File size: 2,003 Bytes
29b0094 | 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 | # Copyright 2024 The HuggingFace Inc. 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 subprocess
import sys
import unittest
class CLITester(unittest.TestCase):
@unittest.skipIf(sys.platform.startswith("win"), "Skipping on Windows")
def test_sft_cli(self):
try:
subprocess.run(
"trl sft --max_steps 1 --output_dir tmp-sft --model_name_or_path trl-internal-testing/tiny-random-LlamaForCausalLM --dataset_name stanfordnlp/imdb --learning_rate 1e-4 --lr_scheduler_type cosine",
shell=True,
check=True,
)
except BaseException:
self.fail("An error occurred while running the CLI, please double check")
@unittest.skipIf(sys.platform.startswith("win"), "Skipping on Windows")
def test_dpo_cli(self):
try:
subprocess.run(
"trl dpo --max_steps 1 --output_dir tmp-dpo --model_name_or_path trl-internal-testing/tiny-random-LlamaForCausalLM --dataset_name trl-internal-testing/tiny-ultrafeedback-binarized --learning_rate 1e-4 --lr_scheduler_type cosine",
shell=True,
check=True,
)
except BaseException:
self.fail("An error occurred while running the CLI, please double check")
def test_env_cli(self):
output = subprocess.run("trl env", capture_output=True, text=True, shell=True, check=True)
self.assertIn("- Python version: ", output.stdout)
|