-
Notifications
You must be signed in to change notification settings - Fork 2.6k
/
pgle_test.py
74 lines (62 loc) · 2.27 KB
/
pgle_test.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
# Copyright 2023 The JAX Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from functools import partial
import glob
import logging
import math
import os
import tempfile
from absl.testing import absltest
import jax
from jax import config
from jax._src import test_util as jtu
from jax.sharding import NamedSharding
from jax.experimental import profiler as exp_profiler
import jax.numpy as jnp
from jax.sharding import PartitionSpec as P
import numpy as np
config.parse_flags_with_absl()
@jtu.pytest_mark_if_available('multiaccelerator')
class PgleTest(jtu.JaxTestCase):
def testPassingFDOProfile(self):
mesh = jtu.create_global_mesh((2,), ('x',))
@partial(
jax.jit,
in_shardings=NamedSharding(mesh, P('x',)),
out_shardings=NamedSharding(mesh, P('x',)),
)
def f(x, y):
z = x @ y
return z @ y
shape = (8, 8)
x = jnp.arange(math.prod(shape)).reshape(shape).astype(np.float32)
y = x + 1
f_lowered = f.lower(x, y)
compiled = f_lowered.compile()
with tempfile.TemporaryDirectory() as tmpdir:
jax.profiler.start_trace(tmpdir)
compiled(x, y)
jax.profiler.stop_trace()
directories = glob.glob(os.path.join(tmpdir, 'plugins/profile/**/'))
directories = [d for d in directories if os.path.isdir(d)]
rundir = directories[-1]
logging.info('rundir: %s', rundir)
fdo_profile = exp_profiler.get_profiled_instructions_proto(rundir)
if jtu.device_under_test() == 'gpu' and jtu.is_device_cuda():
self.assertIn(b'custom', fdo_profile)
logging.info('fdo_profile: %s', fdo_profile)
# Test pass fdo_profile as compiler_options API works.
f_lowered.compile(compiler_options={'fdo_profile': fdo_profile})
if __name__ == '__main__':
absltest.main(testLoader=jtu.JaxTestLoader())