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feat(conda): conda environments (#1144)

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* feat(autogptq): add a separate conda environment for autogptq (#1137)

**Description**

This PR related to #1117

**Notes for Reviewers**

Here we lock down the version of the dependencies. Make sure it can be
used all the time without failed if the version of dependencies were
upgraded.

I change the order of importing packages according to the pylint, and no
change the logic of code. It should be ok.

I will do more investigate on writing some test cases for every backend.
I can run the service in my environment, but there is not exist a way to
test it. So, I am not confident on it.

Add a README.md in the `grpc` root. This is the common commands for
creating `conda` environment. And it can be used to the reference file
for creating extral gRPC backend document.

Signed-off-by: GitHub <noreply@github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* [Extra backend] Add seperate environment for ttsbark (#1141)

**Description**

This PR relates to #1117

**Notes for Reviewers**

Same to the latest PR:
* The code is also changed, but only the order of the import package
parts. And some code comments are also added.
* Add a configuration of the `conda` environment
* Add a simple test case for testing if the service can be startup in
current `conda` environment. It is succeed in VSCode, but the it is not
out of box on terminal. So, it is hard to say the test case really
useful.

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commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)**
- [x] Yes, I signed my commits.

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Signed-off-by: GitHub <noreply@github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda): add make target and entrypoints for the dockerfile

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda): Add seperate conda env for diffusers (#1145)

**Description**

This PR relates to  #1117

**Notes for Reviewers**

* Add `conda` env `diffusers.yml`
* Add Makefile to create it automatically
* Add `run.sh` to support running as a extra backend
  * Also adding it to the main Dockerfile
* Add make command in the root Makefile
* Testing the server, it can start up under the env

Signed-off-by: GitHub <noreply@github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda):Add seperate env for vllm (#1148)

**Description**

This PR is related to #1117

**Notes for Reviewers**

* The gRPC server can be started as normal
* The test case can be triggered in VSCode
* Same to other this kind of PRs, add `vllm.yml` Makefile and add
`run.sh` to the main Dockerfile, and command to the main Makefile

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda):Add seperate env for huggingface (#1146)

**Description**

This PR is related to  #1117

**Notes for Reviewers**

* Add conda env `huggingface.yml`
* Change the import order, and also remove the no-used packages
* Add `run.sh` and `make command` to the main Dockerfile and Makefile
* Add test cases for it. It can be triggered and succeed under VSCode
Python extension but it is hang by using `python -m unites
test_huggingface.py` in the terminal

```
Running tests (unittest): /workspaces/LocalAI/extra/grpc/huggingface
Running tests: /workspaces/LocalAI/extra/grpc/huggingface/test_huggingface.py::TestBackendServicer::test_embedding
/workspaces/LocalAI/extra/grpc/huggingface/test_huggingface.py::TestBackendServicer::test_load_model
/workspaces/LocalAI/extra/grpc/huggingface/test_huggingface.py::TestBackendServicer::test_server_startup
./test_huggingface.py::TestBackendServicer::test_embedding Passed

./test_huggingface.py::TestBackendServicer::test_load_model Passed

./test_huggingface.py::TestBackendServicer::test_server_startup Passed

Total number of tests expected to run: 3
Total number of tests run: 3
Total number of tests passed: 3
Total number of tests failed: 0
Total number of tests failed with errors: 0
Total number of tests skipped: 0

Finished running tests!
```

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda): Add the seperate conda env for VALL-E X (#1147)

**Description**

This PR is related  to #1117

**Notes for Reviewers**

* The gRPC server cannot start up

```
(ttsvalle) @Aisuko ➜ /workspaces/LocalAI (feat/vall-e-x) $ /opt/conda/envs/ttsvalle/bin/python /workspaces/LocalAI/extra/grpc/vall-e-x/ttsvalle.py
Traceback (most recent call last):
  File "/workspaces/LocalAI/extra/grpc/vall-e-x/ttsvalle.py", line 14, in <module>
    from utils.generation import SAMPLE_RATE, generate_audio, preload_models
ModuleNotFoundError: No module named 'utils'
```

The installation steps follow
https://github.com/Plachtaa/VALL-E-X#-installation below:

* Under the `ttsvalle` conda env

```
git clone https://github.com/Plachtaa/VALL-E-X.git
cd VALL-E-X
pip install -r requirements.txt
```

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4. **Tag maintainer:** for a quicker response, tag the relevant
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5. **X/Twitter handle:** we announce bigger features on X/Twitter. If
your PR gets announced, and you'd like a mention, we'll gladly shout you
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Signed-off-by: GitHub <noreply@github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix: set image type

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(conda):Add seperate conda env for exllama (#1149)

Add seperate env for exllama

Signed-off-by: Aisuko <urakiny@gmail.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Setup conda

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Set image_type arg

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* ci: prepare only conda env in tests

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Dockerfile: comment manual pip calls

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* conda: add conda to PATH

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fixes

* add shebang

* Fixups

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* file perms

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* debug

* Install new conda in the worker

* Disable GPU tests for now until the worker is back

* Rename workflows

* debug

* Fixup conda install

* fixup(wrapper): pass args

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: GitHub <noreply@github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Signed-off-by: Aisuko <urakiny@gmail.com>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: Aisuko <urakiny@gmail.com>
This commit is contained in:
Ettore Di Giacinto 2023-11-04 15:30:32 +01:00 committed by GitHub
parent 9b17af18b3
commit f347e51927
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GPG Key ID: 4AEE18F83AFDEB23
44 changed files with 1288 additions and 163 deletions
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0
.github/workflows/test-gpu.yml → .github/workflows/disabled/test-gpu.yml vendored
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136
.github/workflows/image.yml vendored
View File

