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| 在 x86_64 的 Ubuntu 平台下,把 tensorflow 的模型转换成了 rknn 格式。然后在 rk3399pro 上用 load_rknn() 载入,在 init_runtime() 时报错 RKNN_ERR_MODEL_INVALID,不知道是什么意思?rk3399pro 已经刷了最新的 Fedora V1.5 固件。rknn-toolkit 都是用的 1.2.1 
 
 D Save log info to: ./verbose.log
 P12948 2019-11-22 06:45:45,286 I [enhancement.py:41] loaded rknn model
 I npu_transfer_proxy pid: 679, status: sleeping
 D NPUTransfer: efuseid = 3399:6c1234ab1cf918b3
 D NPUTransfer: Transfer spec = local:transfer_proxy
 D NPUTransfer: Transfer interface successfully opened, fd = 4
 E RKNNAPI: rknn_init,  msg_load_ack fail, ack = 1(ACK_FAIL), expect 0(ACK_SUCC)!
 E RKNNAPI: ==============================================
 E RKNNAPI: RKNN VERSION:
 E RKNNAPI:   API: 1.2.0 (1190a71 build: 2019-09-25 12:39:26)
 E RKNNAPI:   DRV: 0.9.9 (8509ec7 build: 2019-08-05 10:54:34)
 E RKNNAPI: ==============================================
 D NPUTransfer: Transfer client closed, fd = 4
 E Catch exception when init runtime!
 E Traceback (most recent call last):
 E   File "rknn/api/rknn_base.py", line 788, in rknn.api.rknn_base.RKNNBase.init_runtime
 E   File "rknn/api/rknn_runtime.py", line 303, in rknn.api.rknn_runtime.RKNNRuntime.build_graph
 E Exception: RKNN init failed. error code: RKNN_ERR_MODEL_INVALID
 
 
 
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