SK-TDA4VM: Model deployment error

Cherry Zhou

Part Number: SK-TDA4VM

Hi team,

When running compiled yolov5s, the following error occurs:

libtidl_onnxrt_EP loaded 0x23ebc470
Final number of subgraphs created are : 3, - Offloaded Nodes - 196, Total Nodes - 236
APP: Init ... !!!
MEM: Init ... !!!
MEM: Initialized DMA HEAP (fd=4) !!!
MEM: Init ... Done !!!
IPC: Init ... !!!
IPC: Init ... Done !!!
REMOTE_SERVICE: Init ... !!!
REMOTE_SERVICE: Init ... Done !!!
165.858162 s: GTC Frequency = 200 MHz
APP: Init ... Done !!!
165.858182 s: VX_ZONE_INIT:Enabled
165.858185 s: VX_ZONE_ERROR:Enabled
165.858187 s: VX_ZONE_WARNING:Enabled
165.858780 s: VX_ZONE_INIT:[tivxInitLocal:130] Initialization Done !!!
165.859005 s: VX_ZONE_INIT:[tivxHostInitLocal:86] Initialization Done for HOST !!!
165.875596 s: VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1
165.875603 s: VX_ZONE_ERROR:[ownContextSendCmd:851] tivxEventWait() failed.
165.875608 s: VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node TIDLNode
165.875611 s: VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core
165.875614 s: VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel
165.875618 s: VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.tidl ... failed !!!
165.875625 s: VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed
165.875627 s: VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
TIDL_RT_OVX: ERROR: Verifying TIDL graph ... Failed !!!
TIDL_RT_OVX: ERROR: Verify OpenVX graph failed
165.998258 s: VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1
165.998265 s: VX_ZONE_ERROR:[ownContextSendCmd:851] tivxEventWait() failed.
165.998268 s: VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node TIDLNode
165.998272 s: VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core
165.998274 s: VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel
165.998279 s: VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.tidl ... failed !!!
165.998284 s: VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed
165.998287 s: VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
TIDL_RT_OVX: ERROR: Verifying TIDL graph ... Failed !!!
TIDL_RT_OVX: ERROR: Verify OpenVX graph failed
166.019533 s: VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1
166.019540 s: VX_ZONE_ERROR:[ownContextSendCmd:851] tivxEventWait() failed.
166.019544 s: VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node TIDLNode
166.019546 s: VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core
166.019549 s: VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel
166.019552 s: VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.tidl ... failed !!!
166.019557 s: VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed
166.019559 s: VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
TIDL_RT_OVX: ERROR: Verifying TIDL graph ... Failed !!!
TIDL_RT_OVX: ERROR: Verify OpenVX graph failed

Could you help check this case? Thanks.

Best Regards,

Cherry

over 2 years ago

0 Pratik Kedar over 2 years ago

TI__Mastermind 24041 points

Hi,

Can you confirm your board has same sdk version that you have used during network compilation ?

Also can you share your network compilation logs as well ?

Pratik

0 Cherry Zhou over 2 years ago in reply to Pratik Kedar

TI__Mastermind 22235 points

Hi Pratik,

Thank you for the support.

The log file generated after the run is as follows:

