serving
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A flexible, high-performance serving system for machine learning models
I can't use s3 (minio) with TensorFlow serving version (2.8->2.9) on Docker. It gets an error: ```bash Failed to start the server. Error: UNIMPLEMENTED: File system scheme 's3' not implemented...
## Bug Report ### System information - **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: Linux - **TensorFlow Serving installed from (source or binary)**: docker image - **TensorFlow Serving version**:...
### System information - OS: * Windows 11, 21H2, build 22000.856 * WSL2, Ubuntu 22.04 -- allocated 8Gb in .wslconfig - TF Serving installed using docker, version 2.9.1 - Hardware:...
…rs/http_server.cc and all net_http files accordingly. Also, removed everything from net_http/client except test_client to make room for new client API and basic implementation as specified in pull request #1912
## Feature Request ### Describe the problem the feature is intended to solve I have thousands of models to be served, but quite a big part of these models are...
I have seen through both documentation and API documentation for save and many other functions related to model building but I could not find enough documentation about building a model...
There exist two configuration parameters in TensorFlow serving to utilize CPU called `tensorflow_intra_op_parallelism` and `tensorflow_inter_op_parallelism` which tuning them can have great impact on the model server performance (throughput, latency). I...
### System information - **OS Platform and Distribution (Linux Ubuntu 16.04)**: - **TensorFlow Serving installed from (source and binary)**: - **TensorFlow Serving version is 2.5.2**: ### Describe the problem 1....
I'm trying to server my Object Detection model via TF Serving and I'm unable to get results on the client side script.  I'm running this in...
Updating link for GPU docker file from "https://github.com/tensorflow/serving/blob/master/tensorflow_serving/tools/docker/Dockerfile.devel-gpu" to "https://github.com/tensorflow/serving/blob/master/tensorflow_serving/tools/docker/Dockerfile.gpu". Reference Issue: https://github.com/tensorflow/serving/issues/2053