dnn test

recommend-model-service/src/main/java/com/tzld/piaoquan/recommend/model/service/model/DNNModel.java

@@ -26,9 +26,7 @@ public class DNNModel implements Model {
         Predictor predictor = Predictor.clonePaddlePredictor(sourcePredictor);
         String inNames = predictor.getInputNameById(0);
         Tensor inHandle = predictor.getInputHandle(inNames);
-
-        //inHandle.reshape(39, new int[]{});
-
+        log.info("predictor2 inNames={}", inNames);
         float[] inData = new float[39];
         inHandle.copyFromCpu(inData);
         predictor.run();
@@ -38,7 +36,7 @@ public class DNNModel implements Model {
         float[] outData = new float[outHandle.getSize()];
         outHandle.copyToCpu(outData);
         long time2 = System.currentTimeMillis();
-        log.info("predictor2 inNames={},outNames={},outData[0]={},outDataLen={},cost={}", inNames, outNames,outData[0],
+        log.info("predictor2 inNames={},outNames={},outData[0]={},outDataLen={},cost={}", inNames, outNames, outData[0],
                 outData.length,
                 (time2 - time1));