Here are my code and error message. I have two functions since I want to
call the NewOp in the middle, not directly providing input.
import theano
import theano.tensor as T
import numpy as np
class NewOp(theano.Op):
__props__ = ()
itypes = [theano.tensor.dmatrix]
otypes = [theano.tensor.dmatrix]
def perform(self, node, inputs, output_storage):
x = inputs[0]
z = output_storage[0]
z[0] = x * 2
def test():
newop = NewOp()
# x is a middle output which is generated from input
x = theano.tensor.matrix()
f = theano.function([x], NewOp()(x))
# y and z are direct input data
y = theano.tensor.matrix()
z = theano.tensor.matrix()
# Since x is generated using some complicated tensor operations, just
use a simple example here.
x = y + z
e = f(x)
y_input = np.random.rand(5, 4)
z_input = np.random.rand(5, 4)
anotherf = theano.function([y, z], e)
output = anotherf(y_input, z_input)
# I want to use the output for other things as well, so, I want to use
e before generating the real ouput.
print output
print type(output)
if __name__ == '__main__':
test()
'Expected an array-like object, but found a Variable: '
TypeError: ('Bad input argument to theano function with name
"testop.py:20" at index 0(0-based)', 'Expected an array-like object, but
found a Variable: maybe you are trying to call a function on a (possibly
shared) variable instead of a numeric array?')
Any thoughts?
Thanks,
Ven
On Tue, Apr 11, 2017 at 9:56 AM, Frédéric Bastien <
[email protected]> wrote:
> Without an error message, it is hard to help.
>
> I would suggest you to use as_op in Theano for this if you have difficulty
> with the Op interface. Both are equivalent, so you can continue with the Op
> interface:
>
> http://deeplearning.net/software/theano/extending/
> extending_theano.html#as-op
>
> On Mon, Apr 10, 2017 at 11:17 AM Vena Li <[email protected]> wrote:
>
>> Hi,
>>
>> I want to call a Java function in my program. I am able to call it in
>> python. It takes a numpy array as input and return a numpy array as output.
>> However, I am having some difficulties to make it work in theano using
>> tensor. I want to pass a tensor as a input, and after calling the function,
>> I want another tensor returned. I will use the returned tensor for other
>> operations. I was wondering is there an easy of doing so? I tried to use
>> the "Creating a new Op:", but still not able to use the returned value.
>>
>> Thanks,
>> Vena
>>
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