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1fa3c6c | 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 | # Copyright 2020-2026 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.
from transformers import AutoModelForCausalLM
from trl.models.utils import disable_gradient_checkpointing
class TestDisableGradientCheckpointing:
def test_when_disabled(self):
model = AutoModelForCausalLM.from_pretrained("trl-internal-testing/tiny-Qwen2ForCausalLM-2.5")
assert model.is_gradient_checkpointing is False
with disable_gradient_checkpointing(model):
assert model.is_gradient_checkpointing is False
assert model.is_gradient_checkpointing is False
def test_when_enabled(self):
model = AutoModelForCausalLM.from_pretrained("trl-internal-testing/tiny-Qwen2ForCausalLM-2.5")
model.gradient_checkpointing_enable()
assert model.is_gradient_checkpointing is True
with disable_gradient_checkpointing(model):
assert model.is_gradient_checkpointing is False
assert model.is_gradient_checkpointing is True
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