.ops.median
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mindspore.ops.min
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mindspore.ops.norm
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mindspore.ops.prod
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@ -4742,15 +4742,11 @@ class Tensor(Tensor_):
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axis (int): The dimension need to reduce. Default: 0.
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keepdim (bool): Whether the output tensor need to retain `axis` dimension or not. Default: False.
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Outputs:
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Not exist when global_median is True.
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Returns:
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y (Tensor) - Has the same dtype as the self Tensor.
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If `keep_dims` is true, the output tensors have the same dimension as the self Tensor except in
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dimension `axis` which are of size 1. Otherwise, the outputs tensor have 1 fewer dimension than input.
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y (Tensor) - Has the same dtype as the self Tensor. If `global_median` is true, the `y` has only one
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element. If `keep_dims` is true, the `y` has the same shape as the self Tensor except the shape of
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`y` in dimension `axis` is size 1. Otherwise, the `y` lacks `axis` dimension than input.
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indices (Tensor) - Has the same shape as the `y`, but dtype is int64.
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Not exist when global_median is True.
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Raises:
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TypeError: If dtype of self Tensor is not one of the following: int16, int32, int64, float32, double.
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@ -3087,7 +3087,7 @@ def median(x, global_median=False, axis=0, keep_dims=False):
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ValueError: If `axis` is not in range of [-x.dim, x.dim-1].
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Supported Platforms:
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``Ascend`` ``CPU`` ``GPU``
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``Ascend`` ``GPU`` ``CPU``
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Examples:
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>>> # case 1 : common median compute
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