[theano-users] Regarding theano error

[SNEHA RAJU BUNDELE]

Dear Sir/Mam,

I am working on the UNET model with theano as backend with cuda8 and
cudnn5.1 configuration. It throws following error. please advice me fore
solving this.


I am working on UNET model.I am getting below error. Can someone please
advise further.

RuntimeError: error getting worksize: CUDNN_STATUS_BAD_PARAM
Apply node that caused the error: GpuDnnConv{algo='small', inplace=True,
num_groups=1}(GpuContiguous.0, GpuContiguous.0,
GpuAllocEmpty{dtype='float32', context_name=None}.0,
GpuDnnConvDesc{border_mode='half', subsample=(1, 1), dilation=(1, 1),
conv_mode='conv', precision='float32', num_groups=1}.0, Constant{1.0},
Constant{0.0})
Toposort index: 402
Inputs types: [GpuArrayType(float32, 4D), GpuArrayType(float32, 4D),
GpuArrayType(float32, 4D), <theano.gof.type.CDataType object at
0x7f9e7941f5d0>, Scalar(float32), Scalar(float32)]
Inputs shapes: [(2, 1, 512, 512), (32, 1, 3, 3), (2, 32, 512, 512), 'No
shapes', (), ()]
Inputs strides: [(1048576, 1048576, 2048, 4), (36, 36, 12, 4), (33554432,
1048576, 2048, 4), 'No strides', (), ()]
Inputs values: ['not shown', 'not shown', 'not shown', <capsule object NULL
at 0x7f9e5708fe10>, 1.0, 0.0]
Outputs clients: [[GpuElemwise{add,no_inplace}(GpuDnnConv{algo='small',
inplace=True, num_groups=1}.0, InplaceGpuDimShuffle{x,0,x,x}.0)]]

Backtrace when the node is created(use Theano flag traceback.limit=N to
make it longer):
File
"/home/coe/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py",
line 705, in runfile
execfile(filename, namespace)
File
"/home/coe/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py",
line 94, in execfile
builtins.execfile(filename, *where)
File "/home/coe/UNET_CODE FROM
GITHUB/Luna2016-Lung-Nodule-Detection-master/UNET/Code/LUNA_unet.py", line
208, in
model = train(False)
File "/home/coe/UNET_CODE FROM
GITHUB/Luna2016-Lung-Nodule-Detection-master/UNET/Code/LUNA_unet.py", line
188, in train
model = get_unet_small(options)
File "/home/coe/UNET_CODE FROM
GITHUB/Luna2016-Lung-Nodule-Detection-master/UNET/Code/LUNA_unet.py", line
72, in get_unet_small
conv1 = Convolution2D(32, options.filter_width, options.stride,
activation='elu',border_mode='same')(inputs)
File
"/home/coe/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py",
line 617, in *call*
output = self.call(inputs, **kwargs)
File
"/home/coe/anaconda2/lib/python2.7/site-packages/keras/layers/convolutional.py",
line 168, in call
dilation_rate=self.dilation_rate)
File
"/home/coe/anaconda2/lib/python2.7/site-packages/keras/backend/theano_backend.py",
line 1916, in conv2d
filter_dilation=dilation_rate)

HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and
storage map footprint of this apply node.

Thanks in advance..!!

[Pascal Lamblin]

That particular convolution might not be supported by cuDNN.
I would advise you to update cuDNN to a more recent version if possible,
it will probably help.

Post by SNEHA RAJU BUNDELE
Dear Sir/Mam,
I am working on the UNET model with theano as backend with cuda8 and
cudnn5.1 configuration. It throws following error. please advice me fore
solving this.
I am working on UNET model.I am getting below error. Can someone please
advise further.
RuntimeError: error getting worksize: CUDNN_STATUS_BAD_PARAM
Apply node that caused the error: GpuDnnConv{algo='small', inplace=True,
num_groups=1}(GpuContiguous.0, GpuContiguous.0,
GpuAllocEmpty{dtype='float32', context_name=None}.0,
GpuDnnConvDesc{border_mode='half', subsample=(1, 1), dilation=(1, 1),
conv_mode='conv', precision='float32', num_groups=1}.0, Constant{1.0},
Constant{0.0})
Toposort index: 402
Inputs types: [GpuArrayType(float32, 4D), GpuArrayType(float32, 4D),
GpuArrayType(float32, 4D), <theano.gof.type.CDataType object at
0x7f9e7941f5d0>, Scalar(float32), Scalar(float32)]
Inputs shapes: [(2, 1, 512, 512), (32, 1, 3, 3), (2, 32, 512, 512), 'No
shapes', (), ()]
Inputs strides: [(1048576, 1048576, 2048, 4), (36, 36, 12, 4),
(33554432, 1048576, 2048, 4), 'No strides', (), ()]
Inputs values: ['not shown', 'not shown', 'not shown', <capsule object
NULL at 0x7f9e5708fe10>, 1.0, 0.0]
Outputs clients: [[GpuElemwise{add,no_inplace}(GpuDnnConv{algo='small',
inplace=True, num_groups=1}.0, InplaceGpuDimShuffle{x,0,x,x}.0)]]
Backtrace when the node is created(use Theano flag traceback.limit=N to
File
"/home/coe/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py",
line 705, in runfile
execfile(filename, namespace)
File
"/home/coe/anaconda2/lib/python2.7/site-packages/spyder/utils/site/sitecustomize.py",
line 94, in execfile
builtins.execfile(filename, *where)
File "/home/coe/UNET_CODE FROM
GITHUB/Luna2016-Lung-Nodule-Detection-master/UNET/Code/LUNA_unet.py",
line 208, in
model = train(False)
File "/home/coe/UNET_CODE FROM
GITHUB/Luna2016-Lung-Nodule-Detection-master/UNET/Code/LUNA_unet.py",
line 188, in train
model = get_unet_small(options)
File "/home/coe/UNET_CODE FROM
GITHUB/Luna2016-Lung-Nodule-Detection-master/UNET/Code/LUNA_unet.py",
line 72, in get_unet_small
conv1 = Convolution2D(32, options.filter_width, options.stride,
activation='elu',border_mode='same')(inputs)
File
"/home/coe/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py",
line 617, in *call*
output = self.call(inputs, **kwargs)
File
"/home/coe/anaconda2/lib/python2.7/site-packages/keras/layers/convolutional.py",
line 168, in call
dilation_rate=self.dilation_rate)
File
"/home/coe/anaconda2/lib/python2.7/site-packages/keras/backend/theano_backend.py",
line 1916, in conv2d
filter_dilation=dilation_rate)
HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint
and storage map footprint of this apply node.
Thanks in advance..!!
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