Hi,
I am a fresher in theano and linux (Ubuntu 14.04.3 LTS). I installed the
theano based on anaconda this week (PYTHON 3.5), and my .theanorc file is
[global]
floatX=float32
device=cpu
[cuda]
root=/usr/lib/nvidia-cuda-toolkit
[nvcc]
flags=-D_FORCE_INLINES
I tested it via theano.test() today, and got some error messages
(repeatedly) so far (theano.test() is still running):
ERROR (theano.gof.opt): Optimization failure due to: local_softmax_dnn_grad
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File
"/home/norman_lab/anaconda3/lib/python3.5/site-packages/theano/gof/opt.py",
line 1492, in process_node
replacements = lopt.transform(node)
File
"/home/norman_lab/anaconda3/lib/python3.5/site-packages/theano/sandbox/cuda/dnn.py",
line 1696, in local_softmax_dnn_grad
and (isinstance(node.inputs[0].owner.op, HostFromGpu)
AttributeError: 'NoneType' object has no attribute 'op'
BUG IN FGRAPH.REPLACE OR A LISTENER !!>> <class 'TypeError'> ('The type of
the replacement must be compatible with the type of the original
Variable.', Sum{axis=[0], acc_dtype=float64}.0, HostFromGpu.0,
TensorType(int16, vector), TensorType(float32, vector),
'local_gpu_careduce') local_gpu_careduce
ERROR (theano.gof.opt): Optimization failure due to: local_gpu_careduce
ERROR (theano.gof.opt): TRACEBACK:
ERROR (theano.gof.opt): Traceback (most recent call last):
File
"/home/norman_lab/anaconda3/lib/python3.5/site-packages/theano/gof/opt.py",
line 1526, in process_node
fgraph.replace_all_validate(repl_pairs, reason=lopt)
File
"/home/norman_lab/anaconda3/lib/python3.5/site-packages/theano/gof/toolbox.py",
line 259, in replace_all_validate
fgraph.replace(r, new_r, reason=reason, verbose=False)
File
"/home/norman_lab/anaconda3/lib/python3.5/site-packages/theano/gof/fg.py",
line 474, in replace
str(reason))
TypeError: ('The type of the replacement must be compatible with the type
of the original Variable.', Sum{axis=[0], acc_dtype=float64}.0,
HostFromGpu.0, TensorType(int16, vector), TensorType(float32, vector),
'local_gpu_careduce')
I did a lot of search but still cannot find the solution. Can any one help
me out?
Many thanks!
[global]
floatX=float32
device=cpu
[cuda]
root=/usr/lib/nvidia-cuda-toolkit
[nvcc]
flags=-D_FORCE_INLINES
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