mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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eb8f26c7e4
* Update TensorRT-LLM --------- Co-authored-by: Eddie-Wang1120 <wangjinheng1120@163.com> Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
88 lines
2.4 KiB
Python
88 lines
2.4 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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def _add_trt_llm_dll_directory():
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import platform
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on_windows = platform.system() == "Windows"
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if on_windows:
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import os
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import sysconfig
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from pathlib import Path
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os.add_dll_directory(
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Path(sysconfig.get_paths()['purelib']) / "tensorrt_llm" / "libs")
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_add_trt_llm_dll_directory()
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import sys
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import tensorrt_llm.functional as functional
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import tensorrt_llm.models as models
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import tensorrt_llm.quantization as quantization
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import tensorrt_llm.runtime as runtime
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import tensorrt_llm.tools as tools
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from ._common import _init, default_net, default_trtnet, precision
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# Disable flake8 on the line below because mpi_barrier is not used in tensorrt_llm project
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# but may be called in dependencies (such as examples)
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from ._utils import mpi_barrier # NOQA
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from ._utils import str_dtype_to_torch # NOQA
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from ._utils import mpi_rank, mpi_world_size, str_dtype_to_trt
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from .builder import Builder, BuilderConfig
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from .functional import Tensor, constant
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from .hlapi.llm import LLM, ModelConfig
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from .logger import logger
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from .mapping import Mapping
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from .module import Module
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from .network import Network, net_guard
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from .parameter import Parameter
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from .version import __version__
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__all__ = [
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'logger',
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'str_dtype_to_trt',
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'str_dtype_to_torch'
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'mpi_barrier',
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'mpi_rank',
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'mpi_world_size',
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'constant',
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'default_net',
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'default_trtnet',
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'precision',
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'net_guard',
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'Network',
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'Mapping',
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'Builder',
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'BuilderConfig',
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'Tensor',
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'Parameter',
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'runtime',
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'Module',
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'functional',
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'models',
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'quantization',
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'tools',
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'LLM',
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'ModelConfig',
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'__version__',
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]
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_init(log_level="error")
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print(f"[TensorRT-LLM] TensorRT-LLM version: {__version__}")
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sys.stdout.flush()
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