Start to Convert Other Model Format To MNN Model...
Start to Optimize the MNN Net...
[17:25:31] /path/to/MNN/tools/converter/source/optimizer/optimizer.cpp:44: Inputs: input
[17:25:31] /path/to/MNN/tools/converter/source/optimizer/optimizer.cpp:54: Outputs: MobilenetV2/Predictions/Reshape_1, Type = Reshape
Converted Done!
3. Run `benchmark.out` (loop=1, CPU, thread=1):
./benchmark.out ../benchmark/mbnet/ 1 0 1
Error occured:
MNN benchmark
Forward type: CPU thread=1** precision=2
--------> Benchmarking... loop = 1
Resize error for MobilenetV2/Conv/Conv2D, code=3
Error for /path/to/MNN/source/core/MNNMemoryUtils.c, 19
[ - ] mbv2.mnn max = 0.000ms min = 0.000ms avg = 0.000ms
STEPS:
MNNConvert
tool to convert it to MNN model:Results:
Start to Convert Other Model Format To MNN Model... Start to Optimize the MNN Net... [17:25:31] /path/to/MNN/tools/converter/source/optimizer/optimizer.cpp:44: Inputs: input [17:25:31] /path/to/MNN/tools/converter/source/optimizer/optimizer.cpp:54: Outputs: MobilenetV2/Predictions/Reshape_1, Type = Reshape Converted Done!
./benchmark.out ../benchmark/mbnet/ 1 0 1
MNN benchmark Forward type: CPU thread=1** precision=2 --------> Benchmarking... loop = 1 Resize error for MobilenetV2/Conv/Conv2D, code=3 Error for /path/to/MNN/source/core/MNNMemoryUtils.c, 19 [ - ] mbv2.mnn max = 0.000ms min = 0.000ms avg = 0.000ms
18: void *MNNMemoryAllocAlign(size_t size, size_t alignment) { 19: MNN_ASSERT(size > 0);