cascade-rcnn
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zhaoweicai
(nil) (unknown) Aborted (core dumped)
When I try to run you training script to train a resnet101 cascade faster rcnn, I encounter a error like this:
F0530 22:30:27.787274 1077 syncedmem.cpp:71] Check failed: error == cudaSuccess (2 vs. 0) out of memory *** Check failure stack trace: *** @ 0x7ff7618205cd google::LogMessage::Fail() ............................. Aborted (core dumped)
i know it because memory is not enough.but When I try to run you training script to train a resnet50 cascade faster rcnn, I encounter the other error like this:
@ 0x7f999f9855d5 (unknown)
I0530 22:31:45.417707 1167 layer_factory.hpp:77] Creating layer scale2a_branch2b I0530 22:31:45.418323 1167 net.cpp:122] Setting up scale2a_branch2b I0530 22:31:45.418344 1167 net.cpp:129] Top shape: 1 64 250 150 (2400000) I0530 22:31:45.418352 1167 net.cpp:137] Memory required for data: 276001080 I0530 22:31:45.418380 1167 layer_factory.hpp:77] Creating layer res2a_branch2b_relu I0530 22:31:45.418406 1167 net.cpp:84] Creating Layer res2a_branch2b_relu I0530 22:31:45.418423 1167 net.cpp:406] res2a_branch2b_relu <- res2a_branch2b I0530 22:31:45.418457 1167 net.cpp:367] res2a_branch2b_relu -> res2a_branch2b (in-place) @ 0x7f999a5966ba start_thread I0530 22:31:45.418839 1167 net.cpp:122] Setting up res2a_branch2b_relu I0530 22:31:45.418860 1167 net.cpp:129] Top shape: 1 64 250 150 (2400000) I0530 22:31:45.418870 1167 net.cpp:137] Memory required for data: 285601080 I0530 22:31:45.418885 1167 layer_factory.hpp:77] Creating layer res2a_branch2c I0530 22:31:45.418934 1167 net.cpp:84] Creating Layer res2a_branch2c I0530 22:31:45.418954 1167 net.cpp:406] res2a_branch2c <- res2a_branch2b I0530 22:31:45.418989 1167 net.cpp:380] res2a_branch2c -> res2a_branch2c @ 0x7f99aa19641d clone @ (nil) (unknown) Aborted (core dumped)
22/5000 Why are these two errors different? Can you give me some advice about the latter?
Becasue you didn't change root_folder in train.prototxt and test.prototxt
