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Merged
sklam merged 33 commits into from
Mar 23, 2023
Merged

CUDA: Support multiple outputs for Generalized Ufuncs #8341

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b973ce2
Device GUFuncs: Enforce void or unspecified return type
gmarkall Aug 11, 2022
4a7b0eb
Device ufuncs: remove long-deprecated argtypes / restype support
gmarkall Aug 11, 2022
507c352
Device ufuncs: Make the kernelmap hold multiple output dtypes
gmarkall Aug 11, 2022
a43cdfc
Device ufuncs: return multiple output dtypes from schedule
gmarkall Aug 11, 2022
7a0a7bc
Device ufuncs: support callsteps holding multiple outputs
gmarkall Aug 11, 2022
9ba159c
Device ufuncs: More generality for multiple outputs in callsteps
gmarkall Aug 11, 2022
e927fc7
Device ufuncs: allow multiple kernel return values in callsteps
gmarkall Aug 11, 2022
e8b6c97
Device ufuncs: correct parameter passing for multiple outputs
gmarkall Aug 11, 2022
08e1835
CUDA ufuncs: another multiple output test
gmarkall Aug 11, 2022
b1e2dd6
Device ufuncs: fix allocation of multiple outputs
gmarkall Aug 11, 2022
6acf970
Merge remote-tracking branch 'numba/main' into issue-8303-2
gmarkall Nov 17, 2022
a650d54
Merge remote-tracking branch 'numba/main' into issue-8303-2
gmarkall Dec 2, 2022
24592e4
Skip ufunc multiple output tests on simulator
gmarkall Dec 2, 2022
d3e16c4
Merge remote-tracking branch 'numba/main' into issue-8303-2
gmarkall Feb 22, 2023
575592f
Device ufuncs: some refactors for clarity
gmarkall Feb 22, 2023
00da70f
Device ufuncs: rename `norm_inputs` to `inputs`
gmarkall Feb 22, 2023
f63ac9e
Device ufuncs: corrext description of kernelmap
gmarkall Feb 22, 2023
dac4659
Device gufunc call steps: remove some state
gmarkall Feb 22, 2023
c82575c
Device ufuncs: remove kernel_returnvalues from state
gmarkall Feb 22, 2023
b30def6
Device gufuncs: Implement call steps as an ABC
gmarkall Feb 22, 2023
8ade7fc
Device gufuncs: refactor input and output preparation
gmarkall Feb 22, 2023
e4d9e42
Device GUFuncs: Add docs and refactor
gmarkall Feb 22, 2023
583762a
Merge remote-tracking branch 'numba/main' into issue-8303-2
gmarkall Mar 7, 2023
4879b05
Remove `max_blocksize` from CUDA GUFuncs
gmarkall Mar 7, 2023
56a98d2
Merge remote-tracking branch 'numba/main' into issue-8303-2
gmarkall Mar 12, 2023
d73b7ec
Some stylistic fixes from PR #8341 feedback
gmarkall Mar 15, 2023
1a5f2f5
Rename [G]UFuncMechanism.device_array() to allocate_device_array()
gmarkall Mar 15, 2023
00eee0c
deviceufunc: clarify generality of implementation (PR #8341 feedback)
gmarkall Mar 15, 2023
efca2c5
deviceufunc.py: refer to normalized args
gmarkall Mar 15, 2023
f2a4ae3
deviceufunc.py: Clarify some docstrings, ensure `post_process_outputs()`
gmarkall Mar 15, 2023
3fe2a03
CUDA GUFuncs: Ensure the correct number of args is passed
gmarkall Mar 16, 2023
1b13d1d
CUDA GUfuncs: edit pos and kwarg argument exception message
gmarkall Mar 16, 2023
8c166f8
Device ufuncs: simplify formatting of "positional argument[s]"
gmarkall Mar 17, 2023
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Device ufuncs: rename norm_inputs to inputs 
The only work that the term `norm` is doing is making things more
confusing.
  • Loading branch information
@gmarkall
gmarkall committed Feb 22, 2023
commit 00da70f5c009bfb878b8da653871655bfe37c22f
12 changes: 6 additions & 6 deletions numba/np/ufunc/deviceufunc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -634,7 +634,7 @@ def __call__(self, *args, **kws):
args, kws)
callsteps.prepare_inputs()
indtypes, schedule, outdtypes, kernel = self._schedule(
callsteps.norm_inputs, callsteps.outputs)
callsteps.inputs, callsteps.outputs)
callsteps.adjust_input_types(indtypes)
callsteps.allocate_outputs(schedule, outdtypes)
callsteps.prepare_kernel_parameters()
Expand Down Expand Up @@ -728,7 +728,7 @@ class GUFuncCallSteps(object):
'args',
'kwargs',
'outputs',
'norm_inputs',
'inputs',
'kernel_returnvalues',
'kernel_parameters',
'_copy_result_to_host',
Expand Down Expand Up @@ -783,17 +783,17 @@ def adjust_input_types(self, indtypes):
Attempt to cast the inputs to the required types if necessary
and if they are not device array.

Side effect: Only affects the element of `norm_inputs` that requires
Side effect: Only affects the elements of `inputs` that require
a type cast.
"""
for i, (ity, val) in enumerate(zip(indtypes, self.norm_inputs)):
for i, (ity, val) in enumerate(zip(indtypes, self.inputs)):
if ity != val.dtype:
if not hasattr(val, 'astype'):
msg = ("compatible signature is possible by casting but "
"{0} does not support .astype()").format(type(val))
raise TypeError(msg)
# Cast types
self.norm_inputs[i] = val.astype(ity)
self.inputs[i] = val.astype(ity)

def allocate_outputs(self, schedule, outdtypes):
retvals = []
Expand All @@ -816,7 +816,7 @@ def ensure_device(parameter):

return convert(parameter)

parameters = [ensure_device(p) for p in self.norm_inputs]
parameters = [ensure_device(p) for p in self.inputs]
assert all(self.is_device_array(a) for a in parameters)
self.kernel_parameters = parameters

Expand Down