@ -14,7 +14,7 @@ concurrency:
cancel-in-progress: true
jobs:
docker:
image-build:
strategy:
matrix:
include:
@ -29,98 +29,6 @@ jobs:
tag-latest: 'false'
tag-suffix: '-ffmpeg'
ffmpeg: 'true'
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Release space from worker
run: |
echo "Listing top largest packages"
pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
head -n 30 <<< "${pkgs}"
echo
df -h
echo
sudo apt-get remove -y '^llvm-.*|^libllvm.*' || true
sudo apt-get remove --auto-remove android-sdk-platform-tools || true
sudo apt-get purge --auto-remove android-sdk-platform-tools || true
sudo rm -rf /usr/local/lib/android
sudo apt-get remove -y '^dotnet-.*|^aspnetcore-.*' || true
sudo rm -rf /usr/share/dotnet
sudo apt-get remove -y '^mono-.*' || true
sudo apt-get remove -y '^ghc-.*' || true
sudo apt-get remove -y '.*jdk.*|.*jre.*' || true
sudo apt-get remove -y 'php.*' || true
sudo apt-get remove -y hhvm powershell firefox monodoc-manual msbuild || true
sudo apt-get remove -y '^google-.*' || true
sudo apt-get remove -y azure-cli || true
sudo apt-get remove -y '^mongo.*-.*|^postgresql-.*|^mysql-.*|^mssql-.*' || true
sudo apt-get remove -y '^gfortran-.*' || true
sudo apt-get remove -y microsoft-edge-stable || true
sudo apt-get remove -y firefox || true
sudo apt-get remove -y powershell || true
sudo apt-get remove -y r-base-core || true
sudo apt-get autoremove -y
sudo apt-get clean
echo
echo "Listing top largest packages"
pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
head -n 30 <<< "${pkgs}"
echo
sudo rm -rfv build || true
df -h
- name: Docker meta
id: meta
uses: docker/metadata-action@v5
with:
images: quay.io/go-skynet/local-ai
tags: |
type=ref,event=branch
type=semver,pattern={{raw}}
type=sha
flavor: |
latest=${{ matrix.tag-latest }}
suffix=${{ matrix.tag-suffix }}
- name: Set up QEMU
uses: docker/setup-qemu-action@master
with:
platforms: all
- name: Set up Docker Buildx
id: buildx
uses: docker/setup-buildx-action@master
- name: Login to DockerHub
if: github.event_name != 'pull_request'
uses: docker/login-action@v3
with:
registry: quay.io
username: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
password: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
- name: Build and push
uses: docker/build-push-action@v5
with:
builder: ${{ steps.buildx.outputs.name }}
build-args: |
BUILD_TYPE=${{ matrix.build-type }}
CUDA_MAJOR_VERSION=${{ matrix.cuda-major-version }}
CUDA_MINOR_VERSION=${{ matrix.cuda-minor-version }}
FFMPEG=${{ matrix.ffmpeg }}
context: .
file: ./Dockerfile
platforms: ${{ matrix.platforms }}
push: ${{ github.event_name != 'pull_request' }}
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
docker-gpu:
strategy:
matrix:
include:
- build-type: 'cublas'
cuda-major-version: 11
cuda-minor-version: 7
@ -162,7 +70,42 @@ jobs:
&& sudo apt-get install -y git
- name: Checkout
uses: actions/checkout@v4
# - name: Release space from worker
# run: |
# echo "Listing top largest packages"
# pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
# head -n 30 <<< "${pkgs}"
# echo
# df -h
# echo
# sudo apt-get remove -y '^llvm-.*|^libllvm.*' || true
# sudo apt-get remove --auto-remove android-sdk-platform-tools || true
# sudo apt-get purge --auto-remove android-sdk-platform-tools || true
# sudo rm -rf /usr/local/lib/android
# sudo apt-get remove -y '^dotnet-.*|^aspnetcore-.*' || true
# sudo rm -rf /usr/share/dotnet
# sudo apt-get remove -y '^mono-.*' || true
# sudo apt-get remove -y '^ghc-.*' || true
# sudo apt-get remove -y '.*jdk.*|.*jre.*' || true
# sudo apt-get remove -y 'php.*' || true
# sudo apt-get remove -y hhvm powershell firefox monodoc-manual msbuild || true
# sudo apt-get remove -y '^google-.*' || true
# sudo apt-get remove -y azure-cli || true
# sudo apt-get remove -y '^mongo.*-.*|^postgresql-.*|^mysql-.*|^mssql-.*' || true
# sudo apt-get remove -y '^gfortran-.*' || true
# sudo apt-get remove -y microsoft-edge-stable || true
# sudo apt-get remove -y firefox || true
# sudo apt-get remove -y powershell || true
# sudo apt-get remove -y r-base-core || true
# sudo apt-get autoremove -y
# sudo apt-get clean
# echo
# echo "Listing top largest packages"
# pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
# head -n 30 <<< "${pkgs}"
# echo
# sudo rm -rfv build || true
# df -h
- name: Docker meta
id: meta
uses: docker/metadata-action@v5
@ -192,6 +135,7 @@ jobs:
registry: quay.io
username: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
password: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
- name: Build and push
uses: docker/build-push-action@v5
with:
@ -207,7 +151,3 @@ jobs:
push: ${{ github.event_name != 'pull_request' }}
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
- name: Release space from worker ♻
if: always()
run: |
docker system prune -f -a --volumes || true

18
.github/workflows/test.yml vendored
View File

@ -14,7 +14,7 @@ concurrency:
cancel-in-progress: true
jobs:
ubuntu-latest:
tests-linux:
runs-on: ubuntu-latest
strategy:
matrix:
@ -67,11 +67,18 @@ jobs:
run: |
sudo apt-get update
sudo apt-get install build-essential ffmpeg
curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
sudo install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list' && \
sudo /bin/bash -c 'echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list' && \
sudo apt-get update && \
sudo apt-get install -y conda
sudo apt-get install -y ca-certificates cmake curl patch
sudo apt-get install -y libopencv-dev && sudo ln -s /usr/include/opencv4/opencv2 /usr/include/opencv2
sudo pip install -r extra/requirements.txt
sudo rm -rfv /usr/bin/conda || true
PATH=$PATH:/opt/conda/bin make -C extra/grpc/huggingface
# Pre-build stable diffusion before we install a newever version of abseil (not compatible with stablediffusion-ncn)
GO_TAGS="tts stablediffusion" GRPC_BACKENDS=backend-assets/grpc/stablediffusion make build
@ -96,12 +103,11 @@ jobs:
cd grpc && mkdir -p cmake/build && cd cmake/build && cmake -DgRPC_INSTALL=ON \
-DgRPC_BUILD_TESTS=OFF \
../.. && sudo make -j12 install
- name: Test
run: |
ESPEAK_DATA="/build/lib/Linux-$(uname -m)/piper_phonemize/lib/espeak-ng-data" GO_TAGS="tts stablediffusion" make test
macOS-latest:
tests-apple:
runs-on: macOS-latest
strategy:
matrix:

