mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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49 lines
1.5 KiB
Python
49 lines
1.5 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2024 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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#!/usr/bin/env python3
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import argparse
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import os
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from pathlib import Path
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import numpy as np
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("input_lora")
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parser.add_argument("output")
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parser.add_argument("num_loras", type=int)
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args = parser.parse_args()
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lora_path = Path(args.input_lora)
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weights_path = lora_path / "model.lora_weights.npy"
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config_path = lora_path / "model.lora_config.npy"
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weights = np.load(weights_path)
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config = np.load(config_path)
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for i in range(args.num_loras):
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out_path = Path(args.output) / str(i)
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os.makedirs(out_path, exist_ok=True)
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w = np.random.normal(0, 2, weights.shape).astype(weights.dtype)
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np.save(out_path / "model.lora_weights.npy", w)
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np.save(out_path / "model.lora_config.npy", config)
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if __name__ == "__main__":
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main()
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