paneesh@awsmblx404bs017:~/compute/middleware/ti-psdkra/tidl_j7/ti_dl/utils/tidlModelImport$ ./out/tidl_model_import.out /data/home/paneesh/compute/middleware/ti-psdkra/tidl_j7/ti_dl/test/testvecs/config/import/public/onnx/tidl_import_face_landmarks.txt ONNX Model (Proto) File : ../../test/testvecs/models/public/onnx/facelandmarks/pfld.onnx TIDL Network File : ../../test/testvecs/config/tidl_models/onnx/face_landmarks_net.bin TIDL IO Info File : ../../test/testvecs/config/tidl_models/onnx/tidl_io_face_landmarks__ Current ONNX OpSet Version : 9 Could not find const or initializer of layer Reshape_87 !!! Only float and INT64 tensor is suported Could not find const or initializer of layer Reshape_90 !!! Only float and INT64 tensor is suported Running tidl_optimizeNet Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. Warning : Merging Pad layer with Average Pooling layer. This is expected to work but this flow is functionally not validated with ONNX model format. printing Current net 0|TIDL_DataLayer | |input_1_original | 0| 0| 1|TIDL_BatchNormLayer |input_1_original |input_1 | 0| 1| 2|TIDL_ConvolutionLayer |input_1 |input.4 | 1| 2| 3|TIDL_ReLULayer |input.4 |onnx::Conv_264 | 2| 3| 4|TIDL_ConvolutionLayer |onnx::Conv_264 |input.12 | 3| 4| 5|TIDL_ReLULayer |input.12 |onnx::Conv_267 | 4| 5| 6|TIDL_ConvolutionLayer |onnx::Conv_267 |input.20 | 5| 6| 7|TIDL_ReLULayer |input.20 |onnx::Conv_270 | 6| 7| 8|TIDL_ConvolutionLayer |onnx::Conv_270 |input.28 | 7| 8| 9|TIDL_ReLULayer |input.28 |onnx::Conv_273 | 8| 9| 10|TIDL_ConvolutionLayer |onnx::Conv_273 |input.36 | 9| 10| 11|TIDL_ConvolutionLayer |input.36 |input.44 | 10| 11| 12|TIDL_ReLULayer |input.44 |onnx::Conv_278 | 11| 12| 13|TIDL_ConvolutionLayer |onnx::Conv_278 |input.52 | 12| 13| 14|TIDL_ReLULayer |input.52 |onnx::Conv_281 | 13| 14| 15|TIDL_ConvolutionLayer |onnx::Conv_281 |onnx::Add_431 | 14| 15| 16|TIDL_EltWiseLayer |input.36 |input.60 | 10| 16| 17|TIDL_ConvolutionLayer |input.60 |input.68 | 16| 17| 18|TIDL_ReLULayer |input.68 |onnx::Conv_287 | 17| 18| 19|TIDL_ConvolutionLayer |onnx::Conv_287 |input.76 | 18| 19| 20|TIDL_ReLULayer |input.76 |onnx::Conv_290 | 19| 20| 21|TIDL_ConvolutionLayer |onnx::Conv_290 |onnx::Add_440 | 20| 21| 22|TIDL_EltWiseLayer |input.60 |input.84 | 16| 22| 23|TIDL_ConvolutionLayer |input.84 |input.92 | 22| 23| 24|TIDL_ReLULayer |input.92 |onnx::Conv_296 | 23| 24| 25|TIDL_ConvolutionLayer |onnx::Conv_296 |input.100 | 24| 25| 26|TIDL_ReLULayer |input.100 |onnx::Conv_299 | 25| 26| 27|TIDL_ConvolutionLayer |onnx::Conv_299 |onnx::Add_449 | 26| 27| 28|TIDL_EltWiseLayer |input.84 |input.108 | 22| 28| 29|TIDL_ConvolutionLayer |input.108 |input.116 | 28| 29| 30|TIDL_ReLULayer |input.116 |onnx::Conv_305 | 29| 30| 31|TIDL_ConvolutionLayer |onnx::Conv_305 |input.124 | 30| 31| 32|TIDL_ReLULayer |input.124 |onnx::Conv_308 | 31| 32| 33|TIDL_ConvolutionLayer |onnx::Conv_308 |onnx::Add_458 | 32| 33| 34|TIDL_EltWiseLayer |input.108 |output_1 | 28| 34| 35|TIDL_ConvolutionLayer |output_1 |input.140 | 34| 35| 36|TIDL_ReLULayer |input.140 |onnx::Conv_314 | 35| 36| 37|TIDL_ConvolutionLayer |onnx::Conv_314 |input.148 | 36| 37| 38|TIDL_ReLULayer |input.148 |onnx::Conv_317 | 37| 38| 39|TIDL_ConvolutionLayer |onnx::Conv_317 |input.156 | 38| 39| 40|TIDL_ConvolutionLayer |input.156 |input.164 | 39| 40| 41|TIDL_ReLULayer |input.164 |onnx::Conv_322 | 40| 41| 42|TIDL_ConvolutionLayer |onnx::Conv_322 |input.172 | 