TI中文支持网Part Number:SK-TDA4VM
你好，
运行编译好的yolov5s时会出现如下错误
libtidl_onnxrt_EP loaded 0x23ebc470Final number of subgraphs created are : 3, – Offloaded Nodes – 196, Total Nodes – 236APP: 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
请问是哪里出问题了？
Cherry Zhou：
您好，您的问题我们需要升级到英文论坛看下，链接如下：
https://e2e.ti.com/support/processors-group/processors/f/processors-forum/1242695/sk-tda4vm-model-deployment-error
,
Cherry Zhou：
请看以下答复：
能否确认您的电路板具有与网络编译期间使用的 SDK 版本相同的版本？
请分享下网络编译日志。
,
yong xuan：
7485.log.txt
libtidl_onnxrt_EP loaded 0x2d3cc470Final number of subgraphs created are : 3, - Offloaded Nodes - 196, Total Nodes - 236APP: 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:Enabled305.600855 s:VX_ZONE_ERROR:Enabled305.600857 s:VX_ZONE_WARNING:Enabled305.601366 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: -1305.618103 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 TIDLNode305.618110 s:VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core305.618113 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 kernel305.618117 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 failed305.618126 s:VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed TIDL_RT_OVX: ERROR: Verifying TIDL graph ... Failed !!! TIDL_RT_OVX: ERROR: Verify OpenVX graph failed305.740672 s:VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1305.740679 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 TIDLNode305.740686 s:VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core305.740689 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 kernel305.740693 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 failed305.740701 s:VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed TIDL_RT_OVX: ERROR: Verifying TIDL graph ... Failed !!! TIDL_RT_OVX: ERROR: Verify OpenVX graph failed305.761984 s:VX_ZONE_ERROR:[ownContextSendCmd:815] Command ack message returned failure cmd_status: -1305.761991 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 TIDLNode305.761997 s:VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core305.762000 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 kernel305.762004 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 failed305.762012 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: -1306.161775 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 TIDLNode306.161788 s:VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core306.161793 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 kernel306.161804 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 failed306.161822 s:VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed306.162070 s:VX_ZONE_ERROR:[ownGraphScheduleGraphWrapper:820] graph is not in a state required to be scheduled306.162075 s:VX_ZONE_ERROR:[vxProcessGraph:755] schedule graph failed306.162079 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: -1306.177931 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 TIDLNode306.177938 s:VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core306.177940 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 kernel306.177945 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 failed306.177953 s:VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed306.178068 s:VX_ZONE_ERROR:[ownGraphScheduleGraphWrapper:820] graph is not in a state required to be scheduled306.178074 s:VX_ZONE_ERROR:[vxProcessGraph:755] schedule graph failed306.178084 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: -1306.220408 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 TIDLNode306.220415 s:VX_ZONE_ERROR:[ownNodeKernelInit:539] Please be sure the target callbacks have been registered for this core306.220417 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 kernel306.220421 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 failed306.220430 s:VX_ZONE_ERROR:[vxVerifyGraph:2109] Graph verify failed306.220539 s:VX_ZONE_ERROR:[ownGraphScheduleGraphWrapper:820] graph is not in a state required to be scheduled306.220542 s:VX_ZONE_ERROR:[vxProcessGraph:755] schedule graph failed306.220544 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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+[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;1m181.26 ms[mfrom1samples |+--------------------------------------------------------------------------+这是运行后生成的log文件
,
yong xuan：
2526.log.txt
Available execution providers :['TIDLExecutionProvider', 'TIDLCompilationProvider', 'CPUExecutionProvider']Running 1 Models - ['besta']Running_Model :bestaRunning shape inference on model ../../../models/public/yolov5s.onnxPreliminary subgraphs created = 5Final 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:Enabled0.6s:VX_ZONE_ERROR:Enabled0.7s:VX_ZONE_WARNING:Enabled0.1533s: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 WARNINGS0 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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T9640.59.... ..... ... .... ..... #1 . .. T9591.98.... ..... ... .... ..... ~~~~~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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T7122.62.... ..... ... .... ..... #1 . .. T7123.85.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T7126.32.... ..... ... .... ..... #1 . .. T7126.64.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T7120.21.... ..... ... .... ..... #1 . .. T7150.90.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T7168.20.... ..... ... .... ..... #1 . .. T7163.76.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T7127.88.... ..... ... .... ..... #1 . .. T7137.15.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T6665.58.... ..... ... .... ..... #1 . .. T6647.75.... ..... ... .... ..... ~~~~~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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T3502.79.... ..... ... .... ..... #1 . .. T3493.17.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T3507.26.... ..... ... .... ..... #1 . .. T3513.30.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T3498.75.... ..... ... .... ..... #1 . .. T3507.60.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T3488.07.... ..... ... .... ..... #1 . .. T3495.94.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T3499.58.... ..... ... .... ..... #1 . .. T3488.70.... ..... ... .... .....*****************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 WARNINGS0 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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T64.20.... ..... ... .... ..... #1 . .. T56.35.... ..... ... .... ..... ~~~~~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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T68.55.... ..... ... .... ..... #1 . .. T64.69.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T68.72.... ..... ... .... ..... #1 . .. T64.46.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T70.52.... ..... ... .... ..... #1 . .. T64.40.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T68.99.... ..... ... .... ..... #1 . .. T64.80.... ..... ... .... .....*****************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.txtFreeing memory for user provided Net----------------------- TIDL Process with REF_ONLY FLOW ------------------------#0 . .. T68.09.... ..... ... .... ..... #1 . .. T64.64.... ..... ... .... .....*****************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.jpgMEM: Deinit ... !!! MEM: Alloc's: 89 alloc's of 1044781908 bytesMEM: Free's : 89 free'sof 1044781908 bytesMEM: Open's : 0 allocsof 0 bytesMEM: Deinit ... Done !!!这是编译时的log文件
,
Cherry Zhou：
好的收到了，
Cherry Zhou 说：能否确认您的电路板具有与网络编译期间使用的 SDK 版本相同的版本？
还得和您确认下，您在板上用的 SDK 版本是？以及您用于编译上述模型的 tidl-tools 的 SDK 版本是？
,
yong xuan：
请问哪个命令可以查看板子上及编译模型的 tidl-tools sdk版本，在哪里可以查看版本？
,
Cherry Zhou：
板子的SDK 版本应该是您在创建 Linux SDK 映像时使用的版本，您可以检查使用了哪个 SDK 映像版本进行闪存。
关于 tidl tools版本，您可以检查 tidl 工具 git hub repo 的标签，理想情况下，应该会针对您的SDK 版本使用特定的分支。
