mirror of
https://github.com/ROCm/jax.git
synced 2025-04-17 12:26:07 +00:00
94 lines
3.1 KiB
Python
94 lines
3.1 KiB
Python
# Copyright 2020 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 absl.testing import absltest
|
|
|
|
from jax._src import linear_util as lu
|
|
from jax._src import test_util as jtu
|
|
|
|
from jax.config import config
|
|
from jax._src.util import weakref_lru_cache
|
|
config.parse_flags_with_absl()
|
|
FLAGS = config.FLAGS
|
|
|
|
class UtilTest(jtu.JaxTestCase):
|
|
|
|
def test_wrapped_fun_transforms(self):
|
|
"""Test a combination of transforms."""
|
|
|
|
def f(*args, **kwargs):
|
|
"""The function to be transformed.
|
|
Scales the positional arguments by a factor.
|
|
Takes only one keyword argument, the factor to scale by."""
|
|
factor = kwargs.pop('factor', 2) # For PY2
|
|
assert not kwargs
|
|
return tuple(a * factor for a in args)
|
|
|
|
@lu.transformation_with_aux
|
|
def kw_to_positional(factor, *args, **kwargs):
|
|
"""A transformation with auxiliary output.
|
|
Turns all keyword parameters into positional ones.
|
|
|
|
On entry, append the values of the keyword arguments to the positional
|
|
arguments. On exit, take a list of results and recreate a dictionary
|
|
from the tail of the results. The auxiliary output is the list of
|
|
keyword keys.
|
|
"""
|
|
kwargs_keys = kwargs.keys()
|
|
new_args = tuple(kwargs[k] for k in kwargs_keys)
|
|
new_kwargs = dict(factor=factor)
|
|
results = yield args + new_args, new_kwargs # Yield transformed (args, kwargs)
|
|
# Assume results correspond 1:1 to the args + new_args
|
|
assert len(results) == len(args) + len(new_args)
|
|
aux_output = len(new_args)
|
|
yield (results[0:len(args)],
|
|
dict(zip(kwargs_keys, results[len(args):]))), aux_output
|
|
|
|
|
|
wf = lu.wrap_init(f) # Wraps `f` as a `WrappedFun`.
|
|
wf, out_thunk = kw_to_positional(wf, 2)
|
|
# Call the transformed function.
|
|
scaled_positional, scaled_kwargs = wf.call_wrapped(1, 2, three=3, four=4)
|
|
self.assertEqual((2, 4), scaled_positional)
|
|
self.assertEqual(dict(three=6, four=8), scaled_kwargs)
|
|
self.assertEqual(2, out_thunk())
|
|
|
|
def test_weakref_lru_cache(self):
|
|
@weakref_lru_cache
|
|
def example_cached_fn(key):
|
|
return object()
|
|
|
|
class Key:
|
|
def __init__(self):
|
|
# Make a GC loop.
|
|
self.ref_loop = [self]
|
|
|
|
stable_keys = [Key() for _ in range(2049)]
|
|
for i in range(10000):
|
|
example_cached_fn(stable_keys[i % len(stable_keys)])
|
|
example_cached_fn(Key())
|
|
|
|
def test_weakref_lru_cache_asan_problem(self):
|
|
|
|
@weakref_lru_cache
|
|
def reference_loop_generator(x):
|
|
return x
|
|
|
|
for _ in range(4097):
|
|
reference_loop_generator(lambda x: x)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
absltest.main(testLoader=jtu.JaxTestLoader())
|