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Keval Morabia
dcdc2df084
Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
37 lines
1.4 KiB
Python
37 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 os
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import pytest
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from _test_utils.examples.run_command import MODELOPT_ROOT, 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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dataset_path = MODELOPT_ROOT / "examples/speculative_decoding/Daring-Anteater"
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if not os.path.exists(dataset_path):
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run_example_command(
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["git", "clone", "https://huggingface.co/datasets/nvidia/Daring-Anteater"],
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"speculative_decoding",
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)
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output_path = tmp_path_factory.mktemp("daring_anteater") / "train.jsonl"
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with open(dataset_path / "train.jsonl") as src, open(output_path, "w") as dst:
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for i, line in enumerate(src):
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if i >= 128:
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break
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dst.write(line)
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return output_path
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