Fred,
I used theano.sandbox.cuda.dnn import dnn_conv3d instead of
theano.tensor.nnet.conv3d2d.conv3d
It works with floatX=float32 and device=gpu but it doesn't work with
floatX=float16 and device=cuda:
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using
dtype float16 for variable None
I also tried to put precision='float16' in dnn_conv3d but nothing changed.
out = dnn_conv3d(
img=input,
kerns=self.W,
border_mode='valid',
subsample=(1, 1, 1),
conv_mode='conv',
direction_hint=None,
workmem=None,
algo=None,
precision=None
)
This is the output testing the small 3dconvnet:
Python 2.7.12 |Anaconda custom (64-bit)| (default, Jul 2 2016, 17:42:40)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
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>>>
runfile('/home/luca/data/DeepLearningTutorials/Theano-3D-ConvNet-master/convnet3d/core/run_multi_conv_t.py',
wdir='/home/luca/data/DeepLearningTutorials/Theano-3D-ConvNet-master/convnet3d/core')
Mapped name None to device cuda: GeForce 840M
Using cuDNN version 5103 on context None
/home/luca/data/Theano-master/theano/tensor/signal/downsample.py:6:
UserWarning: downsample module has been moved to the
theano.tensor.signal.pool module.
"downsample module has been moved to the theano.tensor.signal.pool
module.")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File
"/home/luca/anaconda2/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py",
line 714, in runfile
execfile(filename, namespace)
File
"/home/luca/anaconda2/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py",
line 81, in execfile
builtins.execfile(filename, *where)
File
"/home/luca/data/DeepLearningTutorials/Theano-3D-ConvNet-master/convnet3d/core/run_multi_conv_t.py",
line 33, in <module>
run_experiments()
File
"/home/luca/data/DeepLearningTutorials/Theano-3D-ConvNet-master/convnet3d/core/run_multi_conv_t.py",
line 26, in run_experiments
Zoom=0.5
File "mpr_convnet_class_t.py", line 171, in __init__
b )
File "cuddn_convnet3d.py", line 100, in __init__
precision=None
File "/home/luca/data/Theano-master/theano/sandbox/cuda/dnn.py", line
1283, in dnn_conv3d
img = gpu_contiguous(img)
File "/home/luca/data/Theano-master/theano/gof/op.py", line 602, in
__call__
node = self.make_node(*inputs, **kwargs)
File "/home/luca/data/Theano-master/theano/sandbox/cuda/basic_ops.py",
line 3963, in make_node
input = as_cuda_ndarray_variable(input)
File "/home/luca/data/Theano-master/theano/sandbox/cuda/basic_ops.py",
line 46, in as_cuda_ndarray_variable
return gpu_from_host(tensor_x)
File "/home/luca/data/Theano-master/theano/gof/op.py", line 602, in
__call__
node = self.make_node(*inputs, **kwargs)
File "/home/luca/data/Theano-master/theano/sandbox/cuda/basic_ops.py",
line 139, in make_node
dtype=x.dtype)()])
File "/home/luca/data/Theano-master/theano/sandbox/cuda/type.py", line
95, in __init__
(self.__class__.__name__, dtype, name))
TypeError: CudaNdarrayType only supports dtype float32 for now. Tried using
dtype float16 for variable None
>>>
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