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				@@ -34,8 +34,8 @@ public class DNNModel implements Model { 
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				             log.info("predictor2 outName{}={}", i, predictor.getOutputNameById(i)); 
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				         } 
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				-        inHandle.reshape(2, new int[]{1, 1}); 
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				-        float[] inData = new float[1 * 1]; 
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				+        inHandle.reshape(2, new int[]{1, 158}); 
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				+        float[] inData = new float[1 * 158]; 
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				         inHandle.copyFromCpu(inData); 
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				         predictor.run(); 
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