mirror of
https://github.com/mudler/LocalAI.git
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feat(conda): conda environments (#1144)
* 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. **[Signed commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)** - [x] Yes, I signed my commits. <!-- Thank you for contributing to LocalAI! Contributing Conventions ------------------------- The draft above helps to give a quick overview of your PR. Remember to remove this comment and to at least: 1. Include descriptive PR titles with [<component-name>] prepended. We use [conventional commits](https://www.conventionalcommits.org/en/v1.0.0/). 2. Build and test your changes before submitting a PR (`make build`). 3. Sign your commits 4. **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below). 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 out! By following the community's contribution conventions upfront, the review process will be accelerated and your PR merged more quickly. If no one reviews your PR within a few days, please @-mention @mudler. --> 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 **[Signed commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)** - [x] Yes, I signed my commits. <!-- Thank you for contributing to LocalAI! Contributing Conventions ------------------------- The draft above helps to give a quick overview of your PR. Remember to remove this comment and to at least: 1. Include descriptive PR titles with [<component-name>] prepended. We use [conventional commits](https://www.conventionalcommits.org/en/v1.0.0/). 2. Build and test your changes before submitting a PR (`make build`). 3. Sign your commits 4. **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below). 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 out! By following the community's contribution conventions upfront, the review process will be accelerated and your PR merged more quickly. If no one reviews your PR within a few days, please @-mention @mudler. --> Signed-off-by: GitHub <noreply@github.com> 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! ``` **[Signed commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)** - [x] Yes, I signed my commits. <!-- Thank you for contributing to LocalAI! Contributing Conventions ------------------------- The draft above helps to give a quick overview of your PR. Remember to remove this comment and to at least: 1. Include descriptive PR titles with [<component-name>] prepended. We use [conventional commits](https://www.conventionalcommits.org/en/v1.0.0/). 2. Build and test your changes before submitting a PR (`make build`). 3. Sign your commits 4. **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below). 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 out! By following the community's contribution conventions upfront, the review process will be accelerated and your PR merged more quickly. If no one reviews your PR within a few days, please @-mention @mudler. --> Signed-off-by: GitHub <noreply@github.com> 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 ``` **[Signed commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)** - [x] Yes, I signed my commits. <!-- Thank you for contributing to LocalAI! Contributing Conventions ------------------------- The draft above helps to give a quick overview of your PR. Remember to remove this comment and to at least: 1. Include descriptive PR titles with [<component-name>] prepended. We use [conventional commits](https://www.conventionalcommits.org/en/v1.0.0/). 2. Build and test your changes before submitting a PR (`make build`). 3. Sign your commits 4. **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below). 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 out! By following the community's contribution conventions upfront, the review process will be accelerated and your PR merged more quickly. If no one reviews your PR within a few days, please @-mention @mudler. --> 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:
parent
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44 changed files with 1288 additions and 163 deletions
11
extra/grpc/vllm/Makefile
Normal file
11
extra/grpc/vllm/Makefile
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@ -0,0 +1,11 @@
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.PONY: vllm
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vllm:
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@echo "Creating virtual environment..."
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@conda env create --name vllm --file vllm.yml
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@echo "Virtual environment created."
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.PONY: run
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run:
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@echo "Running vllm..."
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bash run.sh
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@echo "vllm run."
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5
extra/grpc/vllm/README.md
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5
extra/grpc/vllm/README.md
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@ -0,0 +1,5 @@
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# Creating a separate environment for the vllm project
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```
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make vllm
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```
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@ -1,15 +1,15 @@
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#!/usr/bin/env python3
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import grpc
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from concurrent import futures
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import time
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import backend_pb2
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import backend_pb2_grpc
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import argparse
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import signal
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import sys
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import os, glob
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import os
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from pathlib import Path
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import backend_pb2
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import backend_pb2_grpc
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import grpc
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from vllm import LLM, SamplingParams
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_ONE_DAY_IN_SECONDS = 60 * 60 * 24
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@ -19,7 +19,20 @@ MAX_WORKERS = int(os.environ.get('PYTHON_GRPC_MAX_WORKERS', '1'))
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# Implement the BackendServicer class with the service methods
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class BackendServicer(backend_pb2_grpc.BackendServicer):
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"""
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A gRPC servicer that implements the Backend service defined in backend.proto.