29
Dockerfile
View File

@ -14,7 +14,7 @@ ARG TARGETARCH
ARG TARGETVARIANT
ENV BUILD_TYPE=${BUILD_TYPE}
ENV EXTERNAL_GRPC_BACKENDS="huggingface-embeddings:/build/extra/grpc/huggingface/huggingface.py,autogptq:/build/extra/grpc/autogptq/autogptq.py,bark:/build/extra/grpc/bark/ttsbark.py,diffusers:/build/extra/grpc/diffusers/backend_diffusers.py,exllama:/build/extra/grpc/exllama/exllama.py,vall-e-x:/build/extra/grpc/vall-e-x/ttsvalle.py,vllm:/build/extra/grpc/vllm/backend_vllm.py"
ENV EXTERNAL_GRPC_BACKENDS="huggingface-embeddings:/build/extra/grpc/huggingface/run.sh,autogptq:/build/extra/grpc/autogptq/run.sh,bark:/build/extra/grpc/bark/run.sh,diffusers:/build/extra/grpc/diffusers/run.sh,exllama:/build/extra/grpc/exllama/run.sh,vall-e-x:/build/extra/grpc/vall-e-x/run.sh,vllm:/build/extra/grpc/vllm/run.sh"
ENV GALLERIES='[{"name":"model-gallery", "url":"github:go-skynet/model-gallery/index.yaml"}, {"url": "github:go-skynet/model-gallery/huggingface.yaml","name":"huggingface"}]'
ARG GO_TAGS="stablediffusion tts"
@ -77,17 +77,25 @@ RUN curl -L "https://github.com/gabime/spdlog/archive/refs/tags/v${SPDLOG_VERSIO
# Extras requirements
FROM requirements-core as requirements-extras
RUN curl https://repo.anaconda.com/pkgs/misc/gpgkeys/anaconda.asc | gpg --dearmor > conda.gpg && \
install -o root -g root -m 644 conda.gpg /usr/share/keyrings/conda-archive-keyring.gpg && \
gpg --keyring /usr/share/keyrings/conda-archive-keyring.gpg --no-default-keyring --fingerprint 34161F5BF5EB1D4BFBBB8F0A8AEB4F8B29D82806 && \
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" > /etc/apt/sources.list.d/conda.list && \
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/conda-archive-keyring.gpg] https://repo.anaconda.com/pkgs/misc/debrepo/conda stable main" | tee -a /etc/apt/sources.list.d/conda.list && \
apt-get update && \
apt-get install -y conda
COPY extra/requirements.txt /build/extra/requirements.txt
ENV PATH="/root/.cargo/bin:${PATH}"
RUN pip install --upgrade pip
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
RUN if [ "${TARGETARCH}" = "amd64" ]; then \
pip install git+https://github.com/suno-ai/bark.git diffusers invisible_watermark transformers accelerate safetensors;\
fi
RUN if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "amd64" ]; then \
pip install torch vllm && pip install auto-gptq https://github.com/jllllll/exllama/releases/download/0.0.10/exllama-0.0.10+cu${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}-cp39-cp39-linux_x86_64.whl;\
fi
RUN pip install -r /build/extra/requirements.txt && rm -rf /build/extra/requirements.txt
#RUN if [ "${TARGETARCH}" = "amd64" ]; then \
# pip install git+https://github.com/suno-ai/bark.git diffusers invisible_watermark transformers accelerate safetensors;\
# fi
#RUN if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "amd64" ]; then \
# pip install torch vllm && pip install auto-gptq https://github.com/jllllll/exllama/releases/download/0.0.10/exllama-0.0.10+cu${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}-cp39-cp39-linux_x86_64.whl;\
# fi
#RUN pip install -r /build/extra/requirements.txt && rm -rf /build/extra/requirements.txt
# Vall-e-X
RUN git clone https://github.com/Plachtaa/VALL-E-X.git /usr/lib/vall-e-x && cd /usr/lib/vall-e-x && pip install -r requirements.txt
@ -139,6 +147,7 @@ FROM requirements-${IMAGE_TYPE}
ARG FFMPEG
ARG BUILD_TYPE
ARG TARGETARCH
ARG IMAGE_TYPE=extras
ENV BUILD_TYPE=${BUILD_TYPE}
ENV REBUILD=false
@ -169,6 +178,10 @@ COPY --from=builder /build/local-ai ./
# do not let stablediffusion rebuild (requires an older version of absl)
COPY --from=builder /build/backend-assets/grpc/stablediffusion ./backend-assets/grpc/stablediffusion
RUN if [ "${IMAGE_TYPE}" = "extras" ]; then \
PATH=$PATH:/opt/conda/bin make prepare-extra-conda-environments \
; fi
# Copy VALLE-X as it's not a real "lib"
RUN if [ -d /usr/lib/vall-e-x ]; then \
cp -rfv /usr/lib/vall-e-x/* ./ ; \

26
Makefile
View File

@ -290,12 +290,12 @@ run: prepare ## run local-ai
test-models/testmodel:
mkdir test-models
mkdir test-dir
wget https://huggingface.co/nnakasato/ggml-model-test/resolve/main/ggml-model-q4.bin -O test-models/testmodel
wget https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
wget https://huggingface.co/mudler/all-MiniLM-L6-v2/resolve/main/ggml-model-q4_0.bin -O test-models/bert
wget https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
wget https://huggingface.co/mudler/rwkv-4-raven-1.5B-ggml/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%2525-Other1%2525-20230425-ctx4096_Q4_0.bin -O test-models/rwkv
wget https://raw.githubusercontent.com/saharNooby/rwkv.cpp/5eb8f09c146ea8124633ab041d9ea0b1f1db4459/rwkv/20B_tokenizer.json -O test-models/rwkv.tokenizer.json
wget -q https://huggingface.co/nnakasato/ggml-model-test/resolve/main/ggml-model-q4.bin -O test-models/testmodel
wget -q https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
wget -q https://huggingface.co/mudler/all-MiniLM-L6-v2/resolve/main/ggml-model-q4_0.bin -O test-models/bert
wget -q https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
wget -q https://huggingface.co/mudler/rwkv-4-raven-1.5B-ggml/resolve/main/RWKV-4-Raven-1B5-v11-Eng99%2525-Other1%2525-20230425-ctx4096_Q4_0.bin -O test-models/rwkv
wget -q https://raw.githubusercontent.com/saharNooby/rwkv.cpp/5eb8f09c146ea8124633ab041d9ea0b1f1db4459/rwkv/20B_tokenizer.json -O test-models/rwkv.tokenizer.json
cp tests/models_fixtures/* test-models
prepare-test: grpcs
@ -306,8 +306,8 @@ test: prepare test-models/testmodel grpcs
@echo 'Running tests'
export GO_TAGS="tts stablediffusion"
$(MAKE) prepare-test
HUGGINGFACE_GRPC=$(abspath ./)/extra/grpc/huggingface/huggingface.py TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!gpt4all && !llama && !llama-gguf" --flake-attempts 5 -v -r ./api ./pkg
HUGGINGFACE_GRPC=$(abspath ./)/extra/grpc/huggingface/run.sh TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models \
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!gpt4all && !llama && !llama-gguf" --fail-fast -v -r ./api ./pkg
$(MAKE) test-gpt4all
$(MAKE) test-llama
$(MAKE) test-llama-gguf
@ -387,6 +387,16 @@ protogen-python:
## GRPC
prepare-extra-conda-environments:
$(MAKE) -C extra/grpc/autogptq
$(MAKE) -C extra/grpc/bark
$(MAKE) -C extra/grpc/diffusers
$(MAKE) -C extra/grpc/vllm
$(MAKE) -C extra/grpc/huggingface
$(MAKE) -C extra/grpc/vall-e-x
$(MAKE) -C extra/grpc/exllama
backend-assets/grpc:
mkdir -p backend-assets/grpc

38
extra/grpc/README.md Normal file
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@ -0,0 +1,38 @@
# Common commands about conda environment
## Create a new empty conda environment
```
conda create --name <env-name> python=<your version> -y
conda create --name autogptq python=3.11 -y
```
## To activate the environment
As of conda 4.4
```
conda activate autogptq
```
The conda version older than 4.4
```
source activate autogptq
```
## Install the packages to your environment
Sometimes you need to install the packages from the conda-forge channel
By using `conda`
```
conda install <your-package-name>
conda install -c conda-forge <your package-name>
```
Or by using `pip`
```
pip install <your-package-name>
```

5
extra/grpc/autogptq/Makefile Normal file
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@ -0,0 +1,5 @@
.PONY: autogptq
autogptq:
@echo "Creating virtual environment..."
@conda env create --name autogptq --file autogptq.yml
@echo "Virtual environment created."

