Thank you, but it doesn't modify nothing. The errors are the same.
Il giorno lunedì 13 marzo 2017 17:12:06 UTC+1, Jesse Livezey ha scritto: > > You can probably modify line 27 in make_labels.py to be > for ind in range(labels.size // batch_size): > > This code was probably written with python 2 where division worked > differently. > > On Monday, March 13, 2017 at 8:45:39 AM UTC-7, Goffredo Giordano wrote: >> >> Hi, >> I'm a new user and I'm trying to study the ample world of machine >> learning. I would like to run the theano_alexnet training from >> https://github.com/uoguelph-mlrg/theano_alexnet. >> My computer is a Windows 10 native-machine 64 bit Intel core i7. I use >> WinPython-64bit-3.4.4.4QT5 from WinPython 3.4.4.3, Visual Studio 2015 >> Community Edition Update 3, CUDA 8.0.44 (64-bit), cuDNN v5.1 (August 10, >> 2016) for CUDA 8.0, Git source control based on MinGW compiler and OpenBLAS >> 0.2.14. >> As fundamental python libraries Theano is 0.9.0beta1 version, Scipy is >> 0.19.0, Keras 1.2.2, Lasagne 0.2.dev1, Numpy 1.11.1, hickle 2.0.4, h5py >> 2.6.0, pycuda, pylearn2, zeromq. >> I have downloaded the training images, the validation images and I have >> unzipped the development kit from Imagenet dataset. I have configured the >> paths.yaml with my folders but I do not know where I could find the val.txt >> and train.txt files. I used the meta_clsloc.mat file and >> ILSVRC2012_validation_ground_truth.txt file from the development kit from >> Imagenet dataset. With the Git bash control i try to run the >> generate_toy_data.sh and I can find the train_labels.npy, val_labels.npy, >> img_mean.npy, shuffled_train_filenames.npy with the validation alex net >> *.hkl files, but nothing in the training folder. Probably I forgot some >> important features, so I would apologize previously. Thank you so much! >> >> >> Goffredo_Giordano@Goffredo MINGW64 /c/deep_learning/alexnet/preprocessing >> $ sh generate_toy_data.sh >> ciao >> generating toy dataset ... >> make_hkl.py:72: >> VisibleDeprecationWarning: using a non-integer number instead of an integer >> will result in an error in the future >> hkl.dump(img_batch[:, :, :, :half_size], >> make_hkl.py:76: VisibleDeprecationWarning: using a non-integer number >> instead of an integer will result in an error in the future >> hkl.dump(img_batch[:, :, :, half_size:], >> Traceback (most recent call last): >> File "make_train_val_txt.py", line 26, in <module> >> synsets = scipy.io.loadmat(meta_clsloc_mat)['synsets'][0] >> File >> "C:\deep_learning\WinPython-64bit-3.4.4.4Qt5\python-3.4.4.amd64\lib\site-packages\scipy\io\matlab\mio.py", >> >> line 136, in loadmat >> matfile_dict = MR.get_variables(variable_names) >> File >> "C:\deep_learning\WinPython-64bit-3.4.4.4Qt5\python-3.4.4.amd64\lib\site-packages\scipy\io\matlab\mio5.py", >> >> line 272, in get_variables >> hdr, next_position = self.read_var_header() >> File >> "C:\deep_learning\WinPython-64bit-3.4.4.4Qt5\python-3.4.4.amd64\lib\site-packages\scipy\io\matlab\mio5.py", >> >> line 226, in read_var_header >> mdtype, byte_count = self._matrix_reader.read_full_tag() >> File "scipy\io\matlab\mio5_utils.pyx", line 546, in >> scipy.io.matlab.mio5_utils.VarReader5.read_full_tag >> (scipy\io\matlab\mio5_utils.c:5330) >> File "scipy\io\matlab\mio5_utils.pyx", line 554, in >> scipy.io.matlab.mio5_utils.VarReader5.cread_full_tag >> (scipy\io\matlab\mio5_utils.c:5400) >> File "scipy\io\matlab\streams.pyx", line 164, in >> scipy.io.matlab.streams.ZlibInputStream.read_into >> (scipy\io\matlab\streams.c:3052) >> File "scipy\io\matlab\streams.pyx", line 151, in >> scipy.io.matlab.streams.ZlibInputStream._fill_buffer >> (scipy\io\matlab\streams.c:2913) >> zlib.error: Error -3 while decompressing data: invalid distance too far >> back >> make_labels.py:17: VisibleDeprecationWarning: using a non-integer number >> instead of an integer will result in an error in the future >> labels = labels[:labels.size / orig_batch_size * orig_batch_size] >> make_labels.py:23: VisibleDeprecationWarning: using a non-integer number >> instead of an integer will result in an error in the future >> labels_0 = labels.reshape((-1, batch_size))[::num_div].reshape(-1) >> make_labels.py:24: VisibleDeprecationWarning: using a non-integer number >> instead of an integer will result in an error in the future >> labels_1 = labels.reshape((-1, batch_size))[1::num_div].reshape(-1) >> Traceback (most recent call last): >> File "make_labels.py", line 125, in <module> >> div_labels(train_label_name, orig_batch_size, num_div) >> File "make_labels.py", line 27, in div_labels >> for ind in range(labels.size / batch_size): >> TypeError: 'float' object cannot be interpreted as an integer >> >> -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
