Comments (3)
inducer
commented on August 29, 2024
Thanks for the report! As you can probably tell from the surrounding code, the intention is for these types to all be sized, and np.bool isn't (just like np.int isn't, technically). I think np.bool8 would be the correct replacement. (https://numpy.org/doc/stable/reference/arrays.scalars.html?highlight=bool_#numpy.bool8) #33 makes that change, inducer/loopy#236 pulls it into loopy, inducer/pyopencl#434 pulls it into pyopencl, https://gitlab.tiker.net/inducer/pycuda/-/merge_requests/43 pulls it into pycuda.
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inducer
commented on August 29, 2024
FWIW, I've verified that np.bool8 is available back to at least Numpy 1.18.5.
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danshapero
commented on August 29, 2024
Ah that makes perfect sense, thanks so much Andreas!
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Related Issues (20)
- Some fix when the output have 0 dimensions.
- dtype in the C struct HOT 2
- Make cuda/opencl copy use the elemwise code with collapsing.
- reshape
- transpose in n-dimensions
- implement cast in the object. HOT 5
- allow from python to change shape and strides
- Mixed stuff HOT 3
- Complex in Gpundarray on opencl
- For elemwise, remove duplication indexing when some inputs have the same strides patterns
- Deprecation? HOT 9
- numpy.lib.stride_tricks.as_strided() does not preserve some structured dtypes
- Should ignore one-long dimensions in stride computation/contiguity determination
- Signed/unsigned char on different platforms HOT 1
- remove the .gpudata field HOT 2
- Add a context argument to device_alloc HOT 2
- elemwise: implement/test collapsing with input in column major format.
- elemwise: if all inputs are in column major layout, set the output in the same layout
- fix crash at exit.
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