Compute the dot product of two one-dimensional single-precision floating-point ndarrays.
BLAS.
Create a zero-filled generic array.
Copy values from x into y.
BLAS Level 1 operations for ndarrays
BLAS memory layouts.
Calculate the dot product of two single-precision floating-point vectors.
Calculate the sum of strided array elements using pairwise summation.
Test if an input value is a supported ndarray data type.
BLAS matrix triangles.
Return an object mapping supported data type strings to data type objects.
Matrix orientations.
Base multidimensional array.
Add a scalar constant to each strided array element and compute the sum using pairwise summation.
Return the description for a provided data type.
Return the number of bytes per element for a provided underlying ndarray data type.
Return the data type string associated with a supported ndarray data type value.
Return the data type string associated with an ndarray data type enumeration constant.
BLAS operation sides.
Common symbols and type definitions shared across base BLAS APIs.
Test if an input value is an ndarray data type object.
BLAS diagonal element types.
Return the enumeration constant associated with a supported ndarray data type value.
Compute the minimum and maximum linear indices in an underlying data buffer which are accessible to an array view.