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There is 42 of them: char1, uchar1, char2, uchar2, char3, uchar3, char4, uchar4, short1, ushort1, short2, ushort2, short3, ushort3, short4, ushort4, int1, uint1, int2, uint2, int3, uint3, int4, uint4, long1, ulong1, long2, ulong2, long3, ulong3, long4, ulong4, longlong1, ulonglong1, longlong2, ulonglong2, float1, float2, float3, float4, double1, double2
There is 2 way to implement them: add basic typenum as for other basic dtype or use a system like numpy composite dtype. I'm not sure what is best.
The text was updated successfully, but these errors were encountered:
FWIW, pyopencl and pycuda have gone the composite type route.
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I will look at how you do it when I attach this problem.
thanks
Merge pull request inducer#1 from inducer/arnaud-reorg
5e5b7da
Two fixes
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There is 42 of them:
char1, uchar1, char2, uchar2, char3, uchar3,
char4, uchar4, short1, ushort1, short2, ushort2,
short3, ushort3, short4, ushort4, int1, uint1, int2,
uint2, int3, uint3, int4, uint4, long1, ulong1,
long2, ulong2, long3, ulong3, long4, ulong4,
longlong1, ulonglong1, longlong2, ulonglong2,
float1, float2, float3, float4, double1, double2
There is 2 way to implement them: add basic typenum as for other basic dtype or use a system like numpy composite dtype. I'm not sure what is best.
The text was updated successfully, but these errors were encountered: