how to install theano 0.9.0.dev1? about frrn HOT 3 CLOSED

Install it via pip install git+https://github.com/Theano/Theano.

from frrn.

Can you tell me how to install theano 0.9.0? The default theano for python 3,5 is 0.8.0 by which your code will run into the following error.

from frrn.

Enter path to CityScapes folder [/opt/data/penggao/dataset/cityscape]:
Enter model filename [models/frrn_b.npz]:
Enter log filename [logs/frrn_b.log]:
Define network... [0.52s]
Load model... [0.83s]
Define loss... [0.51s]
Traceback (most recent call last):
File "/usr/local/lib/python3.5/site-packages/theano/tensor/type.py", line 267, in dtype_specs
}[self.dtype]
KeyError: 'object'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/local/lib/python3.5/site-packages/theano/tensor/basic.py", line 408, in constant_or_value
TensorType(dtype=x_.dtype, broadcastable=bcastable),
File "/usr/local/lib/python3.5/site-packages/theano/tensor/type.py", line 50, in init
self.dtype_specs() # error checking is done there
File "/usr/local/lib/python3.5/site-packages/theano/tensor/type.py", line 270, in dtype_specs
% (self.class.name, self.dtype))
TypeError: Unsupported dtype for TensorType: object

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/local/lib/python3.5/site-packages/theano/tensor/basic.py", line 202, in as_tensor_variable
return constant(x, name=name, ndim=ndim)
File "/usr/local/lib/python3.5/site-packages/theano/tensor/basic.py", line 422, in constant
dtype=dtype)
File "/usr/local/lib/python3.5/site-packages/theano/tensor/basic.py", line 417, in constant_or_value
raise TypeError("Could not convert %s to TensorType" % x, type(x))
TypeError: not all arguments converted during string formatting

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 78, in
all_predictions, split_outputs = dltools.hybrid_training.get_split_outputs(network, deterministic=False)
File "/opt/data/penggao/deep_segmentation/FRRN/dltools/hybrid_training.py", line 18, in get_split_outputs
all_outputs = lasagne.layers.get_output(network.output_layers + sum(network.splits, []), **kwargs)
File "/usr/local/lib/python3.5/site-packages/lasagne/layers/helper.py", line 191, in get_output
all_outputs[layer] = layer.get_output_for(layer_inputs, **kwargs)
File "/opt/data/penggao/deep_segmentation/FRRN/dltools/layers.py", line 36, in get_output_for
return T.nnet.abstract_conv.bilinear_upsampling(input, self.factor)
File "/usr/local/lib/python3.5/site-packages/theano/tensor/nnet/abstract_conv.py", line 569, in bilinear_upsampling
row * ratio, col * ratio))
File "/usr/local/lib/python3.5/site-packages/theano/tensor/var.py", line 327, in reshape
return theano.tensor.basic.reshape(self, shape, ndim=ndim)
File "/usr/local/lib/python3.5/site-packages/theano/tensor/basic.py", line 4526, in reshape
newshape = as_tensor_variable(newshape)
File "/usr/local/lib/python3.5/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', <class 'tuple'>)

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