I am new to deep learning and I have been trying to use the theano library to train my data. MLP tutorial here has a scalar output value while my use case has an array with a 1 corresponding to the value depicted in the output.
For example (assume the possible scalar values are 0,1,2,3,4,5),
0 = [1,0,0,0,0,0]
1 = [0,1,0,0,0,0]
2 = [0,0,1,0,0,0]
I have only modified the code to read my input and output (output now is a 2 dimensional array or matrix in the parlance of theano). Other parts of the code is as is from the MLP tutorial pasted above.
The error I am getting is in the following function
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]}) //line 286
Error stack:
Traceback (most recent call last):
File "mlp.py", line 398, in <module>
test_mlp()
File "mlp.py", line 286, in test_mlp
y: test_set_y[index * batch_size:(index + 1) * batch_size]})
File "/usr/local/lib/python2.7/dist-packages/theano/compile/function.py", line 223, in function
profile=profile)
File "/usr/local/lib/python2.7/dist-packages/theano/compile/pfunc.py", line 490, 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 92, 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 131, 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 92, 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 131, 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 92, 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 135, 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/type.py", line 205, in filter_variable
self=self)<br><br>
TypeError: Cannot convert Type TensorType(int64, 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).
I would like to know how to change this theano.function to accommodate the y value as a matrix.
You need to define y as T.imatrix() instead of T.lvector().