without parallelization

scripts/keywordSpotting.dml

@@ -15,8 +15,8 @@ y_shuffled = Xy_shuffled[,num_col] # Labels, the last column
 [X_train, X_test, y_train, y_test] = split(X=X_shuffled, Y=y_shuffled, seed= 13)
 
 # Preprocess with fft Optionally move before split.
-[X_train_re, X_train_im] = stft(X_train, 256, 128)
-[X_test_re, X_test_im] = stft(X_test, 256, 128)
+[X_train_re, X_train_im] = stft(X_train, 4, 2)
+[X_test_re, X_test_im] = stft(X_test, 4, 2)
 
 
 X_train_re_sq = X_train_re^2
@@ -38,15 +38,15 @@ magnitudes_test = sqrt(sum_X_test_sq)
 bias = lm(X=magnitudes_train, y=y_train, reg=1e-1, maxi=10, verbose=TRUE)
 predictions = lmPredict(X=magnitudes_test, B=bias, verbose=FALSE)
 
-sign_predictions = sign(predictions)
-sign_Y = sign(y_test)
+#sign_predictions = sign(predictions)
+#sign_Y = sign(y_test)
 
-correct = sum(sign_predictions == sign_Y)
-total = nrow(y_test)
-accuracy = correct / total
+#correct = sum(sign_predictions == sign_Y)
+#total = nrow(y_test)
+#accuracy = correct / total
 
 #print(toString(predictions))
-print(toString(accuracy))
+#print(toString(accuracy))
 
 R = lmPredictStats(yhat=predictions, ytest=y_test, lm=TRUE)
 print(toString(R))

src/main/java/org/apache/sysds/runtime/matrix/data/LibMatrixSTFT.java

@@ -62,7 +62,7 @@ public static MatrixBlock[] stft(MatrixBlock re, MatrixBlock im, int windowSize,
 		double[] re_inter = new double[out_len];
 		double[] im_inter = new double[out_len];
 
-		ExecutorService pool = CommonThreadPool.get(1);
+		//ExecutorService pool = CommonThreadPool.get(1);
 
 		final ExecutorService pool = CommonThreadPool.get(threads);