5
extra/grpc/autogptq/README.md Normal file
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@ -0,0 +1,5 @@
# Creating a separate environment for the autogptq project
```
make autogptq
```

12
extra/grpc/autogptq/autogptq.py
View File

@ -1,15 +1,15 @@
#!/usr/bin/env python3
import grpc
from concurrent import futures
import time
import backend_pb2
import backend_pb2_grpc
import argparse
import signal
import sys
import os
from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
from pathlib import Path
import time
import grpc
import backend_pb2
import backend_pb2_grpc
from auto_gptq import AutoGPTQForCausalLM
from transformers import AutoTokenizer
from transformers import TextGenerationPipeline

86
extra/grpc/autogptq/autogptq.yml Normal file
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@ -0,0 +1,86 @@
name: autogptq
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
- openssl=3.0.11=h7f8727e_2
- pip=23.2.1=py311h06a4308_0
- python=3.11.5=h955ad1f_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py311h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- wheel=0.41.2=py311h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- accelerate==0.23.0
- aiohttp==3.8.5
- aiosignal==1.3.1
- async-timeout==4.0.3
- attrs==23.1.0
- auto-gptq==0.4.2
- certifi==2023.7.22
- charset-normalizer==3.3.0
- datasets==2.14.5
- dill==0.3.7
- filelock==3.12.4
- frozenlist==1.4.0
- fsspec==2023.6.0
- grpcio==1.59.0
- huggingface-hub==0.16.4
- idna==3.4
- jinja2==3.1.2
- markupsafe==2.1.3
- mpmath==1.3.0
- multidict==6.0.4
- multiprocess==0.70.15
- networkx==3.1
- numpy==1.26.0
- nvidia-cublas-cu12==12.1.3.1
- nvidia-cuda-cupti-cu12==12.1.105
- nvidia-cuda-nvrtc-cu12==12.1.105
- nvidia-cuda-runtime-cu12==12.1.105
- nvidia-cudnn-cu12==8.9.2.26
- nvidia-cufft-cu12==11.0.2.54
- nvidia-curand-cu12==10.3.2.106
- nvidia-cusolver-cu12==11.4.5.107
- nvidia-cusparse-cu12==12.1.0.106
- nvidia-nccl-cu12==2.18.1
- nvidia-nvjitlink-cu12==12.2.140
- nvidia-nvtx-cu12==12.1.105
- packaging==23.2
- pandas==2.1.1
- peft==0.5.0
- protobuf==4.24.4
- psutil==5.9.5
- pyarrow==13.0.0
- python-dateutil==2.8.2
- pytz==2023.3.post1
- pyyaml==6.0.1
- regex==2023.10.3
- requests==2.31.0
- rouge==1.0.1
- safetensors==0.3.3
- six==1.16.0
- sympy==1.12
- tokenizers==0.14.0
- torch==2.1.0
- tqdm==4.66.1
- transformers==4.34.0
- triton==2.1.0
- typing-extensions==4.8.0
- tzdata==2023.3
- urllib3==2.0.6
- xxhash==3.4.1
- yarl==1.9.2

14
extra/grpc/autogptq/run.sh Executable file
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@ -0,0 +1,14 @@
#!/bin/bash
##
## A bash script wrapper that runs the autogptq server with conda
export PATH=$PATH:/opt/conda/bin
# Activate conda environment
source activate autogptq
# get the directory where the bash script is located
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
python $DIR/autogptq.py $@

5
extra/grpc/bark/Makefile Normal file
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@ -0,0 +1,5 @@
.PONY: ttsbark
ttsbark:
@echo "Creating virtual environment..."
@conda env create --name ttsbark --file ttsbark.yml
@echo "Virtual environment created."

16
extra/grpc/bark/README.md Normal file
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@ -0,0 +1,16 @@
# Creating a separate environment for ttsbark project
```
make ttsbark
```
# Testing the gRPC server
```
<The path of your python interpreter> -m unittest test_ttsbark.py
```
For example
```
/opt/conda/envs/bark/bin/python -m unittest extra/grpc/bark/test_ttsbark.py
``````

14
extra/grpc/bark/run.sh Executable file
View File

@ -0,0 +1,14 @@
#!/bin/bash
##
## A bash script wrapper that runs the ttsbark server with conda
export PATH=$PATH:/opt/conda/bin
# Activate conda environment
source activate ttsbark
# get the directory where the bash script is located
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
python $DIR/ttsbark.py $@

32
extra/grpc/bark/test_ttsbark.py Normal file
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@ -0,0 +1,32 @@
import unittest
import subprocess
import time
import backend_pb2
import backend_pb2_grpc
import grpc
class TestBackendServicer(unittest.TestCase):
"""
TestBackendServicer is the class that tests the gRPC service
"""
def setUp(self):
self.service = subprocess.Popen(["python3", "ttsbark.py", "--addr", "localhost:50051"])
def tearDown(self) -> None:
self.service.terminate()
self.service.wait()
def test_server_startup(self):
time.sleep(2)
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.Health(backend_pb2.HealthMessage())
self.assertEqual(response.message, b'OK')
except Exception as err:
print(err)
self.fail("Server failed to start")
finally:
self.tearDown()

22
extra/grpc/bark/ttsbark.py
View File

@ -1,18 +1,23 @@
"""
This is the extra gRPC server of LocalAI
"""
#!/usr/bin/env python3
import grpc
from concurrent import futures
import time
import backend_pb2
import backend_pb2_grpc
import argparse
import signal
import sys
import os
from auto_gptq import AutoGPTQForCausalLM, BaseQuantizeConfig
from pathlib import Path
from bark import SAMPLE_RATE, generate_audio, preload_models
from scipy.io.wavfile import write as write_wav
import backend_pb2
import backend_pb2_grpc
from bark import SAMPLE_RATE, generate_audio, preload_models
import grpc
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
# If MAX_WORKERS are specified in the environment use it, otherwise default to 1
@ -20,6 +25,9 @@ MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
# Implement the BackendServicer class with the service methods
class BackendServicer(backend_pb2_grpc.BackendServicer):
"""
BackendServicer is the class that implements the gRPC service
"""
def Health(self, request, context):
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
def LoadModel(self, request, context):
@ -83,4 +91,4 @@ if __name__ == "__main__":
)
args = parser.parse_args()
serve(args.addr)
serve(args.addr)

