test@pcz-mmalab-5:/u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mtest@pcz-mmalab-5:/u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mtetest@pcz-mmalab-5:/u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mma-tidl/tidl_tools$ ./tidl_model_import.out /u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mma-tidl/ti_dl/test/testvecs/config/import/public/pnet/tidl_import_onnx.txt
========================= [Model Compilation Started] =========================

Model compilation will perform the following stages:
1. Parsing
2. Graph Optimization
3. Quantization & Calibration
4. Memory Planning

============================== [Version Summary] ==============================

-------------------------------------------------------------------------------
|          TIDL Tools Version          |              11_00_06_00             |
-------------------------------------------------------------------------------
|         C7x Firmware Version         |              11_00_00_00             |
-------------------------------------------------------------------------------

ONNX model (Proto) file      : /u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mma-tidl/ti_dl/test/testvecs/models/public/pnet/pnet.onnx  
TIDL network file            : /u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mma-tidl/ti_dl/test/testvecs/config/import/public/pnet/tidl_net_pnet.bin  
TIDL IO info file            : /u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mma-tidl/ti_dl/test/testvecs/config/import/public/pnet/tidl_io_pnet_  
Current ONNX OpSet version   : 13  
[TIDL Import]  WARNING: Cannot read dims for variable input of Add/Mul operator, shape inference should be done on the model. Assuming 1D const input is channel broadcast, operator maps to BatchNorm layer
[TIDL Import]  WARNING: Cannot read dims for variable input of Add/Mul operator, shape inference should be done on the model. Assuming 1D const input is channel broadcast, operator maps to BatchNorm layer
[TIDL Import]  WARNING: Cannot read dims for variable input of Add/Mul operator, shape inference should be done on the model. Assuming 1D const input is channel broadcast, operator maps to BatchNorm layer
============================ [Optimization started] ============================

[TIDL Import] [PARSER] WARNING: Cannot read dims for variable input of Add/Mul operator, shape inference should be done on the model. Assuming 1D const input is channel broadcast, operator maps to BatchNorm layer
[TIDL Import] [PARSER] WARNING: Cannot read dims for variable input of Add/Mul operator, shape inference should be done on the model. Assuming 1D const input is channel broadcast, operator maps to BatchNorm layer
[TIDL Import] [PARSER] WARNING: Cannot read dims for variable input of Add/Mul operator, shape inference should be done on the model. Assuming 1D const input is channel broadcast, operator maps to BatchNorm layer
[TIDL Import] [PARSER] WARNING: Conv Layer p_net/conv1/BiasAdd's coeff cannot be found(or not match) in coeff file, Random coeff will be generated! Only for evaluation usage! Results are all random!
----------------------------- Optimization Summary -----------------------------
--------------------------------------------------------------------------------
|         Layer         | Nodes before optimization | Nodes after optimization |
--------------------------------------------------------------------------------
| TIDL_BatchNormLayer   |                         0 |                       13 |
| TIDL_NegLayer         |                         3 |                        0 |
| TIDL_ReLULayer        |                         6 |                        0 |
| TIDL_EltWiseLayer     |                         6 |                        3 |
| TIDL_ConvolutionLayer |                         5 |                        5 |
| TIDL_TransposeLayer   |                         3 |                        3 |
| TIDL_PoolingLayer     |                         1 |                        1 |
--------------------------------------------------------------------------------

Total nodes in subgraph: 28

=========================== [Optimization completed] ===========================

Couldn't open tidlStatsTool file: /u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mma-tidl/tidl_tools/PC_dsp_test_dl_algo.out
------------------ Fixed-point Calibration Iteration [1 / 1]: ------------------
Couldn't open tidlStatsTool file: /u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mma-tidl/tidl_tools/PC_dsp_test_dl_algo.out
==================== [Quantization & Calibration Completed] ====================

[TIDL Import] [PARSER] UNSUPPORTED: All the tensor dimensions has to be greater then zero. For tensor p_net/pool1/MaxPool:0, id 9 - Dim 4 is 0 -- [tidl_import_common_model_check.cpp, 2324]
[TIDL Import] [PARSER] WARNING: 
********************************************************************
*     Network compiler returned with error or didn't executed      *
*      This model can only be used on PC/Host emulation mode       *
*            It is not expected to work on target/EVM              *
********************************************************************

======================== Subgraph Compiled Successfully ========================


test@pcz-mmalab-5:/u/new_sdk/RTOS/ti-processor-sdk-rtos-j721e-evm-11_00_00_06/c7x-mma-tidl/tidl_tools$