libtidl_onnxrt_EP loaded 0x2d3cc470 
Final number of subgraphs created are : 3, - Offloaded Nodes - 196, Total Nodes - 236 
APP: Init ... !!!
MEM: Init ... !!!
MEM: Initialized DMA HEAP (fd=4) !!!
MEM: Init ... Done !!!
IPC: Init ... !!!
IPC: Init ... Done !!!
REMOTE_SERVICE: Init ... !!!
REMOTE_SERVICE: Init ... Done !!!
   305.600825 s: GTC Frequency = 200 MHz
APP: Init ... Done !!!
   305.600852 s:  VX_ZONE_INIT:Enabled
   305.600855 s:  VX_ZONE_ERROR:Enabled
   305.600857 s:  VX_ZONE_WARNING:Enabled
   305.601366 s:  VX_ZONE_INIT:[tivxInitLocal:130] Initialization Done !!!
   305.601658 s:  VX_ZONE_INIT:[tivxHostInitLocal:86] Initialization Done for HOST !!!
   305.618095 s:  VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1
   305.618103 s:  VX_ZONE_ERROR:[ownContextSendCmd:851] tivxEventWait() failed.
   305.618108 s:  VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node TIDLNode
   305.618110 s:  VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core
   305.618113 s:  VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel
   305.618117 s:  VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.tidl ... failed !!!
   305.618123 s:  VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed
   305.618126 s:  VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
TIDL_RT_OVX: ERROR: Verifying TIDL graph ... Failed !!!
TIDL_RT_OVX: ERROR: Verify OpenVX graph failed
   305.740672 s:  VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1
   305.740679 s:  VX_ZONE_ERROR:[ownContextSendCmd:851] tivxEventWait() failed.
   305.740683 s:  VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node TIDLNode
   305.740686 s:  VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core
   305.740689 s:  VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel
   305.740693 s:  VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.tidl ... failed !!!
   305.740698 s:  VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed
   305.740701 s:  VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
TIDL_RT_OVX: ERROR: Verifying TIDL graph ... Failed !!!
TIDL_RT_OVX: ERROR: Verify OpenVX graph failed
   305.761984 s:  VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1
   305.761991 s:  VX_ZONE_ERROR:[ownContextSendCmd:851] tivxEventWait() failed.
   305.761994 s:  VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node TIDLNode
   305.761997 s:  VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core
   305.762000 s:  VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel
   305.762004 s:  VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.tidl ... failed !!!
   305.762009 s:  VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed
   305.762012 s:  VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
TIDL_RT_OVX: ERROR: Verifying TIDL graph ... Failed !!!
TIDL_RT_OVX: ERROR: Verify OpenVX graph failed
)0[1;67r[m[4l[?7h[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+   306.161757 s:  VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1
   306.161775 s:  VX_ZONE_ERROR:[ownContextSendCmd:851] tivxEventWait() failed.
   306.161783 s:  VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node TIDLNode
   306.161788 s:  VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core
   306.161793 s:  VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel
   306.161804 s:  VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.tidl ... failed !!!
   306.161817 s:  VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed
   306.161822 s:  VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
   306.162070 s:  VX_ZONE_ERROR:[ownGraphScheduleGraphWrapper:820] graph is not in a state required to be scheduled
   306.162075 s:  VX_ZONE_ERROR:[vxProcessGraph:755] schedule graph failed
   306.162079 s:  VX_ZONE_ERROR:[vxProcessGraph:760] wait graph failed
ERROR: Running TIDL graph ... Failed !!!
   306.177924 s:  VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1
   306.177931 s:  VX_ZONE_ERROR:[ownContextSendCmd:851] tivxEventWait() failed.
   306.177935 s:  VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node TIDLNode
   306.177938 s:  VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core
   306.177940 s:  VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel
   306.177945 s:  VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.tidl ... failed !!!
   306.177951 s:  VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed
   306.177953 s:  VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
   306.178068 s:  VX_ZONE_ERROR:[ownGraphScheduleGraphWrapper:820] graph is not in a state required to be scheduled
   306.178074 s:  VX_ZONE_ERROR:[vxProcessGraph:755] schedule graph failed
   306.178084 s:  VX_ZONE_ERROR:[vxProcessGraph:760] wait graph failed
ERROR: Running TIDL graph ... Failed !!!
   306.220401 s:  VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1
   306.220408 s:  VX_ZONE_ERROR:[ownContextSendCmd:851] tivxEventWait() failed.
   306.220411 s:  VX_ZONE_ERROR:[ownNodeKernelInit:538] Target kernel, TIVX_CMD_NODE_CREATE failed for node TIDLNode
   306.220415 s:  VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core
   306.220417 s:  VX_ZONE_ERROR:[ownNodeKernelInit:540] If the target callbacks have been registered, please ensure no errors are occurring within the create callback of this kernel
   306.220421 s:  VX_ZONE_ERROR:[ownGraphNodeKernelInit:583] kernel init for node 0, kernel com.ti.tidl ... failed !!!
   306.220427 s:  VX_ZONE_ERROR:[vxVerifyGraph:2055] Node kernel init failed
   306.220430 s:  VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed
   306.220539 s:  VX_ZONE_ERROR:[ownGraphScheduleGraphWrapper:820] graph is not in a state required to be scheduled
   306.220542 s:  VX_ZONE_ERROR:[vxProcessGraph:755] schedule graph failed
   306.220544 s:  VX_ZONE_ERROR:[vxProcessGraph:760] wait graph failed
ERROR: Running TIDL graph ... Failed !!!
[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+[H[J
 +--------------------------------------------------------------------------+
 | Lane Detection[3;77H|
 +--------------------------------------------------------------------------+
 +--------------------------------------------------------------------------+
 | Input Src: /opt/edge_ai_apps/data/videos/video_0000_h264.mp4[6;77H|
 | Model Name: yolov5s[7;77H|
 | Model Type: detection[8;77H|
 +--------------------------------------------------------------------------+
 | dl-inference[10;37H:     [0;10;1m  181.26 ms[m   from   1    samples |
 +--------------------------------------------------------------------------+

