chore: import upstream snapshot with attribution

python/paddle/linalg.py

@@ -0,0 +1,134 @@
+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from paddle import Tensor
+
+from .tensor import inverse as inv
+from .tensor.linalg import (
+    cholesky,
+    cholesky_inverse,
+    cholesky_solve,
+    cond,
+    corrcoef,
+    cov,
+    det,
+    diagonal,
+    eig,
+    eigh,
+    eigvals,
+    eigvalsh,
+    fp8_fp8_half_gemm_fused,
+    householder_product,
+    lstsq,
+    lu,
+    lu_solve,
+    lu_unpack,
+    matmul,
+    matrix_exp,
+    matrix_norm,
+    matrix_power,
+    matrix_rank,
+    matrix_transpose,
+    multi_dot,
+    norm,
+    ormqr,
+    pca_lowrank,
+    pinv,
+    qr,
+    slogdet,
+    solve,
+    svd,
+    svd_lowrank,
+    svdvals,
+    triangular_solve,
+    vecdot,
+    vector_norm,
+)
+
+__all__ = [
+    'cholesky',
+    'cholesky_inverse',
+    'norm',
+    'matrix_norm',
+    'vecdot',
+    'vector_norm',
+    'cond',
+    'cov',
+    'corrcoef',
+    'cross',
+    'inv',
+    'eig',
+    'eigvals',
+    'multi_dot',
+    'matrix_rank',
+    'matrix_transpose',
+    'matmul',
+    'svd',
+    'svdvals',
+    'qr',
+    'householder_product',
+    'pca_lowrank',
+    'svd_lowrank',
+    'lu',
+    'lu_solve',
+    'lu_unpack',
+    'matrix_exp',
+    'matrix_power',
+    'det',
+    'slogdet',
+    'eigh',
+    'eigvalsh',
+    'pinv',
+    'solve',
+    'cholesky_solve',
+    'triangular_solve',
+    'lstsq',
+    'ormqr',
+    'fp8_fp8_half_gemm_fused',
+    'diagonal',
+]
+
+
+def cross(
+    input: Tensor,
+    other: Tensor,
+    *,
+    dim: int = -1,
+    out: Tensor | None = None,
+) -> Tensor:
+    """
+    Computes the cross product of two 3-dimensional vectors along the specified dimension.
+
+    Refer to :ref:`api_paddle_cross` for more detail.
+
+    Args:
+        input (Tensor): The first input tensor.
+        other (Tensor): The second input tensor.
+        dim (int, optional): The dimension along which to compute the cross product.
+            Default: -1, which means the last dimension.
+        out (Tensor, optional): The output tensor. Default: None.
+        name (str, optional): Name for the operation. For more information, please
+            refer to :ref:`api_guide_Name`. Default: None.
+
+    Returns:
+        Tensor: The cross product of ``input`` and ``other``.
+    """
+    import paddle
+
+    return paddle.cross(input, other, axis=dim, out=out)