测试只保留大数据推送，服务器内存使用情况

algorithm/src/main/java/org/algorithm/core/neural/TensorflowModel.java

@@ -101,13 +101,6 @@ public class TensorflowModel {
      * @return 模型的输出
      */
     private float[][] run(float[] inputValues, Map<String, int[]> sequenceValues, int numExamples) {
-
-
-        long[] inputShape = {numExamples, this.NUM_FEATURE};
-        Tensor<Float> inputTensor = Tensor.create(
-                inputShape,
-                FloatBuffer.wrap(inputValues)
-        );
         float[][] f  = new float[numExamples][NUM_LABEL];
         for (int i = 0; i < numExamples; i++) {
             for (int j = 0; j < NUM_LABEL; j++) {
@@ -115,6 +108,13 @@ public class TensorflowModel {
             }
         }
         return f;
+
+//        long[] inputShape = {numExamples, this.NUM_FEATURE};
+//        Tensor<Float> inputTensor = Tensor.create(
+//                inputShape,
+//                FloatBuffer.wrap(inputValues)
+//        );
+
 //        // 序列数据
 //        if (this.withSequenceInputs){
 //            Map<String, Tensor<Integer>> sequenceTensorMap = this.wrapSequenceInputs(sequenceValues, numExamples);