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"""
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def generate(self,prompt, max_new_tokens):
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"""
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Generates text based on the given prompt and maximum number of new tokens.
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Args:
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prompt (str): The prompt to generate text from.
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max_new_tokens (int): The maximum number of new tokens to generate.
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Returns:
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str: The generated text.
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"""
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self.generator.end_beam_search()
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# Tokenizing the input
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@ -41,9 +54,31 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
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if token.item() == self.generator.tokenizer.eos_token_id:
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break
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return decoded_text
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def Health(self, request, context):
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"""
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Returns a health check message.
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Args:
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request: The health check request.
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context: The gRPC context.
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Returns:
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backend_pb2.Reply: The health check reply.
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"""
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return backend_pb2.Reply(message=bytes("OK", 'utf-8'))
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def LoadModel(self, request, context):
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"""
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Loads a language model.
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Args:
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request: The load model request.
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context: The gRPC context.
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Returns:
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backend_pb2.Result: The load model result.
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"""
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try:
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if request.Quantization != "":
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self.llm = LLM(model=request.Model, quantization=request.Quantization)
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@ -54,6 +89,16 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
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return backend_pb2.Result(message="Model loaded successfully", success=True)
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def Predict(self, request, context):
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"""
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Generates text based on the given prompt and sampling parameters.
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Args:
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request: The predict request.
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context: The gRPC context.
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Returns:
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backend_pb2.Result: The predict result.
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"""
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if request.TopP == 0:
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request.TopP = 0.9
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@ -68,6 +113,16 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
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return backend_pb2.Result(message=bytes(generated_text, encoding='utf-8'))
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def PredictStream(self, request, context):
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"""
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Generates text based on the given prompt and sampling parameters, and streams the results.
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Args:
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request: The predict stream request.
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context: The gRPC context.
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Returns:
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backend_pb2.Result: The predict stream result.
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"""
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# Implement PredictStream RPC
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#for reply in some_data_generator():
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# yield reply
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@ -104,4 +159,4 @@ if __name__ == "__main__":
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)
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args = parser.parse_args()
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serve(args.addr)
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serve(args.addr)
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14
extra/grpc/vllm/run.sh
Executable file
14
extra/grpc/vllm/run.sh
Executable file
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@ -0,0 +1,14 @@
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#!/bin/bash
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##
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## A bash script wrapper that runs the diffusers server with conda
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export PATH=$PATH:/opt/conda/bin
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# Activate conda environment
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source activate vllm
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# get the directory where the bash script is located
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DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
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python $DIR/backend_vllm.py $@
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41
extra/grpc/vllm/test_backend_vllm.py
Normal file
41
extra/grpc/vllm/test_backend_vllm.py
Normal file
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@ -0,0 +1,41 @@
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import unittest
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import subprocess
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import time
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import backend_pb2
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import backend_pb2_grpc
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import grpc
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import unittest
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import subprocess
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import time
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import grpc
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import backend_pb2_grpc
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import backend_pb2
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class TestBackendServicer(unittest.TestCase):
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"""
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TestBackendServicer is the class that tests the gRPC service.
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This class contains methods to test the startup and shutdown of the gRPC service.
