You probably declared your symbolic variable y (which you are using in
`givens`) as tensor.ivector(), which is a vector of int32, but your data
seems to contain float64 arrays.
On Tue, Nov 01, 2016, mw3...@columbia.edu wrote:
>
>
> I am having the same type of error here, and I am still confused about how to
> solve this problem after reading the existing discussion. Hope to get some
> help,thanks!
>
>
> test_model = theano.function(
> inputs=[index],
> outputs=classifier.errors(y),
> givens={
> x: test_set_x[index * batch_size: (index + 1) * batch_size],
> y: test_set_y[index * batch_size: (index + 1) * batch_size]
> }
> )
>
>
> Error:
>
> Cannot convert Type TensorType(float64, vector) (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).
>
>
> -------
>
> x = np.array(inputD,dtype = 'float64')
> y = np.array(y,dtype = 'float64')
> y = y.flatten()
>
>
> train_set_x = x[:230]
> valid_set_x = x[231:280]
> test_set_x = x[281:310]
> train_set_y = y[:230]
> valid_set_y = y[231:280]
> test_set_y = y[281:310]
>
>
> train_set_x = theano.shared(train_set_x)
> train_set_y = theano.shared(train_set_y)
> test_set_x = theano.shared(test_set_x)
> test_set_y = theano.shared(test_set_y)
>
>
> print (test_set_x.type )
> print (test_set_y.type )
>
>
> I get:
>
> TensorType(float64, matrix)
> TensorType(float64, vector)
>
> -----
>
>
>
> On Wednesday, July 17, 2013 at 11:41:51 AM UTC-4, Petros Ypsilantis 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
> >
>
> --
>
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--
Pascal
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