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Original question:
I am using the J784S4XEVM running the vision apps demo deep learning models (object detection, etc.). When I use a custom model it works with 2 camers but when I use more than 3 cameras i receive the following memory error during graph creation, only one core seems to be utilized.
What is the proper way to increase memory for C7x1 core in vision apps psdk v09?
[C7x_1 ] 26259.817745 s: VX_ZONE_ERROR:[tivxAlgiVisionAllocMem:194] Failed to Allocate memory record 5 @ space = 17 and size = 13285290 !!!
Grapy verify FAILURE!
[C7x_1 ] 26259.817774 s: VX_ZONE_ERROR:[tivxAlgiVisionCreate:358] tivxAlgiVisionAllocMem Failed
[C7x_1 ] 26259.817798 s: VX_ZONE_ERROR:[tivxKernelTIDLCreate:818] tivxAlgiVisionCreate returned NULL
For 2 cameras I see the following memory utilization:
CPU: c7x_1: HEAP: DDR_LOCAL_MEM: size = 134217728 B, free = 12087040 B ( 9 % unused)
CPU: c7x_1: HEAP: L3_MEM: size = 3145728 B, free = 131072 B ( 4 % unused)
CPU: c7x_1: HEAP: L2_MEM: size = 458752 B, free = 458752 B (100 % unused)
CPU: c7x_1: HEAP: L1_MEM: size = 16384 B, free = 0 B ( 0 % unused)
CPU: c7x_1: HEAP: DDR_SCRATCH_MEM: size = 134217728 B, free = 132117397 B ( 98 % unused)
CPU: c7x_1: HEAP: DDR_NON_CACHE_M: size = 134217728 B, free = 98252672 B ( 73 % unused)
CPU: c7x_1: HEAP: DDR_SCRATCH_NON: size = 134217728 B, free = 134194048 B ( 99 % unused)
