db_lmdb.hpp:15] Check failed: mdb_status == 0 (2 vs. 0) No such file or directory

Question

I have been trying to run the squeeznet model for quite some time now,after resolving multiple errors,i am stuck with this one-

when i run the command

./build/tools/caffe train -solve SqueezeNet/SqueezeNet_v1.0/solver.prototxt

i get

I0723 16:26:58.532799 11108 layer_factory.hpp:77] Creating layer data
F0723 16:26:58.629655 11108 db_lmdb.hpp:15] Check failed: mdb_status 
== 0 (2 vs. 0) No such file or directory
***     Check failure stack trace: ***
    @     0x7fb24de835cd  google::LogMessage::Fail()
    @     0x7fb24de85433  google::LogMessage::SendToLog()
    @     0x7fb24de8315b  google::LogMessage::Flush()
    @     0x7fb24de85e1e  google::LogMessageFatal::~LogMessageFatal()
    @     0x7fb24e23efd8  caffe::db::LMDB::Open()
    @     0x7fb24e2b541f  caffe::DataLayer<>::DataLayer()
    @     0x7fb24e2b55b2  caffe::Creator_DataLayer<>()
    @     0x7fb24e290a59  caffe::Net<>::Init()
    @     0x7fb24e29343e  caffe::Net<>::Net()
    @     0x7fb24e22a315  caffe::Solver<>::InitTrainNet()
    @     0x7fb24e22b6f5  caffe::Solver<>::Init()
    @     0x7fb24e22ba0f  caffe::Solver<>::Solver()
    @     0x7fb24e21c851  caffe::Creator_SGDSolver<>()
    @           0x40a958  train()
    @           0x4072f8  main
    @     0x7fb24c50c830  __libc_start_main
    @           0x407bc9  _start
    @              (nil)  (unknown)
Aborted (core dumped)

Any suggestions?

score 3 · Accepted Answer · answered Jul 23 '17 at 11:38

3

It seems like caffe cannot find the LMDB database storing your training/validation data.

Make sure that the LMDB pointed by the path in source: ... parameter in your "Data" layer exists and that you have read permissions for this dataset.

answered Jul 23 '17 at 11:38

Shai

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this is what it says in the train.val file-- data_param { source: "examples/imagenet/ilsvrc12_train_lmdb" batch_size: 32 #*iter_size backend: LMDB } but the ilsvrc12_train_lmdb file is not in the examples folder!!-where do i find it?? – Ryan Jul 23 '17 at 11:42
@Ryan I guess you'll have to [create it](https://stackoverflow.com/a/31431716/1714410). – Shai Jul 23 '17 at 11:45
hey shai! i have one question -i see that there is an imagnet folder in caffe,does it cantain the imagent data? or do we still have to download the images from the imagenet dataset? – Ryan Jul 23 '17 at 12:18
@Ryan if you haven't downloaded it, it's not there. – Shai Jul 23 '17 at 12:22
sorry to bother you shai, one of the instructions in the squeezenet installtion process says:Helpful hints: Getting the SqueezeNet model: git clone . In this repository, we include Caffe-compatible files for the model architecture, the solver configuration, and the pretrained model (4.8MB uncompressed). but if i have to download the imagenet datat for it to train,whats the point?or am i missing something obvious? – Ryan Jul 26 '17 at 10:36
@Ryan the authors offer you to download the parameters of the net **after** they trained it on the data (4.8MB). If you want to train it yourself you'll have to download the data yourself (GBs of images.) It's up to you. – Shai Jul 26 '17 at 10:41
1

thanks shai-i have to type this because it wont accept just thanks shai. – Ryan Jul 26 '17 at 11:05

db_lmdb.hpp:15] Check failed: mdb_status == 0 (2 vs. 0) No such file or directory

1 Answers1