NeMo_Canary / tests /core /test_fault_tolerance.py
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# Copyright (c) 2020, NVIDIA CORPORATION. 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 os
import lightning.pytorch as pl
import pytest
from nemo.utils.exp_manager import exp_manager
try:
from ptl_resiliency import FaultToleranceCallback
HAVE_FT = True
except (ImportError, ModuleNotFoundError):
HAVE_FT = False
@pytest.mark.skipif(not HAVE_FT, reason="requires resiliency package to be installed.")
class TestFaultTolerance:
@pytest.mark.unit
def test_fault_tol_callback_not_created_by_default(self):
"""There should be no FT callback by default"""
test_conf = {"create_tensorboard_logger": False, "create_checkpoint_callback": False}
test_trainer = pl.Trainer(accelerator='cpu')
ft_callback_found = None
exp_manager(test_trainer, test_conf)
for cb in test_trainer.callbacks:
if isinstance(cb, FaultToleranceCallback):
ft_callback_found = cb
assert ft_callback_found is None
@pytest.mark.unit
def test_fault_tol_callback_created(self):
"""Verify that fault tolerance callback is created"""
try:
os.environ['FAULT_TOL_CFG_PATH'] = "/tmp/dummy"
test_conf = {
"create_tensorboard_logger": False,
"create_checkpoint_callback": False,
"create_fault_tolerance_callback": True,
}
test_trainer = pl.Trainer(accelerator='cpu')
ft_callback_found = None
exp_manager(test_trainer, test_conf)
for cb in test_trainer.callbacks:
if isinstance(cb, FaultToleranceCallback):
ft_callback_found = cb
assert ft_callback_found is not None
finally:
del os.environ['FAULT_TOL_CFG_PATH']