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Replace stacks-tensorflow-mkl with stacks-dlrs-mkl per @DnPls. (#955)

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Signed-off-by: Michael Vincerra <michael.vincerra@intel.com>
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michael vincerra
2019-12-11 11:21:01 -08:00
committed by GitHub
parent 0a8674c530
commit e2e1a2896c
1 changed files with 2 additions and 2 deletions
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source/guides/stacks/dlrs.rst
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@@ -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