Hi eveyone.
I am having the popular error TypeError: Cannot convert Type TensorType. I
am not able to solve it using the help in other posts.
I am using my own database and I am using the LENET architecture.
This is my data. I read it in a different function image per image:
croped_Scale = frame[arr:abj, izq:dcha]
image = cv2.resize(croped_Scale, (128, 128))
aux_vect = np.ravel(image)
aux_X.append(aux_vect)
And then I use it in LENET:
train_set_x = theano.shared(numpy.array(train_set_x))
test_set_x = theano.shared(numpy.array(test_set_x))
train_set_y = theano.shared(numpy.array(y_train))
test_set_y = theano.shared(numpy.array(y_test))
valid_set_x = theano.shared(numpy.array(valid_set_x))
valid_set_y = theano.shared(numpy.array(y_val))
whose shape is:
(2324, 49152) (664, 49152) (332, 49152) For samples (training, test and
validation)
(2324,) (664,) (332,) and for labels (training, test and validation)
Here is my error: TypeError: Cannot convert Type TensorType(uint8, matrix)
(of Variable Subtensor{int64:int64:}.0) into Type TensorType(float64,
matrix). You can try to manually convert Subtensor{int64:int64:}.0 into a
TensorType(float64, matrix).
And the line where it is produced is in: y: test_set_y[index *
batch_size: (index + 1) * batch_size]
If use the flatten function in that way:
train_set_x = theano.shared(numpy.array(train_set_x).flatten())
test_set_x = theano.shared(numpy.array(test_set_x).flatten())
train_set_y = theano.shared(numpy.array(y_train).flatten())
test_set_y = theano.shared(numpy.array(y_test).flatten())
valid_set_x = theano.shared(numpy.array(valid_set_x).flatten())
valid_set_y = theano.shared(numpy.array(y_val).flatten())
I get the following error:TypeError: Cannot convert Type TensorType(uint8,
vector) (of Variable Subtensor{int64:int64:}.0) into Type TensorType(float64,
matrix). You can try to manually convert Subtensor{int64:int64:}.0 into a
TensorType(float64, matrix).
If I force the samples to be float64 and the labels to be int32 it works,
but I do not want to do that because it would not work with GPU because of
the line in theanorc: floatX = float32
I have been reading in the forum I have not get the solution.
Anyone could help me? I would like to run the code in GPU
Regards.
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