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* Moves model server TFRT integration code oss (commit: 50ebab4ca601b5243b7aac674628954bef2d734b)
I'm really interested in this feature, so I tried to patch platform_config_utils.cc & server_init.cc, I could successfully build tensorflow serving with TFRT and inference arbitrary saved models (usually in CPU, transformer-based models).
Following the blog posts and GCP Vertex AI's guide, I expected that TFRT could show better performance.
But I think maybe due to plenty of tuning points, I couldn't get the great performance til now.
So it would be great if I could know when TF Serving with TFRT is released.
The text was updated successfully, but these errors were encountered:
Feature Request
May I know the expected release date of TensorFlow Serving with TensorFlow Runtime?
For the background, recently, I found that tensorflow runtime is integrated into tensorflow/serving codes. (2.15.0-rc0 release)
serving/RELEASE.md
Line 42 in 0bfaf6a
I'm really interested in this feature, so I tried to patch platform_config_utils.cc & server_init.cc, I could successfully build tensorflow serving with TFRT and inference arbitrary saved models (usually in CPU, transformer-based models).
Following the blog posts and GCP Vertex AI's guide, I expected that TFRT could show better performance.
But I think maybe due to plenty of tuning points, I couldn't get the great performance til now.
So it would be great if I could know when TF Serving with TFRT is released.
The text was updated successfully, but these errors were encountered: