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python/paddle/tensor/linalg.py

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@@ -800,7 +800,7 @@ def matrix_rank(x, tol=None, hermitian=False, name=None):
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If tol is not specified, and sigma is the largest singular value (or eigenvalue in absolute value), and eps is the
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epsilon value for the dtype of x, then tol is computed with formula tol=sigma * max(m,n) * eps. Note that if x is
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a batch of matrices, tol is computed this way for every batch.
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hermitian (bool,optional): indicates whether x is Hermitian. Default: False.
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hermitian (bool,optional): indicates whether x is Hermitian. Default: False.
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When hermitian=True, x is assumed to be Hermitian, but x is not checked inside the function. Instead, We just use the
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lower triangular of the matrix to compute.
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name (str, optional): Name for the operation (optional, default is None). For more information, please refer to :ref:`api_guide_Name`.

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