本帖最后由 junyius 于 2021-7-11 21:23 编辑
→ Init runtime environment
W Flag eval_mem has been set, it will affect the performance of inference!
I NPUTransfer: Starting NPU Transfer Client, Transfer version 2.1.0 (b5861e7@2020-11-23T11:50:51)
D RKNNAPI: ==============================================
D RKNNAPI: RKNN VERSION:
D RKNNAPI: API: 1.6.0 (79320de build: 2020-12-29 10:57:09)
D RKNNAPI: DRV: 1.6.0 (159d2d3 build: 2021-01-12 15:23:09)
D RKNNAPI: ==============================================
all device(s) with ntb mode:
0123456789ABCDEF
----------------->>>>> (, [‘0123456789ABCDEF’])
done
Memory Profile Info Dump
======================================================
System memory:
maximum allocation : 24.09 MiB
total allocation : 73.42 MiB
NPU memory:
maximum allocation : 34.53 MiB
total allocation : 34.55 MiB
Total memory:
maximum allocation : 58.62 MiB
total allocation : 107.97 MiB
INFO: When evaluating memory usage, we need consider
the size of model, current model size is: 4.10 MiB
板子说明书说的rk3399pro的npu内存有1G，但是得到的NPU memory: 只有30多M，这个正常吗？有没办法得到npu的总内存，而不是使用内存？