96
extra/grpc/bark/ttsbark.yml Normal file
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@ -0,0 +1,96 @@
name: bark
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
- openssl=3.0.11=h7f8727e_2
- pip=23.2.1=py311h06a4308_0
- python=3.11.5=h955ad1f_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py311h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- wheel=0.41.2=py311h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- accelerate==0.23.0
- aiohttp==3.8.5
- aiosignal==1.3.1
- async-timeout==4.0.3
- attrs==23.1.0
- bark==0.1.5
- boto3==1.28.61
- botocore==1.31.61
- certifi==2023.7.22
- charset-normalizer==3.3.0
- datasets==2.14.5
- dill==0.3.7
- einops==0.7.0
- encodec==0.1.1
- filelock==3.12.4
- frozenlist==1.4.0
- fsspec==2023.6.0
- funcy==2.0
- grpcio==1.59.0
- huggingface-hub==0.16.4
- idna==3.4
- jinja2==3.1.2
- jmespath==1.0.1
- markupsafe==2.1.3
- mpmath==1.3.0
- multidict==6.0.4
- multiprocess==0.70.15
- networkx==3.1
- numpy==1.26.0
- nvidia-cublas-cu12==12.1.3.1
- nvidia-cuda-cupti-cu12==12.1.105
- nvidia-cuda-nvrtc-cu12==12.1.105
- nvidia-cuda-runtime-cu12==12.1.105
- nvidia-cudnn-cu12==8.9.2.26
- nvidia-cufft-cu12==11.0.2.54
- nvidia-curand-cu12==10.3.2.106
- nvidia-cusolver-cu12==11.4.5.107
- nvidia-cusparse-cu12==12.1.0.106
- nvidia-nccl-cu12==2.18.1
- nvidia-nvjitlink-cu12==12.2.140
- nvidia-nvtx-cu12==12.1.105
- packaging==23.2
- pandas==2.1.1
- peft==0.5.0
- protobuf==4.24.4
- psutil==5.9.5
- pyarrow==13.0.0
- python-dateutil==2.8.2
- pytz==2023.3.post1
- pyyaml==6.0.1
- regex==2023.10.3
- requests==2.31.0
- rouge==1.0.1
- s3transfer==0.7.0
- safetensors==0.3.3
- scipy==1.11.3
- six==1.16.0
- sympy==1.12
- tokenizers==0.14.0
- torch==2.1.0
- torchaudio==2.1.0
- tqdm==4.66.1
- transformers==4.34.0
- triton==2.1.0
- typing-extensions==4.8.0
- tzdata==2023.3
- urllib3==1.26.17
- xxhash==3.4.1
- yarl==1.9.2
prefix: /opt/conda/envs/bark

11
extra/grpc/diffusers/Makefile Normal file
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@ -0,0 +1,11 @@
.PONY: diffusers
diffusers:
@echo "Creating virtual environment..."
@conda env create --name diffusers --file diffusers.yml
@echo "Virtual environment created."
.PONY: run
run:
@echo "Running diffusers..."
bash run.sh
@echo "Diffusers run."

5
extra/grpc/diffusers/README.md Normal file
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@ -0,0 +1,5 @@
# Creating a separate environment for the diffusers project
```
make diffusers
```

31
extra/grpc/diffusers/backend_diffusers.py
View File

@ -1,27 +1,32 @@
#!/usr/bin/env python3
import grpc
from concurrent import futures
import time
import backend_pb2
import backend_pb2_grpc
import argparse
from collections import defaultdict
from enum import Enum
import signal
import sys
import time
import os
# import diffusers
import torch
from torch import autocast
from diffusers import StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler
from diffusers.pipelines.stable_diffusion import safety_checker
from compel import Compel
from PIL import Image
from io import BytesIO
import torch
import backend_pb2
import backend_pb2_grpc
import grpc
from diffusers import StableDiffusionXLPipeline, StableDiffusionDepth2ImgPipeline, DPMSolverMultistepScheduler, StableDiffusionPipeline, DiffusionPipeline, EulerAncestralDiscreteScheduler
from diffusers import StableDiffusionImg2ImgPipeline
from diffusers.pipelines.stable_diffusion import safety_checker
from compel import Compel
from transformers import CLIPTextModel
from enum import Enum
from collections import defaultdict
from safetensors.torch import load_file
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
COMPEL=os.environ.get("COMPEL", "1") == "1"
CLIPSKIP=os.environ.get("CLIPSKIP", "1") == "1"

74
extra/grpc/diffusers/diffusers.yml Normal file
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@ -0,0 +1,74 @@
name: diffusers
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
- openssl=3.0.11=h7f8727e_2
- pip=23.2.1=py311h06a4308_0
- python=3.11.5=h955ad1f_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py311h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- tzdata=2023c=h04d1e81_0
- wheel=0.41.2=py311h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- accelerate==0.23.0
- certifi==2023.7.22
- charset-normalizer==3.3.0
- compel==2.0.2
- diffusers==0.21.4
- filelock==3.12.4
- fsspec==2023.9.2
- grpcio==1.59.0
- huggingface-hub==0.17.3
- idna==3.4
- importlib-metadata==6.8.0
- jinja2==3.1.2
- markupsafe==2.1.3
- mpmath==1.3.0
- networkx==3.1
- numpy==1.26.0
- nvidia-cublas-cu12==12.1.3.1
- nvidia-cuda-cupti-cu12==12.1.105
- nvidia-cuda-nvrtc-cu12==12.1.105
- nvidia-cuda-runtime-cu12==12.1.105
- nvidia-cudnn-cu12==8.9.2.26
- nvidia-cufft-cu12==11.0.2.54
- nvidia-curand-cu12==10.3.2.106
- nvidia-cusolver-cu12==11.4.5.107
- nvidia-cusparse-cu12==12.1.0.106
- nvidia-nccl-cu12==2.18.1
- nvidia-nvjitlink-cu12==12.2.140
- nvidia-nvtx-cu12==12.1.105
- packaging==23.2
- pillow==10.0.1
- protobuf==4.24.4
- psutil==5.9.5
- pyparsing==3.1.1
- pyyaml==6.0.1
- regex==2023.10.3
- requests==2.31.0
- safetensors==0.4.0
- sympy==1.12
- tokenizers==0.14.1
- torch==2.1.0
- tqdm==4.66.1
- transformers==4.34.0
- triton==2.1.0
- typing-extensions==4.8.0
- urllib3==2.0.6
- zipp==3.17.0
prefix: /opt/conda/envs/diffusers

14
extra/grpc/diffusers/run.sh Executable file
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@ -0,0 +1,14 @@
#!/bin/bash
##
## A bash script wrapper that runs the diffusers server with conda
export PATH=$PATH:/opt/conda/bin
# Activate conda environment
source activate diffusers
# get the directory where the bash script is located
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
python $DIR/backend_diffusers.py $@

11
extra/grpc/exllama/Makefile Normal file
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@ -0,0 +1,11 @@
.PONY: exllama
exllama:
@echo "Creating virtual environment..."
@conda env create --name exllama --file exllama.yml
@echo "Virtual environment created."
.PONY: run
run:
@echo "Running exllama..."
bash run.sh
@echo "exllama run."

