diff options
| author | Daniel Lawrence <danny.p.lawrence@gmail.com> | 2019-03-02 16:12:03 +0000 |
|---|---|---|
| committer | Daniel Lawrence <danny.p.lawrence@gmail.com> | 2019-03-02 16:12:03 +0000 |
| commit | 3e8818c0f3b19d76015d1ae0478a8b50701bd4b4 (patch) | |
| tree | 4309192549623b96a30a6be2927274e623770d2f /numpy/core/numeric.py | |
| parent | 39402815350257cab421975d31bd99a96afb3151 (diff) | |
| download | numpy-3e8818c0f3b19d76015d1ae0478a8b50701bd4b4.tar.gz | |
Fix spacing issue in tensordot docstring
Diffstat (limited to 'numpy/core/numeric.py')
| -rw-r--r-- | numpy/core/numeric.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index 1944ce4c7..42fee4eb7 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -1205,11 +1205,11 @@ def tensordot(a, b, axes=2): """ Compute tensor dot product along specified axes. - Given two tensors,`a` and `b`, and an array_like object containing + Given two tensors, `a` and `b`, and an array_like object containing two array_like objects, ``(a_axes, b_axes)``, sum the products of `a`'s and `b`'s elements (components) over the axes specified by ``a_axes`` and ``b_axes``. The third argument can be a single non-negative - integer_like scalar, ``N``; if it is such, then the last ``N``dimensions + integer_like scalar, ``N``; if it is such, then the last ``N`` dimensions of `a` and the first ``N`` dimensions of `b` are summed over. Parameters |