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.

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Signed-off-by: GitHub <[email protected]>
Signed-off-by: Ettore Di Giacinto <[email protected]>

Author: Aisuko

Dockerfile

@@ -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/run.sh,bark:/build/extra/grpc/bark/run.sh,diffusers:/build/extra/grpc/diffusers/run.sh,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/huggingface.py,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/exllama.py,vall-e-x:/build/extra/grpc/vall-e-x/ttsvalle.py,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"
 

Makefile

@@ -413,6 +413,7 @@ prepare-extra-conda-environments:
 	$(MAKE) -C extra/grpc/autogptq
 	$(MAKE) -C extra/grpc/bark
 	$(MAKE) -C extra/grpc/diffusers
+	$(MAKE) -C extra/grpc/vllm
 
 backend-assets/grpc:
 	mkdir -p backend-assets/grpc

extra/grpc/vllm/Makefile

@@ -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."

extra/grpc/vllm/README.md

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

extra/grpc/vllm/backend_vllm.py

@@ -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
+
+import backend_pb2
+import backend_pb2_grpc
 
-from pathlib import Path
+import grpc
 from vllm import LLM, SamplingParams
 
 _ONE_DAY_IN_SECONDS = 60 * 60 * 24
@@ -19,7 +19,20 @@
 
 # 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 @@ def generate(self,prompt, max_new_tokens):
             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 @@ def LoadModel(self, request, context):
         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 @@ def Predict(self, request, context):
         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 @@ def signal_handler(sig, frame):
     )
     args = parser.parse_args()
 
-    serve(args.addr)
+    serve(args.addr)

extra/grpc/vllm/run.sh

@@ -0,0 +1,10 @@
+##
+## A bash script wrapper that runs the diffusers server with conda
+
+# 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

extra/grpc/vllm/test_backend_vllm.py

@@ -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()

extra/grpc/vllm/vllm.yml

@@ -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