The compiling log file is as follows:

Available execution providers :  ['TIDLExecutionProvider', 'TIDLCompilationProvider', 'CPUExecutionProvider']

Running 1 Models - ['besta']


Running_Model :  besta  


Running shape inference on model ../../../models/public/yolov5s.onnx 


Preliminary subgraphs created = 5 
Final number of subgraphs created are : 3, - Offloaded Nodes - 196, Total Nodes - 236 
/home/leo/code/edgeai-tidl-tools-master/examples/osrt_python/ort/tidl_tools/tidl_graphVisualiser_runtimes.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory

 ************** Frame index 1 : Running float import ************* 
/home/leo/code/edgeai-tidl-tools-master/examples/osrt_python/ort/tidl_tools/tidl_graphVisualiser.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
****************************************************
**                ALL MODEL CHECK PASSED          **
****************************************************

The soft limit is 2048
The hard limit is 2048
MEM: Init ... !!!
MEM: Init ... Done !!!
 0.0s:  VX_ZONE_INIT:Enabled
 0.6s:  VX_ZONE_ERROR:Enabled
 0.7s:  VX_ZONE_WARNING:Enabled
 0.1533s:  VX_ZONE_INIT:[tivxInit:184] Initialization Done !!!

**********  Frame Index 1 : Running float inference **********

 ************** Frame index 1 : Running float import ************* 
/home/leo/code/edgeai-tidl-tools-master/examples/osrt_python/ort/tidl_tools/tidl_graphVisualiser.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
INFORMATION: [TIDL_ResizeLayer] Resize_118 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize.
INFORMATION: [TIDL_ResizeLayer] Resize_140 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize.
****************************************************
**          2 WARNINGS          0 ERRORS          **
****************************************************

**********  Frame Index 1 : Running float inference **********

 ************** Frame index 1 : Running float import ************* 
/home/leo/code/edgeai-tidl-tools-master/examples/osrt_python/ort/tidl_tools/tidl_graphVisualiser.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
****************************************************
**                ALL MODEL CHECK PASSED          **
****************************************************


**********  Frame Index 1 : Running float inference **********

**********  Frame Index 2 : Running fixed point mode for calibration **********

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/228_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    9640.59  .... ..... ... .... .....
#    1 . .. T    9591.98  .... ..... ... .... .....
~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/228_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    7122.62  .... ..... ... .... .....
#    1 . .. T    7123.85  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 0 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/228_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    7126.32  .... ..... ... .... .....
#    1 . .. T    7126.64  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 1 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/228_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    7120.21  .... ..... ... .... .....
#    1 . .. T    7150.90  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 2 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/228_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    7168.20  .... ..... ... .... .....
#    1 . .. T    7163.76  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 3 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/228_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    7127.88  .... ..... ... .... .....
#    1 . .. T    7137.15  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 4 completed ************************ 
 
 
 

------------------ Network Compiler Traces -----------------------------
NC running for device: 1
Running with OTF buffer optimizations
successful Memory allocation
/home/leo/code/edgeai-tidl-tools-master/examples/osrt_python/ort/tidl_tools/tidl_graphVisualiser.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
****************************************************
**                ALL MODEL CHECK PASSED          **
****************************************************


