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* #8160 Remove resolvePrepertiesFromSameDiffBeforeExecution Signed-off-by: AlexDBlack <blacka101@gmail.com> * SameDiff API cleanup Signed-off-by: AlexDBlack <blacka101@gmail.com> * More SameDiff cleanup Signed-off-by: AlexDBlack <blacka101@gmail.com> * Small fixes Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8248 Switch SameDiff variable init from lazy to creation time for more predictable behaviour Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8252 TanhDerivative javadoc Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8225 Deconvolution2D input validation Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8265 Switch SameDiff.outputs() to user settable, instead of unreliable 'best guess' Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8224 SameDiff.zero and .one create constants, not variables Signed-off-by: AlexDBlack <blacka101@gmail.com> * More cleanup and fixes Signed-off-by: AlexDBlack <blacka101@gmail.com> * Small test fix Signed-off-by: AlexDBlack <blacka101@gmail.com> * Small fix Signed-off-by: AlexDBlack <blacka101@gmail.com> * DL4J SameDiff fixes Signed-off-by: AlexDBlack <blacka101@gmail.com> * Re-add hack for Deconvolution2DLayer until #8315 is resolved Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8270 Move CUDA device/version logging to Java; can be disabled via existing org.nd4j.log.initialization system property Signed-off-by: AlexDBlack <blacka101@gmail.com> * All ND4J init logging checks system property Signed-off-by: AlexDBlack <blacka101@gmail.com> * Small tweak Signed-off-by: AlexDBlack <blacka101@gmail.com> * Remove redundant device logging Signed-off-by: AlexDBlack <blacka101@gmail.com> * One more fix Signed-off-by: AlexDBlack <blacka101@gmail.com> * UX improvements Signed-off-by: AlexDBlack <blacka101@gmail.com> * Deconv fix Signed-off-by: AlexDBlack <blacka101@gmail.com> * Add deconv tests Signed-off-by: AlexDBlack <blacka101@gmail.com> * Cleanup Signed-off-by: AlexDBlack <blacka101@gmail.com> * Remove debug code Signed-off-by: AlexDBlack <blacka101@gmail.com> |
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src | ||
README.md | ||
pom.xml |
README.md
SameDiff model serving
This modules provides JSON-based serving of SameDiff models
Example
First of all we'll create server instance. Most probably you'll do it in application that will be running in container
val server = SameDiffJsonModelServer.<String, Sentiment>builder()
.adapter(new StringToSentimentAdapter())
.model(mySameDiffModel)
.port(8080)
.serializer(new SentimentSerializer())
.deserializer(new StringDeserializer())
.build();
server.start();
server.join();
Now, presumably in some other container, we'll set up remote inference client:
val client = JsonRemoteInference.<String, Sentiment>builder()
.endpointAddress("http://youraddress:8080/v1/serving")
.serializer(new StringSerializer())
.deserializer(new SentimentDeserializer())
.build();
Sentiment result = client.predict(myText);
On top of that, there's async call available, for cases when you need to chain multiple requests to one or multiple remote model servers.
Future<Sentiment> result = client.predictAsync(myText);