mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-02-15 15:33:49 +08:00
102 lines
4.3 KiB
Markdown
102 lines
4.3 KiB
Markdown
# BLOOM
|
|
|
|
This document shows how to build and run a BLOOM model in TensorRT-LLM on both single GPU, single node multi-GPU and multi-node multi-GPU.
|
|
|
|
## Overview
|
|
|
|
The TensorRT-LLM BLOOM implementation can be found in [tensorrt_llm/models/bloom/model.py](../../tensorrt_llm/models/bloom/model.py). The TensorRT-LLM BLOOM example code is located in [`examples/bloom`](./). There are three main files in that folder::
|
|
|
|
* [`build.py`](./build.py) to build the [TensorRT](https://developer.nvidia.com/tensorrt) engine(s) needed to run the BLOOM model,
|
|
* [`run.py`](./run.py) to run the inference on an input text,
|
|
* [`summarize.py`](./summarize.py) to summarize the articles in the [cnn_dailymail](https://huggingface.co/datasets/cnn_dailymail) dataset using the model.
|
|
|
|
## Usage
|
|
|
|
The TensorRT-LLM BLOOM example code locates at [examples/bloom](./). It takes HF weights as input, and builds the corresponding TensorRT engines. The number of TensorRT engines depends on the number of GPUs used to run inference.
|
|
|
|
### Build TensorRT engine(s)
|
|
|
|
Need to prepare the HF BLOOM checkpoint first by following the guides here https://huggingface.co/docs/transformers/main/en/model_doc/bloom.
|
|
|
|
e.g. To install BLOOM-560M
|
|
|
|
```bash
|
|
# Setup git-lfs
|
|
git lfs install
|
|
rm -rf ./bloom/560M
|
|
mkdir -p ./bloom/560M && git clone https://huggingface.co/bigscience/bloom-560m ./bloom/560M
|
|
```
|
|
|
|
TensorRT-LLM BLOOM builds TensorRT engine(s) from HF checkpoint. If no checkpoint directory is specified, TensorRT-LLM will build engine(s) with dummy weights.
|
|
|
|
Normally `build.py` only requires single GPU, but if you've already got all the GPUs needed for inference, you could enable parallel building to make the engine building process faster by adding `--parallel_build` argument. Please note that currently `parallel_build` feature only supports single node.
|
|
|
|
Here're some examples:
|
|
|
|
```bash
|
|
# Build a single-GPU float16 engine from HF weights.
|
|
# Try use_gemm_plugin to prevent accuracy issue. TODO check this holds for BLOOM
|
|
|
|
# Single GPU on BLOOM 560M
|
|
python build.py --model_dir ./bloom/560M/ \
|
|
--dtype float16 \
|
|
--use_gemm_plugin float16 \
|
|
--use_gpt_attention_plugin float16 \
|
|
--output_dir ./bloom/560M/trt_engines/fp16/1-gpu/
|
|
|
|
# Use 2-way tensor parallelism on BLOOM 560M
|
|
python build.py --model_dir ./bloom/560M/ \
|
|
--dtype float16 \
|
|
--use_gemm_plugin float16 \
|
|
--use_gpt_attention_plugin float16 \
|
|
--output_dir ./bloom/560M/trt_engines/fp16/2-gpu/ \
|
|
--world_size 2
|
|
|
|
# Use 8-way tensor parallelism on BLOOM 176B
|
|
# Currently, TensorRT does not support tensors with more than 2^31-1 elements,
|
|
# so we have to shard the embedding table to multi-GPUs.
|
|
|
|
# sharding embedding table in the vocab dimension
|
|
python build.py --model_dir ./bloom/176B/ \
|
|
--dtype float16 \
|
|
--use_gemm_plugin float16 \
|
|
--use_gpt_attention_plugin float16 \
|
|
--output_dir ./bloom/176B/trt_engines/fp16/8-gpu/ \
|
|
--world_size 8 \
|
|
--use_parallel_embedding \
|
|
--embedding_sharding_dim 0 \
|
|
--use_lookup_plugin
|
|
|
|
# sharding embedding table in the hidden dimension
|
|
python build.py --model_dir ./bloom/176B/ \
|
|
--dtype float16 \
|
|
--use_gemm_plugin float16 \
|
|
--use_gpt_attention_plugin float16 \
|
|
--output_dir ./bloom/176B/trt_engines/fp16/8-gpu/ \
|
|
--world_size 8 \
|
|
--use_parallel_embedding \
|
|
--embedding_sharding_dim 1 \
|
|
--use_lookup_plugin
|
|
```
|
|
|
|
### 4. Run
|
|
|
|
```bash
|
|
python summarize.py --test_trt_llm \
|
|
--hf_model_location ./bloom/560M/ \
|
|
--data_type fp16 \
|
|
--engine_dir ./bloom/560M/trt_engines/fp16/1-gpu/
|
|
|
|
mpirun -n 2 --allow-run-as-root \
|
|
python summarize.py --test_trt_llm \
|
|
--hf_model_location ./bloom/560M/ \
|
|
--data_type fp16 \
|
|
--engine_dir ./bloom/560M/trt_engines/fp16/2-gpu/
|
|
|
|
mpirun -n 8 --allow-run-as-root \
|
|
python summarize.py --test_trt_llm \
|
|
--hf_model_location ./bloom/176B/ \
|
|
--data_type fp16 \
|
|
--engine_dir ./bloom/176B/trt_engines/fp16/8-gpu/
|
|
```
|