mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-30 07:33:48 +08:00
16535991b2
* add MNNVL memory mapping support Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com> * add more MPI environment for trtllm-llmapi-launch Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com> * add MoE communication and prepare kernels Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com> * add MNNVL AlltoAll support for DeepSeekV3 Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com> * add output dump for throughput benchmark Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com> * support dynamic kernel launch grid Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com> * address review comments Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com> * address review comments #2 Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com> --------- Signed-off-by: Dongxu Yang <78518666+dongxuy04@users.noreply.github.com>
112 lines
3.1 KiB
Python
112 lines
3.1 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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from ._mnnvl_utils import MnnvlMemory, MnnvlMoe, MoEAlltoallInfo
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from ._utils import (default_gpus_per_node, local_mpi_rank, local_mpi_size,
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mpi_barrier, mpi_comm, mpi_rank, mpi_world_size,
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set_mpi_comm, str_dtype_to_torch, str_dtype_to_trt,
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torch_dtype_to_trt)
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from .auto_parallel import AutoParallelConfig, auto_parallel
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from .builder import BuildConfig, Builder, BuilderConfig, build
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from .disaggregated_params import DisaggregatedParams
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from .functional import Tensor, constant
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from .llmapi.llm import LLM, LlmArgs
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from .logger import logger
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from .mapping import Mapping
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from .models.automodel import AutoConfig, AutoModelForCausalLM
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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 .python_plugin import PluginBase
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from .sampling_params import SamplingParams
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from .version import __version__
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__all__ = [
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'AutoConfig',
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'AutoModelForCausalLM',
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'logger',
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'str_dtype_to_trt',
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'torch_dtype_to_trt',
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'str_dtype_to_torch',
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'default_gpus_per_node',
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'local_mpi_rank',
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'local_mpi_size',
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'mpi_barrier',
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'mpi_comm',
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'mpi_rank',
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'set_mpi_comm',
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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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'MnnvlMemory',
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'MnnvlMoe',
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'MoEAlltoallInfo',
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'PluginBase',
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'Builder',
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'BuilderConfig',
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'build',
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'BuildConfig',
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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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'auto_parallel',
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'AutoParallelConfig',
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'quantization',
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'tools',
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'LLM',
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'LlmArgs',
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'SamplingParams',
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'DisaggregatedParams',
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'KvCacheConfig',
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'__version__',
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]
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_init()
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print(f"[TensorRT-LLM] TensorRT-LLM version: {__version__}")
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sys.stdout.flush()
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