Loading test_1 dataset error about deep-prior-pp HOT 4 CLOSED

@weiguochow
The error looks like there is something wrong with the annotation file. I can open the mat file with scipy 0.13.3 . Did you try opening the mat file with ipython or similar?

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@moberweger
Thank you for your guide, I have fixed the problem. Then I want to rerun the code, for I used tensorflow as the framework, that I am not very familiar with the Theano. Can you give me some advice on the following error?
regards
weiguo

Save cache data to ./cache//MSRA15Importer_P7_None_gt_160_cache.pkl
Shuffling
Loading P8100%|#############################################################################################################################################################################################|
Loaded 8492 samples.
Save cache data to ./cache//MSRA15Importer_P8_None_gt_150_cache.pkl
Shuffling
training: P1 P2 P3 P4 P5 P6 P7 P8
testing: P0
data size: 4242Mb
1.07752 0.938656 -1.03945 -0.991144
1.0 1.0 -1.0 -1.0
create network
setup trainer
Train size: 4242.25MB, Memory available: 925.2MB, sample size: 0.0625MB, aligned memory: 920.0MB
67876 train samples, 8499 val samples, batch size 128
5 macro batches, 115 mini batches per macro, 531 full mini batches total
1 data chunks, 67876 train samples total
Loading 5 macro batches a 920.0MB
Loading 5 macro batches a 920.0MB
Loading 5 macro batches a 920.0MB
Loading 5 macro batches a 920.0MB
compiling train_model() ...
Traceback (most recent call last):
File "main_msra15_posereg_embedding_crossval.py", line 155, in
poseNetTrainer.compileFunctions(compileDebugFcts=False)

TypeError: Cannot convert Type TensorType(float32, 4D) (of Variable Subtensor{int64:int64:}.0) into Type TensorType(float64, 4D). You can try to manually convert Subtensor{int64:int64:}.0 into a TensorType(float64, 4D).

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In theano this is a common problem. The reason is, that the floating point precision does not match the device. In order to solve that problem, you have to run the program like
THEANO_FLAGS=device=gpu,floatX=float32

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@weiguochow I also met your first error above, can you share how you solved the problem? Hope for your help !

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