mirror of
https://github.com/huggingface/trl.git
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116 lines
5.0 KiB
Python
116 lines
5.0 KiB
Python
# Copyright 2020-2025 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import sys
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from io import StringIO
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from unittest.mock import patch
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import pytest
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import yaml
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from .testing_utils import TrlTestCase
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@pytest.mark.skipif(
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sys.version_info < (3, 10),
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reason="Transformers' generation codebase uses a Python >3.10 syntax (`str | None`), which seems to cause the CLI tests "
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"to fail on Python <3.10.", # let's say it's a known issue, but not expected to be fixed, because too niche
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)
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class TestCLI(TrlTestCase):
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def test_dpo(self):
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from trl.cli import main
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command = f"trl dpo --output_dir {self.tmp_dir} --model_name_or_path trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 --dataset_name trl-internal-testing/zen --dataset_config standard_preference --report_to none"
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with patch("sys.argv", command.split(" ")):
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main()
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def test_dpo_multiple_loss_types(self):
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from trl.cli import main
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command = f"trl dpo --output_dir {self.tmp_dir} --model_name_or_path trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 --dataset_name trl-internal-testing/zen --dataset_config standard_preference --report_to none --loss_type sigmoid bco_pair --loss_weights 1.0 0.5"
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with patch("sys.argv", command.split(" ")):
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main()
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@patch("sys.stdout", new_callable=StringIO)
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def test_env(self, mock_stdout):
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from trl.cli import main
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command = "trl env"
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with patch("sys.argv", command.split(" ")):
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main()
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assert "TRL version: " in mock_stdout.getvalue().strip()
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def test_grpo(self):
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from trl.cli import main
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command = f"trl grpo --output_dir {self.tmp_dir} --model_name_or_path trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 --reward_model_name_or_path trl-internal-testing/tiny-Qwen2ForSequenceClassification-2.5 --dataset_name trl-internal-testing/zen --dataset_config standard_prompt_only --num_generations 4 --max_completion_length 32 --report_to none"
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with patch("sys.argv", command.split(" ")):
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main()
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def test_kto(self):
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from trl.cli import main
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command = f"trl kto --output_dir {self.tmp_dir} --model_name_or_path trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 --dataset_name trl-internal-testing/zen --dataset_config standard_unpaired_preference --report_to none"
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with patch("sys.argv", command.split(" ")):
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main()
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def test_reward(self):
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from trl.cli import main
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command = f"trl reward --output_dir {self.tmp_dir} --model_name_or_path trl-internal-testing/tiny-Qwen2ForSequenceClassification-2.5 --dataset_name trl-internal-testing/zen --dataset_config standard_implicit_prompt_preference --report_to none"
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with patch("sys.argv", command.split(" ")):
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main()
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def test_rloo(self):
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from trl.cli import main
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command = f"trl rloo --output_dir {self.tmp_dir} --model_name_or_path trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 --reward_model_name_or_path trl-internal-testing/tiny-Qwen2ForSequenceClassification-2.5 --dataset_name trl-internal-testing/zen --dataset_config standard_prompt_only --num_generations 2 --max_completion_length 32 --report_to none"
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with patch("sys.argv", command.split(" ")):
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main()
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def test_sft(self):
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from trl.cli import main
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command = f"trl sft --output_dir {self.tmp_dir} --model_name_or_path trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 --dataset_name trl-internal-testing/zen --dataset_config standard_language_modeling --report_to none"
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with patch("sys.argv", command.split(" ")):
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main()
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def test_sft_config_file(self):
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from trl.cli import main
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output_dir = os.path.join(self.tmp_dir, "output")
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# Create a temporary config file
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config_path = os.path.join(self.tmp_dir, "config.yaml")
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config_content = {
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"model_name_or_path": "trl-internal-testing/tiny-Qwen2ForCausalLM-2.5",
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"dataset_name": "trl-internal-testing/zen",
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"dataset_config": "standard_language_modeling",
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"report_to": "none",
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"output_dir": output_dir,
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"lr_scheduler_type": "cosine_with_restarts",
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}
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with open(config_path, "w") as config_file:
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yaml.dump(config_content, config_file)
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# Test the CLI with config file
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command = f"trl sft --config {config_path}"
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with patch("sys.argv", command.split(" ")):
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main()
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# Verify that output directory was created
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assert os.path.exists(output_dir)
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