Type Issues? about personality-detection HOT 8 CLOSED

dear @padenr you need to update yr theanorc file :
[global]
floatX=float32
it may solve the error.

from personality-detection.

I actually did that before and I got this other error. So I wasn't sure whether I was supposed to keep that line in or not. Based on your advice I assume it should be. But what about this error? This error only engages when I add the above to my .theanorc.

loading data... data loaded!
model architecture: CNN-static
using: word2vec vectors
[('image shape', 153, 300), ('filter shape', [(200, 1, 1, 300), (200, 1, 2, 300), (200, 1, 3, 300)]), ('hidden_units', [200, 200, 2]), ('dropout', [0.5, 0.5, 0.5]), ('batch_size', 50), ('non_static', False), ('learn_decay', 0.95), ('conv_non_linear', 'relu'), ('non_static', False), ('sqr_norm_lim', 9), ('shuffle_batch', True)]
Traceback (most recent call last):
File "conv_net_train.py", line 476, in
activations=[Sigmoid])
File "conv_net_train.py", line 123, in train_conv_net
conv_feats, _ = theano.scan(fn= convolve_user_statuses, sequences= layer0_input)
File "/home/rumsey_pr/anaconda2/lib/python2.7/site-packages/theano/scan_module/scan.py", line 773, in scan
condition, outputs, updates = scan_utils.get_updates_and_outputs(fn(*args))
File "conv_net_train.py", line 115, in convolve_user_statuses
layer1_inputs.append(conv_layer.set_input(input=relv_input).flatten(2))
File "conv_net_classes.py", line 393, in set_input
conv_out = conv.conv2d(input=input, filters=self.W,filter_shape=self.filter_shape, image_shape=self.image_shape)
File "/home/rumsey_pr/anaconda2/lib/python2.7/site-packages/theano/tensor/nnet/conv.py", line 153, in conv2d
return op(input, filters)
File "/home/rumsey_pr/anaconda2/lib/python2.7/site-packages/theano/gof/op.py", line 615, in call
node = self.make_node(*inputs, **kwargs)
File "/home/rumsey_pr/anaconda2/lib/python2.7/site-packages/theano/tensor/nnet/conv.py", line 655, in make_node
"inputs(%s), kerns(%s)" % (_inputs.dtype, _kerns.dtype))
NotImplementedError: The image and the kernel must have the same type.inputs(float64), kerns(float32)

from personality-detection.

dear @padenr , i also have the same issue. i also got the same error if u able to solve please give me solution too.

from personality-detection.

I managed to get rid of this error by going into conv_net_classes.py and changing line 393 (give or take a line in mine) from

    conv_out = conv.conv2d(input=input, filters=self.W,filter_shape=self.filter_shape, image_shape=self.image_shape)

to

    conv_out = conv.conv2d(input=T.cast(input, theano.config.floatX), filters=self.W,filter_shape=self.filter_shape, image_shape=self.image_shape)

where floatX = float32 in my theanorc file.

Doing this gets it to the actual training phase. BUT the training will never finish. I watched it run for a few hours hoping it would work and it never did. Please tell me if you can get it to work. And if you do what hardware you are running your CNN on.

from personality-detection.

dear @padenr thank you so much for given the soluation.
but while running the code i found the memory issue.my training phase was not start.

loading data... data loaded!
model architecture: CNN-static
using: word2vec vectors
[('image shape', 153, 300), ('filter shape', [(200, 1, 1, 300), (200, 1, 2, 300), (200, 1, 3, 300)]), ('hidden_units', [200, 200, 2]), ('dropout', [0.5, 0.5, 0.5]), ('batch_size', 50), ('non_static', False), ('learn_decay', 0.95), ('conv_non_linear', 'relu'), ('non_static', False), ('sqr_norm_lim', 9), ('shuffle_batch', True)]
... training
Traceback (most recent call last):
File "conv_net_train.py", line 477, in
activations=[Sigmoid])
File "conv_net_train.py", line 221, in train_conv_net
cost_epoch = train_model(minibatch_index)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py", line 606, in call
storage_map=self.fn.storage_map)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py", line 595, in call
outputs = self.fn()
MemoryError:
Apply node that caused the error: AdvancedSubtensor1(Words, Elemwise{Cast{int32}}.0)
Inputs types: [TensorType(float64, matrix), TensorType(int32, vector)]
Inputs shapes: [(30392, 300), (2386800,)]
Inputs strides: [(2400, 8), (4,)]
Inputs values: ['not shown', 'not shown']

HINT: Re-running with most Theano optimization disabled could give you a back-trace of when this node was created. This can be done with by setting the Theano flag 'optimizer=fast_compile'. If that does not work, Theano optimizations can be disabled with 'optimizer=None'.
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and storage map footprint of this apply node.

from personality-detection.

Hmm. I didn't get that one so I don't really know honestly. I imagine since we've gotten most of the same errors that I should get this one too. But I don't know.

from personality-detection.

heloo @padenr can u tell me how u install the THEANO in anaconda environment ?
i think the error is occur bcz of incomplete installation of theano packege.

from personality-detection.

You're computer doesn't have enough RAM to run the program.

from personality-detection.