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https://github.com/NVIDIA/Model-Optimizer.git
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Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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 pytest
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import yaml
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from _test_utils.examples.run_command import run_example_command
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@pytest.fixture(scope="session", autouse=True)
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def tiny_daring_anteater_path(tmp_path_factory):
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tmp_dir = tmp_path_factory.mktemp("daring_anteater")
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output_file = tmp_dir / "train.jsonl"
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config = {
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"outputs": [
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{
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"filename": str(output_file),
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"global_limit": 100,
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"sources": [{"name": "daring-anteater", "splits": {"all": 100}}],
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}
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]
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}
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config_path = tmp_dir / "data_config.yaml"
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config_path.write_text(yaml.dump(config))
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run_example_command(
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["python", "make_dataset.py", "-f", str(config_path), "--full-conversations"], "dataset"
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)
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return output_file
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