5
extra/grpc/exllama/README.md Normal file
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@ -0,0 +1,5 @@
# Creating a separate environment for the exllama project
```
make exllama
```

55
extra/grpc/exllama/exllama.yml Normal file
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@ -0,0 +1,55 @@
name: exllama
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
- openssl=3.0.11=h7f8727e_2
- pip=23.2.1=py311h06a4308_0
- python=3.11.5=h955ad1f_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py311h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- tzdata=2023c=h04d1e81_0
- wheel=0.41.2=py311h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- filelock==3.12.4
- fsspec==2023.9.2
- grpcio==1.59.0
- jinja2==3.1.2
- markupsafe==2.1.3
- mpmath==1.3.0
- networkx==3.1
- ninja==1.11.1
- nvidia-cublas-cu12==12.1.3.1
- nvidia-cuda-cupti-cu12==12.1.105
- nvidia-cuda-nvrtc-cu12==12.1.105
- nvidia-cuda-runtime-cu12==12.1.105
- nvidia-cudnn-cu12==8.9.2.26
- nvidia-cufft-cu12==11.0.2.54
- nvidia-curand-cu12==10.3.2.106
- nvidia-cusolver-cu12==11.4.5.107
- nvidia-cusparse-cu12==12.1.0.106
- nvidia-nccl-cu12==2.18.1
- nvidia-nvjitlink-cu12==12.2.140
- nvidia-nvtx-cu12==12.1.105
- protobuf==4.24.4
- safetensors==0.3.2
- sentencepiece==0.1.99
- sympy==1.12
- torch==2.1.0
- triton==2.1.0
- typing-extensions==4.8.0
prefix: /opt/conda/envs/exllama

14
extra/grpc/exllama/run.sh Executable file
View File

@ -0,0 +1,14 @@
#!/bin/bash
##
## A bash script wrapper that runs the exllama server with conda
export PATH=$PATH:/opt/conda/bin
# Activate conda environment
source activate exllama
# get the directory where the bash script is located
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
python $DIR/exllama.py $@

18
extra/grpc/huggingface/Makefile Normal file
View File

@ -0,0 +1,18 @@
.PONY: huggingface
huggingface:
@echo "Creating virtual environment..."
@conda env create --name huggingface --file huggingface.yml
@echo "Virtual environment created."
.PONY: run
run:
@echo "Running huggingface..."
bash run.sh
@echo "huggingface run."
# It is not working well by using command line. It only6 works with IDE like VSCode.
.PONY: test
test:
@echo "Testing huggingface..."
bash test.sh
@echo "huggingface tested."

5
extra/grpc/huggingface/README.md Normal file
View File

@ -0,0 +1,5 @@
# Creating a separate environment for the huggingface project
```
make huggingface
```

55
extra/grpc/huggingface/huggingface.py
View File

@ -1,13 +1,20 @@
"""
Extra gRPC server for HuggingFace SentenceTransformer models.
"""
#!/usr/bin/env python3
import grpc
from concurrent import futures
import time
import backend_pb2
import backend_pb2_grpc
import argparse
import signal
import sys
import os
import time
import backend_pb2
import backend_pb2_grpc
import grpc
from sentence_transformers import SentenceTransformer
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
@ -17,18 +24,56 @@ MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
# Implement the BackendServicer class with the service methods
class BackendServicer(backend_pb2_grpc.BackendServicer):
"""
A gRPC servicer for the backend service.
This class implements the gRPC methods for the backend service, including Health, LoadModel, and Embedding.
"""
def Health(self, request, context):
"""
A gRPC method that returns the health status of the backend service.
Args:
request: A HealthRequest object that contains the request parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A Reply object that contains the health status of the backend service.
"""
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
def LoadModel(self, request, context):
"""
A gRPC method that loads a model into memory.
Args:
request: A LoadModelRequest object that contains the request parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
A Result object that contains the result of the LoadModel operation.
"""
model_name = request.Model
try:
self.model = SentenceTransformer(model_name)
except Exception as err:
return backend_pb2.Result(success=False, message=f"Unexpected {err=}, {type(err)=}")
# Implement your logic here for the LoadModel service
# Replace this with your desired response
return backend_pb2.Result(message="Model loaded successfully", success=True)
def Embedding(self, request, context):
"""
A gRPC method that calculates embeddings for a given sentence.
Args:
request: An EmbeddingRequest object that contains the request parameters.
context: A grpc.ServicerContext object that provides information about the RPC.
Returns:
An EmbeddingResult object that contains the calculated embeddings.
"""
# Implement your logic here for the Embedding service
# Replace this with your desired response
print("Calculated embeddings for: " + request.Embeddings, file=sys.stderr)
@ -66,4 +111,4 @@ if __name__ == "__main__":
)
args = parser.parse_args()
serve(args.addr)
serve(args.addr)

77
extra/grpc/huggingface/huggingface.yml Normal file
View File

@ -0,0 +1,77 @@
name: huggingface
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
- openssl=3.0.11=h7f8727e_2
- pip=23.2.1=py311h06a4308_0
- python=3.11.5=h955ad1f_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py311h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- tzdata=2023c=h04d1e81_0
- wheel=0.41.2=py311h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- certifi==2023.7.22
- charset-normalizer==3.3.0
- click==8.1.7
- filelock==3.12.4
- fsspec==2023.9.2
- grpcio==1.59.0
- huggingface-hub==0.17.3
- idna==3.4
- install==1.3.5
- jinja2==3.1.2
- joblib==1.3.2
- markupsafe==2.1.3
- mpmath==1.3.0
- networkx==3.1
- nltk==3.8.1
- numpy==1.26.0
- nvidia-cublas-cu12==12.1.3.1
- nvidia-cuda-cupti-cu12==12.1.105
- nvidia-cuda-nvrtc-cu12==12.1.105
- nvidia-cuda-runtime-cu12==12.1.105
- nvidia-cudnn-cu12==8.9.2.26
- nvidia-cufft-cu12==11.0.2.54
- nvidia-curand-cu12==10.3.2.106
- nvidia-cusolver-cu12==11.4.5.107
- nvidia-cusparse-cu12==12.1.0.106
- nvidia-nccl-cu12==2.18.1
- nvidia-nvjitlink-cu12==12.2.140
- nvidia-nvtx-cu12==12.1.105
- packaging==23.2
- pillow==10.0.1
- protobuf==4.24.4
- pyyaml==6.0.1
- regex==2023.10.3
- requests==2.31.0
- safetensors==0.4.0
- scikit-learn==1.3.1
- scipy==1.11.3
- sentence-transformers==2.2.2
- sentencepiece==0.1.99
- sympy==1.12
- threadpoolctl==3.2.0
- tokenizers==0.14.1
- torch==2.1.0
- torchvision==0.16.0
- tqdm==4.66.1
- transformers==4.34.0
- triton==2.1.0
- typing-extensions==4.8.0
- urllib3==2.0.6
prefix: /opt/conda/envs/huggingface

14
extra/grpc/huggingface/run.sh Executable file
View File

@ -0,0 +1,14 @@
#!/bin/bash
##
## A bash script wrapper that runs the huggingface server with conda
export PATH=$PATH:/opt/conda/bin
# Activate conda environment
source activate huggingface
# get the directory where the bash script is located
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
python $DIR/huggingface.py $@

11
extra/grpc/huggingface/test.sh Normal file
View File

@ -0,0 +1,11 @@
#!/bin/bash
##
## A bash script wrapper that runs the huggingface server with conda
# Activate conda environment
source activate huggingface
# get the directory where the bash script is located
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
python -m unittest $DIR/test_huggingface.py

