87 lines
2.6 KiB
Python
87 lines
2.6 KiB
Python
import numpy as np
|
|
|
|
from numba.cuda.testing import skip_on_cudasim, CUDATestCase
|
|
from numba import cuda, float64
|
|
import unittest
|
|
|
|
|
|
def kernel_func(x):
|
|
x[0] = 1
|
|
|
|
|
|
def device_func(x, y, z):
|
|
return x * y + z
|
|
|
|
|
|
# Fragments of code that are removed from kernel_func's PTX when optimization
|
|
# is on
|
|
removed_by_opt = ( '__local_depot0', 'call.uni', 'st.param.b64')
|
|
|
|
|
|
@skip_on_cudasim('Simulator does not optimize code')
|
|
class TestOptimization(CUDATestCase):
|
|
def test_eager_opt(self):
|
|
# Optimization should occur by default
|
|
sig = (float64[::1],)
|
|
kernel = cuda.jit(sig)(kernel_func)
|
|
ptx = kernel.inspect_asm()
|
|
|
|
for fragment in removed_by_opt:
|
|
with self.subTest(fragment=fragment):
|
|
self.assertNotIn(fragment, ptx[sig])
|
|
|
|
def test_eager_noopt(self):
|
|
# Optimization disabled
|
|
sig = (float64[::1],)
|
|
kernel = cuda.jit(sig, opt=False)(kernel_func)
|
|
ptx = kernel.inspect_asm()
|
|
|
|
for fragment in removed_by_opt:
|
|
with self.subTest(fragment=fragment):
|
|
self.assertIn(fragment, ptx[sig])
|
|
|
|
def test_lazy_opt(self):
|
|
# Optimization should occur by default
|
|
kernel = cuda.jit(kernel_func)
|
|
x = np.zeros(1, dtype=np.float64)
|
|
kernel[1, 1](x)
|
|
|
|
# Grab the PTX for the one definition that has just been jitted
|
|
ptx = next(iter(kernel.inspect_asm().items()))[1]
|
|
|
|
for fragment in removed_by_opt:
|
|
with self.subTest(fragment=fragment):
|
|
self.assertNotIn(fragment, ptx)
|
|
|
|
def test_lazy_noopt(self):
|
|
# Optimization disabled
|
|
kernel = cuda.jit(opt=False)(kernel_func)
|
|
x = np.zeros(1, dtype=np.float64)
|
|
kernel[1, 1](x)
|
|
|
|
# Grab the PTX for the one definition that has just been jitted
|
|
ptx = next(iter(kernel.inspect_asm().items()))[1]
|
|
|
|
for fragment in removed_by_opt:
|
|
with self.subTest(fragment=fragment):
|
|
self.assertIn(fragment, ptx)
|
|
|
|
def test_device_opt(self):
|
|
# Optimization should occur by default
|
|
sig = (float64, float64, float64)
|
|
device = cuda.jit(sig, device=True)(device_func)
|
|
ptx = device.inspect_asm(sig)
|
|
self.assertIn('fma.rn.f64', ptx)
|
|
|
|
def test_device_noopt(self):
|
|
# Optimization disabled
|
|
sig = (float64, float64, float64)
|
|
device = cuda.jit(sig, device=True, opt=False)(device_func)
|
|
ptx = device.inspect_asm(sig)
|
|
# Fused-multiply adds should be disabled when not optimizing
|
|
self.assertNotIn('fma.rn.f64', ptx)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main()
|