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83 lines
2.0 KiB
Protocol Buffer
83 lines
2.0 KiB
Protocol Buffer
// Input used in serving APIs. Based on the tensorflow.Example family of
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// feature representations.
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syntax = "proto3";
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option cc_enable_arenas = true;
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import "tensorflow/core/example/example.proto";
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package tensorflow.serving;
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// Specifies one or more fully independent input Examples.
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// See examples at:
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// https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/example/example.proto
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message ExampleList {
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repeated tensorflow.Example examples = 1;
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}
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// Specifies one or more independent input Examples, with a common context
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// Example.
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//
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// The common use case for context is to cleanly and optimally specify some
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// features that are common across multiple examples.
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//
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// See example below with a search query as the context and multiple restaurants
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// to perform some inference on.
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//
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// context: {
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// features: {
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// feature: {
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// key : "query"
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// value: {
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// bytes_list: {
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// value: [ "pizza" ]
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// }
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// }
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// }
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// }
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// }
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// examples: {
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// features: {
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// feature: {
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// key : "cuisine"
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// value: {
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// bytes_list: {
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// value: [ "Pizzeria" ]
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// }
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// }
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// }
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// }
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// }
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// examples: {
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// features: {
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// feature: {
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// key : "cuisine"
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// value: {
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// bytes_list: {
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// value: [ "Taqueria" ]
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// }
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// }
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// }
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// }
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// }
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//
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// Implementations of ExampleListWithContext merge the context Example into each
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// of the Examples. Note that feature keys must not be duplicated between the
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// Examples and context Example, or the behavior is undefined.
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//
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// See also:
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// tensorflow/core/example/example.proto
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// https://developers.google.com/protocol-buffers/docs/proto3#maps
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message ExampleListWithContext {
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repeated tensorflow.Example examples = 1;
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tensorflow.Example context = 2;
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}
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message Input {
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oneof kind {
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ExampleList example_list = 1 [lazy = true];
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ExampleListWithContext example_list_with_context = 2 [lazy = true];
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}
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}
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