Revision 66b182b735503db3a7bbc956b2fc1d30d897505b authored by Matthew Johnson on 06 December 2019, 15:44:12 UTC, committed by Matthew Johnson on 06 December 2019, 19:12:59 UTC
1 parent 1da950d
multibackend_test.py
# Copyright 2018 Google LLC
#
# 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 __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from functools import partial
from absl.testing import absltest
from absl.testing import parameterized
import numpy as onp
import numpy.random as npr
import six
from unittest import SkipTest
from jax import api
from jax import test_util as jtu
from jax import numpy as np
from jax.config import config
config.parse_flags_with_absl()
FLAGS = config.FLAGS
npr.seed(0)
class MultiBackendTest(jtu.JaxTestCase):
"""Tests jit targeting to different backends."""
@parameterized.named_parameters(jtu.cases_from_list(
{"testcase_name": "_backend={}".format(backend),
"backend": backend,
}
for backend in ['cpu', 'gpu', 'tpu', None]
))
def testMultiBackend(self, backend):
if backend not in ('cpu', jtu.device_under_test(), None):
raise SkipTest()
@partial(api.jit, backend=backend)
def fun(x, y):
return np.matmul(x, y)
x = npr.uniform(size=(10,10))
y = npr.uniform(size=(10,10))
z_host = onp.matmul(x, y)
z = fun(x, y)
self.assertAllClose(z, z_host, check_dtypes=True, rtol=1e-2)
correct_platform = backend if backend else jtu.device_under_test()
self.assertEqual(z.device_buffer.platform(), correct_platform)
@parameterized.named_parameters(jtu.cases_from_list(
{"testcase_name": "_ordering={}".format(ordering),
"ordering": ordering,}
for ordering in [('cpu', None), ('gpu', None), ('tpu', None), (None, None)]))
def testMultiBackendNestedJit(self, ordering):
outer, inner = ordering
if outer not in ('cpu', jtu.device_under_test(), None):
raise SkipTest()
@partial(api.jit, backend=outer)
def fun(x, y):
@partial(api.jit, backend=inner)
def infun(x, y):
return np.matmul(x, y)
return infun(x, y) + np.ones_like(x)
x = npr.uniform(size=(10,10))
y = npr.uniform(size=(10,10))
z_host = onp.matmul(x, y) + onp.ones_like(x)
z = fun(x, y)
self.assertAllClose(z, z_host, check_dtypes=True, rtol=1e-2)
correct_platform = outer if outer else jtu.device_under_test()
self.assertEqual(z.device_buffer.platform(), correct_platform)
@parameterized.named_parameters(jtu.cases_from_list(
{"testcase_name": "_ordering={}".format(ordering),
"ordering": ordering,}
for ordering in [
('cpu', 'gpu'), ('gpu', 'cpu'),
('cpu', 'tpu'), ('tpu', 'cpu'),
(None, 'cpu'), (None, 'gpu'), (None, 'tpu'),
]))
def testMultiBackendNestedJitConflict(self, ordering):
outer, inner = ordering
if outer not in ('cpu', jtu.device_under_test(), None):
raise SkipTest()
if inner not in ('cpu', jtu.device_under_test(), None):
raise SkipTest()
@partial(api.jit, backend=outer)
def fun(x, y):
@partial(api.jit, backend=inner)
def infun(x, y):
return np.matmul(x, y)
return infun(x, y) + np.ones_like(x)
x = npr.uniform(size=(10,10))
y = npr.uniform(size=(10,10))
self.assertRaises(ValueError, lambda: fun(x, y))
@parameterized.named_parameters(jtu.cases_from_list(
{"testcase_name": "_backend={}".format(backend),
"backend": backend,}
for backend in ['cpu', 'gpu', 'tpu']
))
def testGpuMultiBackendOpByOpReturn(self, backend):
if backend not in ('cpu', jtu.device_under_test()):
raise SkipTest()
@partial(api.jit, backend=backend)
def fun(x, y):
return np.matmul(x, y)
x = npr.uniform(size=(10,10))
y = npr.uniform(size=(10,10))
z = fun(x, y)
w = np.sin(z)
self.assertEqual(z.device_buffer.platform(), backend)
self.assertEqual(w.device_buffer.platform(), jtu.device_under_test())
if __name__ == "__main__":
absltest.main()
![swh spinner](/static/img/swh-spinner.gif)
Computing file changes ...