**********  Frame Index 2 : Running fixed point mode for calibration **********

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/326365404_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    6665.58  .... ..... ... .... .....
#    1 . .. T    6647.75  .... ..... ... .... .....
~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/326365404_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    3502.79  .... ..... ... .... .....
#    1 . .. T    3493.17  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 0 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/326365404_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    3507.26  .... ..... ... .... .....
#    1 . .. T    3513.30  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 1 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/326365404_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    3498.75  .... ..... ... .... .....
#    1 . .. T    3507.60  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 2 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/326365404_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    3488.07  .... ..... ... .... .....
#    1 . .. T    3495.94  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 3 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/326365404_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T    3499.58  .... ..... ... .... .....
#    1 . .. T    3488.70  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 4 completed ************************ 
 
 
 

------------------ Network Compiler Traces -----------------------------
NC running for device: 1
Running with OTF buffer optimizations
successful Memory allocation
/home/leo/code/edgeai-tidl-tools-master/examples/osrt_python/ort/tidl_tools/tidl_graphVisualiser.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
INFORMATION: [TIDL_ResizeLayer] Resize_118 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize.
INFORMATION: [TIDL_ResizeLayer] Resize_140 Any resize ratio which is power of 2 and greater than 4 will be placed by combination of 4x4 resize layer and 2x2 resize layer. For example a 8x8 resize will be replaced by 4x4 resize followed by 2x2 resize.
****************************************************
**          2 WARNINGS          0 ERRORS          **
****************************************************

**********  Frame Index 2 : Running fixed point mode for calibration **********

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/output0_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T      64.20  .... ..... ... .... .....
#    1 . .. T      56.35  .... ..... ... .... .....
~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/output0_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T      68.55  .... ..... ... .... .....
#    1 . .. T      64.69  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 0 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/output0_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T      68.72  .... ..... ... .... .....
#    1 . .. T      64.46  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 1 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/output0_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T      70.52  .... ..... ... .... .....
#    1 . .. T      64.40  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 2 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/output0_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T      68.99  .... ..... ... .... .....
#    1 . .. T      64.80  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 3 completed ************************ 
 
 
 

~~~~~Running TIDL in PC emulation mode to collect Activations range for each layer~~~~~

Processing config file #0 : /home/leo/code/edgeai-tidl-tools-master/model-artifacts/besta/tempDir/output0_tidl_io_.qunat_stats_config.txt 
 Freeing memory for user provided Net
 ----------------------- TIDL Process with REF_ONLY FLOW ------------------------

#    0 . .. T      68.09  .... ..... ... .... .....
#    1 . .. T      64.64  .... ..... ... .... .....
 
 
 *****************   Calibration iteration number 4 completed ************************ 
 
 
 

------------------ Network Compiler Traces -----------------------------
NC running for device: 1
Running with OTF buffer optimizations
successful Memory allocation
/home/leo/code/edgeai-tidl-tools-master/examples/osrt_python/ort/tidl_tools/tidl_graphVisualiser.out: error while loading shared libraries: libcgraph.so.6: cannot open shared object file: No such file or directory
****************************************************
**                ALL MODEL CHECK PASSED          **
****************************************************


 
Completed_Model :     1, Name : besta                                             , Total time :   89329.31, Offload Time :    9685.48 , DDR RW MBs : 0, Output File : py_out_besta_2.jpg 
 
 
MEM: Deinit ... !!!
MEM: Alloc's: 89 alloc's of 1044781908 bytes 
MEM: Free's : 89 free's  of 1044781908 bytes 
MEM: Open's : 0 allocs  of 0 bytes 
MEM: Deinit ... Done !!!

Thanks and regards,

Cherry

0 Pratik Kedar over 2 years ago in reply to Cherry Zhou

TI__Mastermind 24041 points

Thanks for sharing compilation logs.

Pratik Kedar said:
Can you confirm your board has same sdk version that you have used during network compilation ?

Which SDK version you have on the board and which sdk version you have used for tidl-tools for the compilation of above model ?

Regards,

Pratik

0 Cherry Zhou over 2 years ago in reply to Pratik Kedar

TI__Mastermind 22235 points

Hi Pratik,

Thank you but the customer don't know how to check the SDK version, could you help give some guidance?

Thanks and regards,

Cherry

0 Pratik Kedar over 2 years ago in reply to Cherry Zhou

TI__Mastermind 24041 points

Hi,

The board SDK version can should one which customers used at the time of creating linux sdk image, you can check which sdk image version was used for flashing.

Regarding tidl tools version, you can check tag of tidl tools git hub repo, ideally customer should be using specific branch for their sdk version.

Pratik

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