File size: 1,693 Bytes
1faccd4 | 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 | # Copyright 2025 Bytedance Ltd. and/or its affiliates
#
# 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
#
# http://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.
import pytest
import ray
from verl.utils.ray_utils import parallel_put
# Initialize Ray for testing if not already done globally
@pytest.fixture()
def init_ray():
ray.init(num_cpus=4)
yield
ray.shutdown()
def test_parallel_put_basic(init_ray):
data = [1, "hello", {"a": 2}, [3, 4]]
refs = parallel_put(data)
assert len(refs) == len(data)
retrieved_data = [ray.get(ref) for ref in refs]
assert retrieved_data == data
def test_parallel_put_empty(init_ray):
data = []
with pytest.raises(AssertionError):
_ = parallel_put(data)
def test_parallel_put_workers(init_ray):
data = list(range(20))
# Test with specific number of workers
refs = parallel_put(data, max_workers=4)
assert len(refs) == len(data)
retrieved_data = [ray.get(ref) for ref in refs]
assert retrieved_data == data
# Test with default workers (should cap)
refs_default = parallel_put(data)
assert len(refs_default) == len(data)
retrieved_data_default = [ray.get(ref) for ref in refs_default]
assert retrieved_data_default == data
|