| 
														
															@@ -27,8 +27,8 @@ public class DNNModel implements Model { 
														 | 
													
												
											
												
													
														| 
														 | 
														
															         String inNames = predictor.getInputNameById(0); 
														 | 
														
														 | 
														
															         String inNames = predictor.getInputNameById(0); 
														 | 
													
												
											
												
													
														| 
														 | 
														
															         Tensor inHandle = predictor.getInputHandle(inNames); 
														 | 
														
														 | 
														
															         Tensor inHandle = predictor.getInputHandle(inNames); 
														 | 
													
												
											
												
													
														| 
														 | 
														
															         log.info("predictor2 inNames={}", inNames); 
														 | 
														
														 | 
														
															         log.info("predictor2 inNames={}", inNames); 
														 | 
													
												
											
												
													
														| 
														 | 
														
															-        inHandle.reshape(4, new int[]{1, 3, 224, 224}); 
														 | 
														
														 | 
														
															 
														 | 
													
												
											
												
													
														| 
														 | 
														
															-        float[] inData = new float[39]; 
														 | 
														
														 | 
														
															 
														 | 
													
												
											
												
													
														| 
														 | 
														
															 
														 | 
														
														 | 
														
															+        inHandle.reshape(2, new int[]{1, 1}); 
														 | 
													
												
											
												
													
														| 
														 | 
														
															 
														 | 
														
														 | 
														
															+        float[] inData = new float[1 * 1]; 
														 | 
													
												
											
												
													
														| 
														 | 
														
															         inHandle.copyFromCpu(inData); 
														 | 
														
														 | 
														
															         inHandle.copyFromCpu(inData); 
														 | 
													
												
											
												
													
														| 
														 | 
														
															         predictor.run(); 
														 | 
														
														 | 
														
															         predictor.run(); 
														 | 
													
												
											
												
													
														| 
														 | 
														
															  
														 | 
														
														 | 
														
															  
														 |