Use type templates
Use C templates to support different numpy array data types (dtype). The package should support the following numpy dtypes:
-
float(64, 32 and 16 bit) -
int(64, 32 and 16 bit) -
uint(64, 32 and 16 bit)
Conceptionally it is not possible to support complex, since there is no natural order for complex numbers.
To upload designs, you'll need to enable LFS and have an admin enable hashed storage. More information
No child items are currently assigned. Use child items to break down this issue into smaller parts.
Related merge requests 1
When this merge request is accepted, this issue will be closed automatically.
Activity
mentioned in issue #4 (closed)
added enhancement label
changed milestone to %Version 0.1.0
added in progress label
assigned to @frank
created branch
5-use-type-templatesmentioned in merge request !8 (merged)
removed in progress label
closed via commit d44bdea8
closed via merge request !8 (merged)
Please register or sign in to reply