41| 42| 43|TIDL_ReLULayer |input.172 |onnx::Conv_325 | 42| 43| 44|TIDL_ConvolutionLayer |onnx::Conv_325 |input.180 | 43| 44| 45|TIDL_ConvolutionLayer |input.180 |input.188 | 44| 45| 46|TIDL_ReLULayer |input.188 |onnx::Conv_330 | 45| 46| 47|TIDL_ConvolutionLayer |onnx::Conv_330 |input.196 | 46| 47| 48|TIDL_ReLULayer |input.196 |onnx::Conv_333 | 47| 48| 49|TIDL_ConvolutionLayer |onnx::Conv_333 |onnx::Add_485 | 48| 49| 50|TIDL_EltWiseLayer |input.180 |input.204 | 44| 50| 51|TIDL_ConvolutionLayer |input.204 |input.212 | 50| 51| 52|TIDL_ReLULayer |input.212 |onnx::Conv_339 | 51| 52| 53|TIDL_ConvolutionLayer |onnx::Conv_339 |input.220 | 52| 53| 54|TIDL_ReLULayer |input.220 |onnx::Conv_342 | 53| 54| 55|TIDL_ConvolutionLayer |onnx::Conv_342 |onnx::Add_494 | 54| 55| 56|TIDL_EltWiseLayer |input.204 |input.228 | 50| 56| 57|TIDL_ConvolutionLayer |input.228 |input.236 | 56| 57| 58|TIDL_ReLULayer |input.236 |onnx::Conv_348 | 57| 58| 59|TIDL_ConvolutionLayer |onnx::Conv_348 |input.244 | 58| 59| 60|TIDL_ReLULayer |input.244 |onnx::Conv_351 | 59| 60| 61|TIDL_ConvolutionLayer |onnx::Conv_351 |onnx::Add_503 | 60| 61| 62|TIDL_EltWiseLayer |input.228 |input.252 | 56| 62| 63|TIDL_ConvolutionLayer |input.252 |input.260 | 62| 63| 64|TIDL_ReLULayer |input.260 |onnx::Conv_357 | 63| 64| 65|TIDL_ConvolutionLayer |onnx::Conv_357 |input.268 | 64| 65| 66|TIDL_ReLULayer |input.268 |onnx::Conv_360 | 65| 66| 67|TIDL_ConvolutionLayer |onnx::Conv_360 |onnx::Add_512 | 66| 67| 68|TIDL_EltWiseLayer |input.252 |input.276 | 62| 68| 69|TIDL_ConvolutionLayer |input.276 |input.284 | 68| 69| 70|TIDL_ReLULayer |input.284 |onnx::Conv_366 | 69| 70| 71|TIDL_ConvolutionLayer |onnx::Conv_366 |input.292 | 70| 71| 72|TIDL_ReLULayer |input.292 |onnx::Conv_369 | 71| 72| 73|TIDL_ConvolutionLayer |onnx::Conv_369 |onnx::Add_521 | 72| 73| 74|TIDL_EltWiseLayer |input.276 |input.300 | 68| 74| 75|TIDL_ConvolutionLayer |input.300 |input.308 | 74| 75| 76|TIDL_ReLULayer |input.308 |onnx::Conv_375 | 75| 76| 77|TIDL_ConvolutionLayer |onnx::Conv_375 |input.316 | 76| 77| 78|TIDL_ReLULayer |input.316 |onnx::Conv_378 | 77| 78| 79|TIDL_ConvolutionLayer |onnx::Conv_378 |input.324 | 78| 79| 80|TIDL_ConvolutionLayer |input.324 |input.332 | 79| 80| 81|TIDL_ReLULayer |input.332 |onnx::Pad_391 | 80| 81| 82|TIDL_PoolingLayer |input.324 |onnx::Reshape_382 | 79| 82| 83|TIDL_ConvolutionLayer |onnx::Pad_391 |input.336 | 81| 83| 84|TIDL_ReshapeLayer |onnx::Reshape_382 |onnx::Concat_388 | 82| 84| 85|TIDL_PoolingLayer |onnx::Pad_391 |onnx::Reshape_393 | 81| 85| 86|TIDL_ReLULayer |input.336 |onnx::Reshape_401 | 83| 86| 87|TIDL_ReshapeLayer |onnx::Reshape_393 |onnx::Concat_399 | 85| 87| 88|TIDL_ReshapeLayer |onnx::Reshape_401 |onnx::Concat_407 | 86| 88| 89|TIDL_ConcatLayer |onnx::Concat_388 |onnx::Gemm_408 | 84| 89| 90|TIDL_InnerProductLayer |onnx::Gemm_408 |409 | 89| 90| 91|TIDL_DataLayer |409 |409 | 90| 0| WARNING: Inner Product Layer Gemm_92's coeff cannot be found(or not match) in coef file, Random coeff will be generated! Only for evaluation usage! Results are all random! WARNING: Inner Product Layer Gemm_92's coeff cannot be found(or not match) in coef file, Random coeff will be generated! Only for evaluation usage! Results are all random! In put of TIDL_InnerProductLayer layer needs to be Faltten. Please add Flatten layer to import this mdoels paneesh@awsmblx404bs017:~/compute/middleware/ti-psdkra/tidl_j7/ti_dl/utils/tidlModelImport$