81
extra/grpc/huggingface/test_huggingface.py Normal file
View File

@ -0,0 +1,81 @@
"""
A test script to test the gRPC service
"""
import unittest
import subprocess
import time
import backend_pb2
import backend_pb2_grpc
import grpc
class TestBackendServicer(unittest.TestCase):
"""
TestBackendServicer is the class that tests the gRPC service
"""
def setUp(self):
"""
This method sets up the gRPC service by starting the server
"""
self.service = subprocess.Popen(["python3", "huggingface.py", "--addr", "localhost:50051"])
def tearDown(self) -> None:
"""
This method tears down the gRPC service by terminating the server
"""
self.service.terminate()
self.service.wait()
def test_server_startup(self):
"""
This method tests if the server starts up successfully
"""
time.sleep(2)
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.Health(backend_pb2.HealthMessage())
self.assertEqual(response.message, b'OK')
except Exception as err:
print(err)
self.fail("Server failed to start")
finally:
self.tearDown()
def test_load_model(self):
"""
This method tests if the model is loaded successfully
"""
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.LoadModel(backend_pb2.ModelOptions(Model="bert-base-nli-mean-tokens"))
self.assertTrue(response.success)
self.assertEqual(response.message, "Model loaded successfully")
except Exception as err:
print(err)
self.fail("LoadModel service failed")
finally:
self.tearDown()
def test_embedding(self):
"""
This method tests if the embeddings are generated successfully
"""
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.LoadModel(backend_pb2.ModelOptions(Model="bert-base-nli-mean-tokens"))
self.assertTrue(response.success)
embedding_request = backend_pb2.PredictOptions(Embeddings="This is a test sentence.")
embedding_response = stub.Embedding(embedding_request)
self.assertIsNotNone(embedding_response.embeddings)
except Exception as err:
print(err)
self.fail("Embedding service failed")
finally:
self.tearDown()

11
extra/grpc/vall-e-x/Makefile Normal file
View File

@ -0,0 +1,11 @@
.PONY: ttsvalle
ttsvalle:
@echo "Creating virtual environment..."
@conda env create --name ttsvalle --file ttsvalle.yml
@echo "Virtual environment created."
.PONY: run
run:
@echo "Running ttsvalle..."
bash run.sh
@echo "ttsvalle run."

5
extra/grpc/vall-e-x/README.md Normal file
View File

@ -0,0 +1,5 @@
# Creating a separate environment for the ttsvalle project
```
make ttsvalle
```

13
extra/grpc/vall-e-x/run.sh Executable file
View File

@ -0,0 +1,13 @@
#!/bin/bash
##
## A bash script wrapper that runs the ttsvalle server with conda
export PATH=$PATH:/opt/conda/bin
# Activate conda environment
source activate ttsvalle
# get the directory where the bash script is located
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
python $DIR/ttvalle.py $@

49
extra/grpc/vall-e-x/ttsvalle.py
View File

@ -1,14 +1,15 @@
#!/usr/bin/env python3
import grpc
from concurrent import futures
import time
import backend_pb2
import backend_pb2_grpc
import argparse
import signal
import sys
import os
from pathlib import Path
import time
import backend_pb2
import backend_pb2_grpc
import grpc
from utils.generation import SAMPLE_RATE, generate_audio, preload_models
from scipy.io.wavfile import write as write_wav
@ -21,9 +22,34 @@ MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
# Implement the BackendServicer class with the service methods
class BackendServicer(backend_pb2_grpc.BackendServicer):
"""
gRPC servicer for backend services.
"""
def Health(self, request, context):
"""
Health check service.
Args:
request: A backend_pb2.HealthRequest instance.
context: A grpc.ServicerContext instance.
Returns:
A backend_pb2.Reply instance with message "OK".
"""
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
def LoadModel(self, request, context):
"""
Load model service.
Args:
request: A backend_pb2.LoadModelRequest instance.
context: A grpc.ServicerContext instance.
Returns:
A backend_pb2.Result instance with message "Model loaded successfully" and success=True if successful.
A backend_pb2.Result instance with success=False and error message if unsuccessful.
"""
model_name = request.Model
try:
print("Preparing models, please wait", file=sys.stderr)
@ -49,6 +75,17 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
return backend_pb2.Result(message="Model loaded successfully", success=True)
def TTS(self, request, context):
"""
Text-to-speech service.
Args:
request: A backend_pb2.TTSRequest instance.
context: A grpc.ServicerContext instance.
Returns:
A backend_pb2.Result instance with success=True if successful.
A backend_pb2.Result instance with success=False and error message if unsuccessful.
"""
model = request.model
print(request, file=sys.stderr)
try:
@ -97,4 +134,4 @@ if __name__ == "__main__":
)
args = parser.parse_args()
serve(args.addr)
serve(args.addr)

101
extra/grpc/vall-e-x/ttsvalle.yml Normal file
View File

@ -0,0 +1,101 @@
name: ttsvalle
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
- openssl=3.0.11=h7f8727e_2
- pip=23.2.1=py310h06a4308_0
- python=3.10.13=h955ad1f_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py310h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- tzdata=2023c=h04d1e81_0
- wheel=0.41.2=py310h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- aiofiles==23.2.1
- altair==5.1.2
- annotated-types==0.6.0
- anyio==3.7.1
- click==8.1.7
- cn2an==0.5.22
- cython==3.0.3
- einops==0.7.0
- encodec==0.1.1
- eng-to-ipa==0.0.2
- fastapi==0.103.2
- ffmpeg-python==0.2.0
- ffmpy==0.3.1
- fsspec==2023.9.2
- future==0.18.3
- gradio==3.47.1
- gradio-client==0.6.0
- grpcio==1.59.0
- h11==0.14.0
- httpcore==0.18.0
- httpx==0.25.0
- huggingface-hub==0.17.3
- importlib-resources==6.1.0
- inflect==7.0.0
- jieba==0.42.1
- langid==1.1.6
- llvmlite==0.41.0
- more-itertools==10.1.0
- nltk==3.8.1
- numba==0.58.0
- numpy==1.25.2
- nvidia-cublas-cu12==12.1.3.1
- nvidia-cuda-cupti-cu12==12.1.105
- nvidia-cuda-nvrtc-cu12==12.1.105
- nvidia-cuda-runtime-cu12==12.1.105
- nvidia-cudnn-cu12==8.9.2.26
- nvidia-cufft-cu12==11.0.2.54
- nvidia-curand-cu12==10.3.2.106
- nvidia-cusolver-cu12==11.4.5.107
- nvidia-cusparse-cu12==12.1.0.106
- nvidia-nccl-cu12==2.18.1
- nvidia-nvjitlink-cu12==12.2.140
- nvidia-nvtx-cu12==12.1.105
- openai-whisper==20230306
- orjson==3.9.7
- proces==0.1.7
- protobuf==4.24.4
- pydantic==2.4.2
- pydantic-core==2.10.1
- pydub==0.25.1
- pyopenjtalk-prebuilt==0.3.0
- pypinyin==0.49.0
- python-multipart==0.0.6
- regex==2023.10.3
- safetensors==0.4.0
- semantic-version==2.10.0
- soundfile==0.12.1
- starlette==0.27.0
- sudachidict-core==20230927
- sudachipy==0.6.7
- tokenizers==0.14.1
- toolz==0.12.0
- torch==2.1.0
- torchaudio==2.1.0
- torchvision==0.16.0
- tqdm==4.66.1
- transformers==4.34.0
- triton==2.1.0
- unidecode==1.3.7
- uvicorn==0.23.2
- vocos==0.0.3
- websockets==11.0.3
- wget==3.2
prefix: /opt/conda/envs/ttsvalle

11
extra/grpc/vllm/Makefile Normal file
View File

@ -0,0 +1,11 @@
.PONY: vllm
vllm:
@echo "Creating virtual environment..."
@conda env create --name vllm --file vllm.yml
@echo "Virtual environment created."
.PONY: run
run:
@echo "Running vllm..."
bash run.sh
@echo "vllm run."

