Hi Fred, thanks for the info, will try that.
On Tuesday, 11 October 2016 20:51:49 UTC+8, nouiz wrote:
>
> Update to Theano dev version. There was update to it since the last
> release that could help you.
>
> Fred
>
> Le 11 oct. 2016 01:31, "狄凯" <dika...@gmail.com <javascript:>> a écrit :
>
>> Hi guys, I'm trying to use theano bilinear_upsampling function to write a
>> custom layer for Keras.
>> I just failed to make a simple function with it.
>> Below is my example showing this failure:
>>
>> import theano.tensor as T
>> from theano import function
>> from theano.tensor.nnet.abstract_conv import bilinear_upsampling
>> x = T.tensor4('x')
>> y = bilinear_upsampling(x, 2)
>>
>> I get the following error:
>> Traceback (most recent call last):
>> File "<stdin>", line 1, in <module>
>> File
>> "/home/dikai/bin/anaconda2/lib/python2.7/site-packages/theano/tensor/nnet/abstract_conv.py",
>>
>> line 569, in bilinear_upsampling
>> row * ratio, col * ratio))
>> File
>> "/home/dikai/bin/anaconda2/lib/python2.7/site-packages/theano/tensor/var.py",
>>
>> line 327, in reshape
>> return theano.tensor.basic.reshape(self, shape, ndim=ndim)
>> File
>> "/home/dikai/bin/anaconda2/lib/python2.7/site-packages/theano/tensor/basic.py",
>>
>> line 4526, in reshape
>> newshape = as_tensor_variable(newshape)
>> File
>> "/home/dikai/bin/anaconda2/lib/python2.7/site-packages/theano/tensor/basic.py",
>>
>> line 208, in as_tensor_variable
>> raise AsTensorError("Cannot convert %s to TensorType" % str_x,
>> type(x))
>> theano.tensor.var.AsTensorError: ('Cannot convert (None, None,
>> Elemwise{mul,no_inplace}.0, Elemwise{mul,no_inplace}.0) to TensorType',
>> <type 'tuple'>)
>>
>> I thought the problem was because I didn't specify batch_size and
>> num_input_channels of the bilinear_upsampling function, so I tested the
>> following code:
>>
>> import theano.tensor as T
>> from theano import function
>> from theano.tensor.nnet.abstract_conv import bilinear_upsampling
>> x = T.tensor4('x')
>> y = bilinear_upsampling(x, 2, batch_size=x.shape[0],
>> num_input_channels=x.shape[1])
>>
>> I got a different error:
>>
>> Traceback (most recent call last):
>> File "<stdin>", line 1, in <module>
>> File
>> "/home/dikai/bin/anaconda2/lib/python2.7/site-packages/theano/tensor/nnet/abstract_conv.py",
>>
>> line 542, in bilinear_upsampling
>> filter_flip=True)
>> File
>> "/home/dikai/bin/anaconda2/lib/python2.7/site-packages/theano/tensor/nnet/abstract_conv.py",
>>
>> line 241, in conv2d_grad_wrt_inputs
>> integer_types, type(None)))
>> AssertionError
>>
>> I also checked the source code that raised this error:
>>
>> # checking the type of input_shape
>> for dim in [0, 1]:
>> assert isinstance(input_shape[dim], (theano.tensor.TensorConstant,
>>
>> integer_types, type(None)))
>>
>> I don't know if this is a bug or not. Or can anyone provide a working
>> example that upsamples a 4D tensor using this function (assuming actual
>> shape of x is known only at runtime)?
>>
>> --
>>
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>
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