ai-content-maker/.venv/Lib/site-packages/numba/cuda/tests/cudapy/test_alignment.py

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2024-05-03 04:18:51 +03:00
import numpy as np
from numba import from_dtype, cuda
from numba.cuda.testing import skip_on_cudasim, CUDATestCase
import unittest
class TestAlignment(CUDATestCase):
def test_record_alignment(self):
rec_dtype = np.dtype([('a', 'int32'), ('b', 'float64')], align=True)
rec = from_dtype(rec_dtype)
@cuda.jit((rec[:],))
def foo(a):
i = cuda.grid(1)
a[i].a = a[i].b
a_recarray = np.recarray(3, dtype=rec_dtype)
for i in range(a_recarray.size):
a_rec = a_recarray[i]
a_rec.a = 0
a_rec.b = (i + 1) * 123
foo[1, 3](a_recarray)
self.assertTrue(np.all(a_recarray.a == a_recarray.b))
@skip_on_cudasim('Simulator does not check alignment')
def test_record_alignment_error(self):
rec_dtype = np.dtype([('a', 'int32'), ('b', 'float64')])
rec = from_dtype(rec_dtype)
with self.assertRaises(Exception) as raises:
@cuda.jit((rec[:],))
def foo(a):
i = cuda.grid(1)
a[i].a = a[i].b
self.assertTrue('type float64 is not aligned' in str(raises.exception))
if __name__ == '__main__':
unittest.main()