Comments (2)
The frontend layers selects the GPU device in a round robin fashion and passes the device ID on to the backend handler where user can use it to initialize the torch.device object with specified GPU ID.
The details for handling model execution is already documented here.
from serve.
Hi there,
Lookin at this for some time and I think it is still super obscure where that gpu_id
parameter should come from. Is that even possible that we deploy two models, one on cpu
and the other one on cuda:0
? Do we set this param from the config.properties
file's models=
section?
from serve.
Related Issues (20)
- Torchserve error for more than 14 python async requests on workflow HOT 2
- TorchServe linux aarch64 plan
- Serve multiple models with both CPU and GPU HOT 3
- How to modify torchserve’s Python runtime from 3.8.0 to 3.10 HOT 1
- TorchServe crashes in production with `WorkerThread - IllegalStateException error' HOT 4
- Unable to use build_image.sh to build the cu102 version of the image HOT 2
- Metrics collector crashes when NVIDIA MIGs are present HOT 1
- Server crashes in production with `WorkerThread - IllegalStateException error' HOT 1
- Whether the pre- and post-processing operations of batch processing are parallel HOT 1
- Update cpp/llamacpp to Llama 3 HOT 1
- Update LLM/llama2 to Llama3
- Update large_models/inferentia2/llama2 to Llama3
- Update large_models/tp_llama to llama3
- Update large_models/gpt_fast to llama3
- How to pass parameters from preprocessing to postprocessing when using micro-batch operations HOT 4
- Load model failed - error: Worker died HOT 5
- Docker regression failure: test_handler_traceback_logging.py
- Exchange Llama2 against Llama3 in HF_accelerate example
- CUDA out of Memory with low Memory Utilization (CUDA error: device-side assert triggered) HOT 4
- If micro_batch_size of micro-batch is set to 1, then model inference is still batch processing? HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from serve.