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merge cog-trt-llm into this repo (#38)
* Initial commit * add /usr/local/tensorrt/targets/x86_64-linux-gnu/lib/ to LD_LIBRARY_PATH to fix libnvinfer.so.9 import * Add pget install to dockerfile * successfully compiled gpt2 with cog predict -- hello world * Add config and brain dump gpt2 readme * model downloading and uploading, in progress * everything works * output a tar instead of tar.gz * local smoke test * Add .gitignore file and remove test cache files * Add development notes and implementation details * Add instructions for running a dev environment * Refactor tarball creation in TRTLLMBuilder * added huggingface authentication for gated models * Add TensorRT-LLM submodule and update Dockerfile and config * Add instructions for running a dev environment * added hf-enable-hf-transfer * added starcoder config, changed predict.py, added requirements for hf-transfer * readme backticks * added a run to predict.py; fixed model configs * downloader no symlinks, check if model already on disk. fix borked * Clean up README and update model configuration * Remove TensorRT-LLM submodule * Update Dockerfile dependencies and file paths * merge downloader from main * Add get_gpu_info function to utils.py * Update predict.py with TRT-LLM backend and GPU info * merge with main * add async cog * Remove unused imports from config_parser.py * print filenames as they're added to engine.tar * Fix Hugging Face token login issue * log info that predict is logging into HF Hub * update readme * Add support for specifying weight format in downloader.py and predict.py and disable hf_hub progress bar * ignore .tar * add pget download method * refactor config processing and add support for yaml argument. * bug fixes * add ammo and drop dependencies * don't read token from config * 🐛 Fix huggingface login flow * update for 080 * update examples * move examples copy to the end of dockerfile * add tensorrtllm_backend submodule * update readme with local, no build instructions * add new llama config examples * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * Read TRTLLM_DIR from env with fallback * fix dockerfile * rm .cog * fix instructions * clarify * add notes * add notes * fit out dir * Update README.md Co-authored-by: Nathan Raw <[email protected]> * Update README.md * Switch from fetched cog-trt-llm to subdirectory * Move cog-trt-llm ignore to .dockerignore --------- Co-authored-by: Joe Hoover <[email protected]> Co-authored-by: joe <[email protected]> Co-authored-by: Dhruv Singal <[email protected]> Co-authored-by: technillogue <[email protected]> Co-authored-by: sylvie <[email protected]> Co-authored-by: Nathan Raw <[email protected]> Co-authored-by: Hamel Husain <[email protected]>
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**/*.html | ||
**/docs | ||
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# builder source-code | ||
cog-trt-llm/ |
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# The .dockerignore file excludes files from the container build process. | ||
# | ||
# https://docs.docker.com/engine/reference/builder/#dockerignore-file | ||
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# Exclude Git files | ||
.git | ||
.github | ||
.gitignore | ||
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# Exclude Python cache files | ||
__pycache__ | ||
.mypy_cache | ||
.pytest_cache | ||
.ruff_cache | ||
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# Exclude Python virtual environment | ||
/venv | ||
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# Exclude TRT-LLM Examples | ||
# TensorRT-LLM/examples | ||
models/ | ||
tests/ | ||
*.bin | ||
*.safetensors | ||
*.ot | ||
*.h5 | ||
*.msgpack | ||
*.onnx | ||
**/gpt2/ | ||
**/onnx/ | ||
**/engine_outputs/ | ||
*.tar | ||
**/*engine*/ |
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*.bin | ||
*.safetensors | ||
*.cog | ||
*.hypothesis | ||
*.pytest_cache | ||
__pycache__/ | ||
*.pyc | ||
models/* |
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[submodule "tensorrtllm_backend"] | ||
path = tensorrtllm_backend | ||
url = https://github.com/triton-inference-server/tensorrtllm_backend.git |
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#syntax=docker/dockerfile:1.4 | ||
FROM triton_trt_llm as deps | ||
# Set environment variables | ||
ENV DEBIAN_FRONTEND=noninteractive | ||
ENV PYTHONUNBUFFERED=1 | ||
ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/x86_64-linux-gnu:/usr/local/nvidia/lib64:/usr/local/nvidia/bin:/usr/local/tensorrt/targets/x86_64-linux-gnu/lib/ | ||
ENV NVIDIA_DRIVER_CAPABILITIES=all | ||
ENV PATH="/usr/bin:$PATH" | ||
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# # Install necessary packages | ||
# RUN --mount=type=cache,target=/var/cache/apt set -eux; \ | ||
# apt-get update -qq; \ | ||
# apt-get install -qqy --no-install-recommends curl make build-essential libssl-dev zlib1g-dev \ | ||
# libbz2-dev libreadline-dev libsqlite3-dev wget llvm libncurses5-dev libncursesw5-dev \ | ||
# xz-utils tk-dev libffi-dev liblzma-dev git ca-certificates; \ | ||
# rm -rf /var/lib/apt/lists/* | ||
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# Install Tini | ||
RUN TINI_VERSION=v0.19.0; \ | ||
TINI_ARCH="$(dpkg --print-architecture)"; \ | ||
curl -sSL -o /sbin/tini "https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini-${TINI_ARCH}"; \ | ||
chmod +x /sbin/tini | ||
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# # Copy and install the Python wheel | ||
# COPY .cog/tmp/build1194876799/cog-0.0.1.dev-py3-none-any.whl /tmp/cog-0.0.1.dev-py3-none-any.whl | ||
# RUN pip install /tmp/cog-0.0.1.dev-py3-none-any.whl | ||
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# pip install requirements | ||
RUN apt install python3.10-venv -y | ||
COPY requirements.txt /tmp/requirements.txt | ||
RUN pip install -r /tmp/requirements.txt cog==0.10.0a5 | ||
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RUN curl -o /usr/local/bin/pget -L "https://github.com/replicate/pget/releases/download/v0.5.6/pget_linux_x86_64" && chmod +x /usr/local/bin/pget | ||
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# Set the working directory | ||
WORKDIR /src | ||
# this directory is needed for the build | ||
RUN mkdir -p .cog/ | ||
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# Expose the necessary port | ||
EXPOSE 5000 | ||
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# Set the environment variables for TRT-LLM | ||
# ENV CCACHE_DIR=/src/TensorRT-LLM/cpp/.ccache | ||
# ENV CCACHE_BASEDIR=/src/TensorRT-LLM | ||
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RUN pip install https://r2.drysys.workers.dev/tmp/cog-0.10.0a4.dev74+g8bbe583.d20240209-py3-none-any.whl | ||
RUN pip install ammo | ||
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# Define entrypoint and command | ||
ENTRYPOINT ["/sbin/tini", "--"] | ||
CMD ["python", "-m", "cog.server.http"] | ||
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COPY tensorrtllm_backend /src/tensorrtllm_backend | ||
RUN pip install --no-cache-dir --extra-index-url https://pypi.nvidia.com nvidia-ammo~=0.7.0 | ||
RUN pip install --no-cache-dir cython | ||
RUN cd /src/tensorrtllm_backend/tensorrt_llm/examples/quantization/ && pip install -r requirements.txt | ||
COPY *.py *.yaml /src/ | ||
RUN ln -sf $(which echo) $(which pip) | ||
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# Copy the examples | ||
COPY examples /src/examples |
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