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您好,我在量化网络时出现上采样层报错:
I0701 11:50:33.413280 277 net.cpp:269] Top shape: 1 18 9 11 (1782)
I0701 11:50:33.413285 277 net.cpp:277] Memory required for data: 50487480
I0701 11:50:33.413293 277 _factory.hpp:106] Creating 73-route
I0701 11:50:33.413300 277 net.cpp:209] Creating 73-route
I0701 11:50:33.413306 277 net.cpp:1007] 73-route <- 64-conv_inp_
I0701 11:50:33.413313 277 net.cpp:981] 73-route -> 73-route
I0701 11:50:33.413321 277 net.cpp:246] Setting up 73-route
I0701 11:50:33.413328 277 net.cpp:269] Top shape: 1 72 9 11 (7128)
I0701 11:50:33.413336 277 net.cpp:277] Memory required for data: 50515992
I0701 11:50:33.413341 277 _factory.hpp:106] Creating 74-upsample
I0701 11:50:33.413350 277 net.cpp:209] Creating 74-upsample
I0701 11:50:33.413357 277 net.cpp:1007] 74-upsample <- 73-route
I0701 11:50:33.413364 277 net.cpp:981] 74-upsample -> 74-upsample
F0701 11:50:33.413383 277 upsample_ .cpp:99] Check failed: 4 == bottom[1]->num_axes() (4 vs. 0) Input mask must have 4 axes, corresponding to (num, channels, height, width)
*** Check failure stack trace: ***
@ 0x7f52c3d4e0cd google::LogMessage::Fail()
@ 0x7f52c3d4ff33 google::LogMessage::SendToLog()
@ 0x7f52c3d4dc28 google::LogMessage::Flush()
@ 0x7f52c3d50999 google::LogMessageFatal::~LogMessageFatal()
@ 0x7f52c4a92429 caffe::Upsample <>::Reshape()
@ 0x7f52c46a38fe caffe:: <>::Reshape_tensor()
@ 0x7f52c4afac44 caffe::Net<>::Init()
@ 0x7f52c4afdbe0 caffe::Net<>::Net()
@ 0x5586b94eb32d (unknown)
@ 0x5586b94d3df0 (unknown)
@ 0x7f52c1b30b97 __libc_start_main
@ 0x5586b94d3fea (unknown)
Aborted (core dumped)
inp_inp
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