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-rw-r--r--numpy/array_api/linalg.py13
1 files changed, 12 insertions, 1 deletions
diff --git a/numpy/array_api/linalg.py b/numpy/array_api/linalg.py
index a4a2f23e4..d214046ef 100644
--- a/numpy/array_api/linalg.py
+++ b/numpy/array_api/linalg.py
@@ -379,7 +379,18 @@ def trace(x: Array, /, *, offset: int = 0) -> Array:
def vecdot(x1: Array, x2: Array, /, *, axis: int = -1) -> Array:
if x1.dtype not in _numeric_dtypes or x2.dtype not in _numeric_dtypes:
raise TypeError('Only numeric dtypes are allowed in vecdot')
- return tensordot(x1, x2, axes=((axis,), (axis,)))
+ ndim = max(x1.ndim, x2.ndim)
+ x1_shape = (1,)*(ndim - x1.ndim) + tuple(x1.shape)
+ x2_shape = (1,)*(ndim - x2.ndim) + tuple(x2.shape)
+ if x1_shape[axis] != x2_shape[axis]:
+ raise ValueError("x1 and x2 must have the same size along the given axis")
+
+ x1_, x2_ = np.broadcast_arrays(x1._array, x2._array)
+ x1_ = np.moveaxis(x1_, axis, -1)
+ x2_ = np.moveaxis(x2_, axis, -1)
+
+ res = x1_[..., None, :] @ x2_[..., None]
+ return Array._new(res[..., 0, 0])
# Note: the name here is different from norm(). The array API norm is split