From e2e1a2896cefaa7b8ad1a6b4833d84a650f02dd7 Mon Sep 17 00:00:00 2001 From: michael vincerra <37549381+mvincerx@users.noreply.github.com> Date: Wed, 11 Dec 2019 11:21:01 -0800 Subject: [PATCH] Replace stacks-tensorflow-mkl with stacks-dlrs-mkl per @DnPls. (#955) Signed-off-by: Michael Vincerra --- source/guides/stacks/dlrs.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/source/guides/stacks/dlrs.rst b/source/guides/stacks/dlrs.rst index 12115e42..80b6dd8c 100644 --- a/source/guides/stacks/dlrs.rst +++ b/source/guides/stacks/dlrs.rst @@ -557,7 +557,7 @@ This example walks through the basic instructions for using the inference engine .. code-block:: bash - docker run -p 8000:8000 stacks-tensorflow-mkl:latest bash -c ". /workspace/scripts/serve.sh && ie_serving model --model_name resnet --model_path gs://intelai_public_models/resnet_50_i8 --port 8000" + docker run -p 8000:8000 stacks-dlrs-mkl:latest bash -c ". /workspace/scripts/serve.sh && ie_serving model --model_name resnet --model_path gs://intelai_public_models/resnet_50_i8 --port 8000" Once the server is setup, use a :command:`grpc` client to communicate with served model: @@ -784,7 +784,7 @@ Compiling AIXPRT with OpenMP on DLRS To compile AIXPRT for DLRS, you will have to get the community edition of AIXPRT and update the `compile_AIXPRT_source.sh` file.AIXPRT utilizes build configuration files, so to build AIXPRT on the image, copy, the build files from the base image, this can be done by adding these commands -to the end of the stacks-tensorflow-mkl dockerfile: +to the end of the stacks-dlrs-mkl dockerfile: .. code-block:: console