5
extra/grpc/vllm/README.md Normal file
View File

@ -0,0 +1,5 @@
# Creating a separate environment for the vllm project
```
make vllm
```

67
extra/grpc/vllm/backend_vllm.py
View File

@ -1,15 +1,15 @@
#!/usr/bin/env python3
import grpc
from concurrent import futures
import time
import backend_pb2
import backend_pb2_grpc
import argparse
import signal
import sys
import os, glob
import os
from pathlib import Path
import backend_pb2
import backend_pb2_grpc
import grpc
from vllm import LLM, SamplingParams
_ONE_DAY_IN_SECONDS = 60 * 60 * 24
@ -19,7 +19,20 @@ MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
# Implement the BackendServicer class with the service methods
class BackendServicer(backend_pb2_grpc.BackendServicer):
"""
A gRPC servicer that implements the Backend service defined in backend.proto.
"""
def generate(self,prompt, max_new_tokens):
"""
Generates text based on the given prompt and maximum number of new tokens.
Args:
prompt (str): The prompt to generate text from.
max_new_tokens (int): The maximum number of new tokens to generate.
Returns:
str: The generated text.
"""
self.generator.end_beam_search()
# Tokenizing the input
@ -41,9 +54,31 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
if token.item() == self.generator.tokenizer.eos_token_id:
break
return decoded_text
def Health(self, request, context):
"""
Returns a health check message.
Args:
request: The health check request.
context: The gRPC context.
Returns:
backend_pb2.Reply: The health check reply.
"""
return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
def LoadModel(self, request, context):
"""
Loads a language model.
Args:
request: The load model request.
context: The gRPC context.
Returns:
backend_pb2.Result: The load model result.
"""
try:
if request.Quantization != "":
self.llm = LLM(model=request.Model, quantization=request.Quantization)
@ -54,6 +89,16 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
return backend_pb2.Result(message="Model loaded successfully", success=True)
def Predict(self, request, context):
"""
Generates text based on the given prompt and sampling parameters.
Args:
request: The predict request.
context: The gRPC context.
Returns:
backend_pb2.Result: The predict result.
"""
if request.TopP == 0:
request.TopP = 0.9
@ -68,6 +113,16 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
return backend_pb2.Result(message=bytes(generated_text, encoding='utf-8'))
def PredictStream(self, request, context):
"""
Generates text based on the given prompt and sampling parameters, and streams the results.
Args:
request: The predict stream request.
context: The gRPC context.
Returns:
backend_pb2.Result: The predict stream result.
"""
# Implement PredictStream RPC
#for reply in some_data_generator():
# yield reply
@ -104,4 +159,4 @@ if __name__ == "__main__":
)
args = parser.parse_args()
serve(args.addr)
serve(args.addr)

14
extra/grpc/vllm/run.sh Executable file
View File

@ -0,0 +1,14 @@
#!/bin/bash
##
## A bash script wrapper that runs the diffusers server with conda
export PATH=$PATH:/opt/conda/bin
# Activate conda environment
source activate vllm
# get the directory where the bash script is located
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
python $DIR/backend_vllm.py $@

41
extra/grpc/vllm/test_backend_vllm.py Normal file
View File

@ -0,0 +1,41 @@
import unittest
import subprocess
import time
import backend_pb2
import backend_pb2_grpc
import grpc
import unittest
import subprocess
import time
import grpc
import backend_pb2_grpc
import backend_pb2
class TestBackendServicer(unittest.TestCase):
"""
TestBackendServicer is the class that tests the gRPC service.
This class contains methods to test the startup and shutdown of the gRPC service.
"""
def setUp(self):
self.service = subprocess.Popen(["python", "backend_vllm.py", "--addr", "localhost:50051"])
def tearDown(self) -> None:
self.service.terminate()
self.service.wait()
def test_server_startup(self):
time.sleep(2)
try:
self.setUp()
with grpc.insecure_channel("localhost:50051") as channel:
stub = backend_pb2_grpc.BackendStub(channel)
response = stub.Health(backend_pb2.HealthMessage())
self.assertEqual(response.message, b'OK')
except Exception as err:
print(err)
self.fail("Server failed to start")
finally:
self.tearDown()

99
extra/grpc/vllm/vllm.yml Normal file
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@ -0,0 +1,99 @@
name: vllm
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2023.08.22=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- libuuid=1.41.5=h5eee18b_0
- ncurses=6.4=h6a678d5_0
- openssl=3.0.11=h7f8727e_2
- pip=23.2.1=py311h06a4308_0
- python=3.11.5=h955ad1f_0
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py311h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- wheel=0.41.2=py311h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- aiosignal==1.3.1
- anyio==3.7.1
- attrs==23.1.0
- certifi==2023.7.22
- charset-normalizer==3.3.0
- click==8.1.7
- cmake==3.27.6
- fastapi==0.103.2
- filelock==3.12.4
- frozenlist==1.4.0
- fsspec==2023.9.2
- grpcio==1.59.0
- h11==0.14.0
- httptools==0.6.0
- huggingface-hub==0.17.3
- idna==3.4
- jinja2==3.1.2
- jsonschema==4.19.1
- jsonschema-specifications==2023.7.1
- lit==17.0.2
- markupsafe==2.1.3
- mpmath==1.3.0
- msgpack==1.0.7
- networkx==3.1
- ninja==1.11.1
- numpy==1.26.0
- nvidia-cublas-cu11==11.10.3.66
- nvidia-cuda-cupti-cu11==11.7.101
- nvidia-cuda-nvrtc-cu11==11.7.99
- nvidia-cuda-runtime-cu11==11.7.99
- nvidia-cudnn-cu11==8.5.0.96
- nvidia-cufft-cu11==10.9.0.58
- nvidia-curand-cu11==10.2.10.91
- nvidia-cusolver-cu11==11.4.0.1
- nvidia-cusparse-cu11==11.7.4.91
- nvidia-nccl-cu11==2.14.3
- nvidia-nvtx-cu11==11.7.91
- packaging==23.2
- pandas==2.1.1
- protobuf==4.24.4
- psutil==5.9.5
- pyarrow==13.0.0
- pydantic==1.10.13
- python-dateutil==2.8.2
- python-dotenv==1.0.0
- pytz==2023.3.post1
- pyyaml==6.0.1
- ray==2.7.0
- referencing==0.30.2
- regex==2023.10.3
- requests==2.31.0
- rpds-py==0.10.4
- safetensors==0.4.0
- sentencepiece==0.1.99
- six==1.16.0
- sniffio==1.3.0
- starlette==0.27.0
- sympy==1.12
- tokenizers==0.14.1
- torch==2.0.1
- tqdm==4.66.1
- transformers==4.34.0
- triton==2.0.0
- typing-extensions==4.8.0
- tzdata==2023.3
- urllib3==2.0.6
- uvicorn==0.23.2
- uvloop==0.17.0
- vllm==0.2.0
- watchfiles==0.20.0
- websockets==11.0.3
- xformers==0.0.22
prefix: /opt/conda/envs/vllm