Comments (2)
singhniraj08
commented on June 12, 2024
You can try building Tensorflow Serving from source and if you are interested in optimized builds you can follow optimize build section to utilize platform-specific instruction sets for your processor. It is also possible to compile using specific instruction sets (e.g. AVX, AVX2. FMA).
Thank you!
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kokroo
commented on June 12, 2024
@singhniraj08 Hello,
I can definitely do that, but for most people, it is not convenient. A lot of people are just data scientists using a docker image, and it would be really convenient if tensorflow publishes docker images with special tags, which are already compiled to utilize those specific CPU instructions.
from serving.
Related Issues (20)
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- java.lang.RuntimeException: Unexpected code Response{protocol=http/1.1, code=400, message=Bad Request, url=http://localhost:8501/v1/models/myfruit:predict} HOT 6
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