I tried everthing you said. The same error still shows. Here is the github link to the code: https://github.com/Layman806/ocr-cnn/blob/master/CNN.py The error shows up in the exact same line. Here it is line 151.
On Wednesday, March 29, 2017 at 9:06:03 AM UTC+5:30, [email protected] wrote: > > okay, I finally sort it out. > [for all tutorials] > (1) the mnist dataset somehow doesn't split into three parts > (train_set,test_set,valid_set). > One should revise the code on deeplearning tutorial > > (2) the type of train_set_x,test_set_x are 3D matrices (i.e. > TensorType(float64,3D) ), however, the declaration of x=T.matrix('x') gives > TensorType(float64,matrix) > One way to figure this out is to add two lines below the declaration > of x: > train_set_x = train_set_x.flatten().reshape((60000,28*28)) > test_set_x = test_set_x.flatten().reshape((10000,28*28)) > > [for logistic regression tutorial] > (3) the type of train_set_y, test_set_y are Elemsie{float64}, however, the > declaration of y = T.ivector('y') is of TensorType(int32,vector) > One way to figure this out is to revise the code inside the function > shared_dataset. > Change the dtype=theano.config.floatX of shared_y to dtype='int32' > > (4) If you still wish to use the mini-batch in the code, > either spit the training examples into training and validate parts or > simply set your valid_set to be test_set [if you just want the code to work] > > Anyway, I guess all the changes one has to make is due the differences of > mnist data set. [maybe it has been modified, i have no idea.] > > -Po > > nouiz於 2017年3月28日星期二 UTC+8下午8時57分31秒寫道： >> >> <Elemwise{Cast{int32}}> isn't a type. This is show what computation is >> done, not the type. >> >> Fred >> >> On Wed, Jul 17, 2013 at 12:07 PM Frédéric Bastien <[email protected]> >> wrote: >> >>> Hi, >>> >>> Did you modify the example? Normally it work correctly. I tested it >>> again and it still work here. >>> >>> The problem seam to be that in the file LoReg.py, on line 163, when you >>> call theano.function(), the givens or the updates parameter isn't good. You >>> try to replace a matrix with a vector. >>> >>> Fred >>> >>> >>> On Wed, Jul 17, 2013 at 11:41 AM, Petros Ypsilantis <[email protected]> >>> wrote: >>> >>>> Hello everyone! >>>> >>>> I am new to Theano and have just started working through the tutorial >>>> here: http://deeplearning.net/tutorial/logreg.html Thanks to the >>>> authors for writing the tutorial! It has been very instructive! >>>> >>>> My problem is that I use the code from the tutorial "logistic_sgd.py" >>>> and I have the below error message : >>>> >>>> >>>> WARNING (theano.tensor.blas): Failed to import scipy.linalg.blas. >>>> Falling back on slower implementations (libblas.so: cannot open shared >>>> object file: No such file or directory) >>>> .... loading data >>>> ...building the model >>>> Traceback (most recent call last): >>>> File "/home/petros/LogReg.py", line 271, in <module> >>>> sgd_optimization_mnist() >>>> >>>> File "/home/petros/LogReg.py", line 163, in sgd_optimization_mnist >>>> y: test_set_y[index * batch_size: (index + 1) * batch_size]}) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/theano/compile/function.py", line >>>> 221, in function >>>> profile=profile) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line >>>> 484, >>>> in pfunc >>>> no_default_updates=no_default_updates) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line >>>> 241, >>>> in rebuild_collect_shared >>>> cloned_v = clone_v_get_shared_updates(outputs, copy_inputs_over) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 93, >>>> in clone_v_get_shared_updates >>>> clone_a(v.owner, copy_inputs_over) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line >>>> 132, >>>> in clone_a >>>> clone_v_get_shared_updates(i, copy_inputs_over) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 93, >>>> in clone_v_get_shared_updates >>>> clone_a(v.owner, copy_inputs_over) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line >>>> 132, >>>> in clone_a >>>> clone_v_get_shared_updates(i, copy_inputs_over) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 93, >>>> in clone_v_get_shared_updates >>>> clone_a(v.owner, copy_inputs_over) >>>> File >>>> "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line >>>> 136, >>>> in clone_a >>>> strict=rebuild_strict) >>>> File "/usr/local/lib/python2.7/dist-packages/theano/gof/graph.py", >>>> line 213, in clone_with_new_inputs >>>> new_inputs[i] = curr.type.filter_variable(new) >>>> File "/usr/local/lib/python2.7/dist-packages/theano/tensor/basic.py", >>>> line 821, in filter_variable >>>> self=self) >>>> TypeError: Cannot convert Type TensorType(int32, matrix) (of Variable >>>> Subtensor{int64:int64:}.0) into Type TensorType(int32, vector). You can >>>> try >>>> to manually convert Subtensor{int64:int64:}.0 into a TensorType(int32, >>>> vector). >>>> >>>> >>>> >>>> Does anyone know how to solve this problem.....??? >>>> >>>> Thanks in advance. >>>> >>>> Petros >>>> >>>> -- >>>> >>>> --- >>>> 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/groups/opt_out. >>>> >>>> >>>> >>> >>> -- --- 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.
