AI-PredictionClient

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META.json  view on Meta::CPAN

         "file" : "lib/AI/PredictionClient/Testing/Camel.pm",
         "version" : "0.05"
      },
      "AI::PredictionClient::Testing::PredictionLoopback" : {
         "file" : "lib/AI/PredictionClient/Testing/PredictionLoopback.pm",
         "version" : "0.05"
      }
   },
   "release_status" : "stable",
   "resources" : {
      "homepage" : "https://github.com/mountaintom/AI-PredictionClient",
      "repository" : {
         "type" : "git",
         "url" : "https://github.com/mountaintom/AI-PredictionClient.git",
         "web" : "https://github.com/mountaintom/AI-PredictionClient"
      }
   },
   "version" : "0.05",
   "x_serialization_backend" : "Cpanel::JSON::XS version 3.0233"
}

META.yml  view on Meta::CPAN

  JSON: '0'
  MIME::Base64: '0'
  Moo: '0'
  Moo::Role: '0'
  MooX::Options: '0'
  Perl6::Form: '0'
  perl: '5.01'
  strict: '0'
  warnings: '0'
resources:
  homepage: https://github.com/mountaintom/AI-PredictionClient
  repository: https://github.com/mountaintom/AI-PredictionClient.git
version: '0.05'
x_serialization_backend: 'YAML::Tiny version 1.70'

lib/AI/PredictionClient.pm  view on Meta::CPAN

=head2 SETTING UP A TEST SERVER 

You can set up a server by following the instructions on the TensorFlow Serving site:

 https://www.tensorflow.org/deploy/tfserve
 https://tensorflow.github.io/serving/setup
 https://tensorflow.github.io/serving/docker

I have a prebuilt Docker container available here:

 docker pull mountaintom/tensorflow-serving-inception-docker-swarm-demo

This container has the Inception model already loaded and ready to go.

Start this container and run the following commands within it to get the server running:

 $ cd /serving
 $ bazel-bin/tensorflow_serving/model_servers/tensorflow_model_server --port=9000 --model_name=inception --model_base_path=inception-export &> inception_log &

A longer article on setting up a server is here:

lib/AI/PredictionClient/Docs/Overview.pod  view on Meta::CPAN

=head2 SETTING UP A TEST SERVER 

You can set up a server by following the instructions on the TensorFlow Serving site:

 https://www.tensorflow.org/deploy/tfserve
 https://tensorflow.github.io/serving/setup
 https://tensorflow.github.io/serving/docker

I have a prebuilt Docker container available here:

 docker pull mountaintom/tensorflow-serving-inception-docker-swarm-demo

This container has the Inception model already loaded and ready to go.

Start this container and run the following commands within it to get the server running:

 $ cd /serving
 $ bazel-bin/tensorflow_serving/model_servers/tensorflow_model_server --port=9000 --model_name=inception --model_base_path=inception-export &> inception_log &

A longer article on setting up a server is here: