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c13737d | 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 | # Copyright 2021 The HuggingFace Team. All rights reserved.
#
# 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 inspect
import os
import unittest
import torch
import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
execute_subprocess_async,
require_cpu,
require_multi_gpu,
require_single_gpu,
test_sync,
)
from accelerate.utils import get_launch_prefix, patch_environment
class SyncScheduler(unittest.TestCase):
def setUp(self):
mod_file = inspect.getfile(accelerate.test_utils)
self.test_file_path = os.path.sep.join(mod_file.split(os.path.sep)[:-1] + ["scripts", "test_sync.py"])
@require_cpu
def test_gradient_sync_cpu_noop(self):
debug_launcher(test_sync.main, num_processes=1)
@require_cpu
def test_gradient_sync_cpu_multi(self):
debug_launcher(test_sync.main)
@require_single_gpu
def test_gradient_sync_gpu(self):
test_sync.main()
@require_multi_gpu
def test_gradient_sync_gpu_multi(self):
print(f"Found {torch.cuda.device_count()} devices.")
cmd = get_launch_prefix() + [f"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
with patch_environment(omp_num_threads=1):
execute_subprocess_async(cmd, env=os.environ.copy())
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