From 2d112a98ed7597c4120b31908384ae09b0304659 Mon Sep 17 00:00:00 2001 From: Aaron Meurer Date: Sat, 25 Sep 2021 17:34:22 -0500 Subject: ENH: Updates to numpy.array_api (#19937) * Add __index__ to array_api and update __int__, __bool__, and __float__ The spec specifies that they should only work on arrays with corresponding dtypes. __index__ is new in the spec since the initial PR, and works identically to np.array.__index__. * Add the to_device method to the array_api This method is new since #18585. It does nothing in NumPy since NumPy does not support non-CPU devices. * Update transpose methods in the array_api transpose() was renamed to matrix_transpose() and now operates on stacks of matrices. A function to permute dimensions will be added once it is finalized in the spec. The attribute mT was added and the T attribute was updated to only operate on 2-dimensional arrays as per the spec. * Restrict input dtypes in the array API statistical functions * Add the dtype parameter to the array API sum() and prod() * Add the function permute_dims() to the array_api namespace permute_dims() is the replacement for transpose(), which was split into permute_dims() and matrix_transpose(). * Add tril and triu to the array API namespace * Fix the array_api Array.__repr__ to indent the array properly * Make the Device type in the array_api just accept the string "cpu" --- numpy/array_api/_linear_algebra_functions.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) (limited to 'numpy/array_api/_linear_algebra_functions.py') diff --git a/numpy/array_api/_linear_algebra_functions.py b/numpy/array_api/_linear_algebra_functions.py index 089081725..7a6c9846c 100644 --- a/numpy/array_api/_linear_algebra_functions.py +++ b/numpy/array_api/_linear_algebra_functions.py @@ -52,13 +52,12 @@ def tensordot( return Array._new(np.tensordot(x1._array, x2._array, axes=axes)) -def transpose(x: Array, /, *, axes: Optional[Tuple[int, ...]] = None) -> Array: - """ - Array API compatible wrapper for :py:func:`np.transpose `. - - See its docstring for more information. - """ - return Array._new(np.transpose(x._array, axes=axes)) +# Note: this function is new in the array API spec. Unlike transpose, it only +# transposes the last two axes. +def matrix_transpose(x: Array, /) -> Array: + if x.ndim < 2: + raise ValueError("x must be at least 2-dimensional for matrix_transpose") + return Array._new(np.swapaxes(x._array, -1, -2)) # Note: vecdot is not in NumPy -- cgit v1.2.1