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"""
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def setUp(self):
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self.service = subprocess.Popen(["python", "backend_vllm.py", "--addr", "localhost:50051"])
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def tearDown(self) -> None:
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self.service.terminate()
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self.service.wait()
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def test_server_startup(self):
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time.sleep(2)
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try:
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self.setUp()
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with grpc.insecure_channel("localhost:50051") as channel:
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stub = backend_pb2_grpc.BackendStub(channel)
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response = stub.Health(backend_pb2.HealthMessage())
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self.assertEqual(response.message, b'OK')
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except Exception as err:
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print(err)
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self.fail("Server failed to start")
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finally:
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self.tearDown()
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99
extra/grpc/vllm/vllm.yml
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99
extra/grpc/vllm/vllm.yml
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@ -0,0 +1,99 @@
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name: vllm
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channels:
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- defaults
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dependencies:
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- _libgcc_mutex=0.1=main
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- _openmp_mutex=5.1=1_gnu
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- bzip2=1.0.8=h7b6447c_0
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- ca-certificates=2023.08.22=h06a4308_0
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- ld_impl_linux-64=2.38=h1181459_1
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- libffi=3.4.4=h6a678d5_0
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- libgcc-ng=11.2.0=h1234567_1
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- libgomp=11.2.0=h1234567_1
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- libstdcxx-ng=11.2.0=h1234567_1
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- libuuid=1.41.5=h5eee18b_0
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- ncurses=6.4=h6a678d5_0
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- openssl=3.0.11=h7f8727e_2
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- pip=23.2.1=py311h06a4308_0
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- python=3.11.5=h955ad1f_0
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- readline=8.2=h5eee18b_0
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- setuptools=68.0.0=py311h06a4308_0
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- sqlite=3.41.2=h5eee18b_0
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- tk=8.6.12=h1ccaba5_0
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- wheel=0.41.2=py311h06a4308_0
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- xz=5.4.2=h5eee18b_0
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- zlib=1.2.13=h5eee18b_0
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- pip:
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- aiosignal==1.3.1
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- anyio==3.7.1
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- attrs==23.1.0
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- certifi==2023.7.22
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- charset-normalizer==3.3.0
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- click==8.1.7
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- cmake==3.27.6
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- fastapi==0.103.2
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- filelock==3.12.4
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- frozenlist==1.4.0
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- fsspec==2023.9.2
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- grpcio==1.59.0
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- h11==0.14.0
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- httptools==0.6.0
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- huggingface-hub==0.17.3
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- idna==3.4
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- jinja2==3.1.2
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- jsonschema==4.19.1
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- jsonschema-specifications==2023.7.1
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- lit==17.0.2
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- markupsafe==2.1.3
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- mpmath==1.3.0
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- msgpack==1.0.7
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- networkx==3.1
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- ninja==1.11.1
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- numpy==1.26.0
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- nvidia-cublas-cu11==11.10.3.66
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- nvidia-cuda-cupti-cu11==11.7.101
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- nvidia-cuda-nvrtc-cu11==11.7.99
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- nvidia-cuda-runtime-cu11==11.7.99
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- nvidia-cudnn-cu11==8.5.0.96
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- nvidia-cufft-cu11==10.9.0.58
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- nvidia-curand-cu11==10.2.10.91
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- nvidia-cusolver-cu11==11.4.0.1
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- nvidia-cusparse-cu11==11.7.4.91
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- nvidia-nccl-cu11==2.14.3
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- nvidia-nvtx-cu11==11.7.91
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- packaging==23.2
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- pandas==2.1.1
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- protobuf==4.24.4
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- psutil==5.9.5
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- pyarrow==13.0.0
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- pydantic==1.10.13
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- python-dateutil==2.8.2
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- python-dotenv==1.0.0
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- pytz==2023.3.post1
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- pyyaml==6.0.1
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- ray==2.7.0
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- referencing==0.30.2
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- regex==2023.10.3
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- requests==2.31.0
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- rpds-py==0.10.4
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- safetensors==0.4.0
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- sentencepiece==0.1.99
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- six==1.16.0
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- sniffio==1.3.0
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- starlette==0.27.0
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- sympy==1.12
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- tokenizers==0.14.1
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- torch==2.0.1
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- tqdm==4.66.1
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- transformers==4.34.0
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- triton==2.0.0
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- typing-extensions==4.8.0
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- tzdata==2023.3
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- urllib3==2.0.6
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- uvicorn==0.23.2
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- uvloop==0.17.0
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- vllm==0.2.0
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- watchfiles==0.20.0
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- websockets==11.0.3
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- xformers==0.0.22
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prefix: /opt/conda/envs/vllm
|
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Add table
Add a link
Reference in a new issue