mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-13 22:18:36 +08:00
113 lines
3.7 KiB
Python
113 lines
3.7 KiB
Python
#!/usr/bin/env python3
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# 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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import glob
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import os
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import shutil
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import subprocess
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import time
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from argparse import ArgumentParser
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from pathlib import Path
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def get_project_dir():
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return Path(__file__).parent.resolve().parent
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def add_arguments(parser: ArgumentParser):
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parser.add_argument("--arch",
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"-a",
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required=True,
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help="Architecture of the built package")
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parser.add_argument("--artifact_path",
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"-u",
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required=True,
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help="the path of the built package")
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parser.add_argument("--timeout",
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"-t",
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type=int,
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default=60,
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help="Timeout in minutes")
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def get_wheel_from_package(arch, artifact_path, timeout):
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if arch == "x86_64":
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tarfile_name = "TensorRT-LLM.tar.gz"
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else:
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tarfile_name = "TensorRT-LLM-GH200.tar.gz"
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tarfile_link = f"https://urm.nvidia.com/artifactory/{artifact_path}/{tarfile_name}"
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for attempt in range(timeout):
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try:
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subprocess.run(["wget", "-nv", tarfile_link], check=True)
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print(f"Tarfile is available at {tarfile_link}")
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break
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except Exception:
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if attempt == timeout - 1:
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raise TimeoutError(
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f"Failed to download file after {timeout} attempts: {tarfile_link}"
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)
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print(
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f"Tarfile not ready yet, waiting 60 seconds... (attempt {attempt + 1}/{timeout})"
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)
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time.sleep(60)
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llm_root = get_project_dir()
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tmp_dir = llm_root / "tmp"
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tmp_dir.mkdir(parents=True, exist_ok=True)
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subprocess.run(["tar", "-zxf", tarfile_name, "-C",
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str(tmp_dir)],
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check=True)
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tmp_dir = tmp_dir / "TensorRT-LLM"
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build_dir = llm_root / "build"
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build_dir.mkdir(parents=True, exist_ok=True)
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benchmarks_dir = llm_root / "cpp" / "build" / "benchmarks"
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benchmarks_dir.mkdir(parents=True, exist_ok=True)
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wheel_files = glob.glob(str(tmp_dir / "tensorrt_llm*.whl"))
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for wheel_file in wheel_files:
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shutil.move(wheel_file, str(build_dir))
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print(f"Moved wheel file: {wheel_file} -> {build_dir}")
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benchmark_files = [
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"bertBenchmark", "gptManagerBenchmark", "disaggServerBenchmark"
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]
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for benchmark in benchmark_files:
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src_path = tmp_dir / "benchmarks" / "cpp" / benchmark
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if src_path.exists():
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dst_path = benchmarks_dir / benchmark
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shutil.copy2(src_path, dst_path)
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print(f"Copied benchmark file: {src_path} -> {dst_path}")
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else:
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print(f"Warning: Benchmark file not found: {src_path}")
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shutil.rmtree(tmp_dir)
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if os.path.exists(tarfile_name):
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os.remove(tarfile_name)
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if __name__ == "__main__":
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parser = ArgumentParser()
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add_arguments(parser)
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args = parser.parse_args()
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get_wheel_from_package(**vars(args))
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