forked from mindspore-Ecosystem/mindspore
!14977 update document of matrixinverse
From: @mind-lh Reviewed-by: @liangchenghui,@wuxuejian Signed-off-by: @liangchenghui
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0df1ef53bf
mindspore/ops/operations
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@ -4493,7 +4493,7 @@ class MatrixInverse(PrimitiveWithInfer):
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Inputs:
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Inputs:
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- **x** (Tensor) - A matrix to be calculated. The matrix must be at least two dimensions, and the last two
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- **x** (Tensor) - A matrix to be calculated. The matrix must be at least two dimensions, and the last two
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dimensions must be the same size. types: float32, float64.
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dimensions must be the same size. types: float32, float64.
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Outputs:
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Outputs:
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Tensor, has the same type and shape as input `x`.
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Tensor, has the same type and shape as input `x`.
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@ -2339,7 +2339,7 @@ class SparseSoftmaxCrossEntropyWithLogits(PrimitiveWithInfer):
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``GPU`` ``CPU``
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``GPU`` ``CPU``
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Examples:
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Examples:
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Please refer to :class:`mindspore.nn.SparseSoftmaxCrossEntropyWithLogits`
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Please refer to :class:`mindspore.ops.SparseSoftmaxCrossEntropyWithLogits`
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"""
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"""
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@prim_attr_register
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@prim_attr_register
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