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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