cannot run "neon --gpu nervanagpu examples/convnet/i1k-alexnet-fp32.yaml" about neon HOT 2 CLOSED

Please install the latest pycuda from github or from the pycuda website.
The pypi distribution is out of date.

https://github.com/inducer/pycuda

On Monday, June 15, 2015, zhengdong914 [email protected] wrote:

i've installed nervanagpu sucessfully,when i run "neon --gpu nervanagpu
examples/convnet/i1k-alexnet-fp32.yaml" mistakes happens as below:
dsp@dsp:~/neon$ neon --gpu nervanagpu
examples/convnet/i1k-alexnet-fp32.yaml
WARNING:neon.util.persist:deserializing object from:
examples/convnet/i1k-alexnet-fp32.yaml
WARNING:neon.datasets.imageset:Imageset initialized with dtype
2015-06-15 22:35:55,300 WARNING:neon - setting log level to: 20
2015-06-15 22:35:55,385 INFO:gpu - Initialized NervanaGPU with
stochastic_round=None
2015-06-15 22:35:55,385 INFO:gpu - Seeding random number generator with:
None
2015-06-15 22:35:55,386 INFO:init - NervanaGPU backend, RNG seed: None,
numerr: None
2015-06-15 22:35:55,386 INFO:mlp - Layers:
ImageDataLayer d0: 3 x (224 x 224) nodes
ConvLayer conv1: 3 x (224 x 224) inputs, 64 x (55 x 55) nodes, RectLin
act_fn
PoolingLayer pool1: 64 x (55 x 55) inputs, 64 x (27 x 27) nodes, Linear
act_fn
ConvLayer conv2: 64 x (27 x 27) inputs, 192 x (27 x 27) nodes, RectLin
act_fn
PoolingLayer pool2: 192 x (27 x 27) inputs, 192 x (13 x 13) nodes, Linear
act_fn
ConvLayer conv3: 192 x (13 x 13) inputs, 384 x (13 x 13) nodes, RectLin
act_fn
ConvLayer conv4: 384 x (13 x 13) inputs, 256 x (13 x 13) nodes, RectLin
act_fn
ConvLayer conv5: 256 x (13 x 13) inputs, 256 x (13 x 13) nodes, RectLin
act_fn
PoolingLayer pool3: 256 x (13 x 13) inputs, 256 x (6 x 6) nodes, Linear
act_fn
FCLayer fc4096a: 9216 inputs, 4096 nodes, RectLin act_fn
DropOutLayer dropout1: 4096 inputs, 4096 nodes, Linear act_fn
FCLayer fc4096b: 4096 inputs, 4096 nodes, RectLin act_fn
DropOutLayer dropout2: 4096 inputs, 4096 nodes, Linear act_fn
FCLayer fc1000: 4096 inputs, 1000 nodes, Softmax act_fn
CostLayer cost: 1000 nodes, CrossEntropy cost_fn

2015-06-15 22:35:55,386 INFO:batch_norm - BatchNormalization set to train
mode
Traceback (most recent call last):
File "/home/dsp/anaconda/bin/neon", line 6, in
exec(compile(open(file).read(), file, 'exec'))
File "/home/dsp/neon/bin/neon", line 240, in
experiment, result, status = main()
File "/home/dsp/neon/bin/neon", line 207, in main
experiment.initialize(backend)
File "/home/dsp/neon/neon/experiments/fit_predict_err.py", line 62, in
initialize
super(FitPredictErrorExperiment, self).initialize(backend)
File "/home/dsp/neon/neon/experiments/fit.py", line 62, in initialize
self.model.initialize(backend)
File "/home/dsp/neon/neon/models/mlp.py", line 61, in initialize
ll.initialize(kwargs)
File "/home/dsp/neon/neon/layers/convolutional.py", line 39, in initialize
super(ConvLayer, self).initialize(kwargs)
File "/home/dsp/neon/neon/layers/layer.py", line 479, in initialize
self.bn.initialize(kwargs)
File "/home/dsp/neon/neon/transforms/batch_norm.py", line 90, in initialize
self._xhat = self.backend.zeros(self.in_shape, dtype=self.dtype)
File "/home/dsp/neon/neon/backends/gpu.py", line 582, in zeros
return self.ng.zeros(shape, dtype=dtype)
File
"/home/dsp/anaconda/lib/python2.7/site-packages/nervanagpu/nervanagpu.py",
line 483, in zeros
name=name, rounding=self.round_mode)._assign(0)
File
"/home/dsp/anaconda/lib/python2.7/site-packages/nervanagpu/nervanagpu.py",
line 298, in _assign
drv.memset_d32_async(self.gpudata,
AttributeError: 'module' object has no attribute 'memset_d32_async'

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#50.

from neon.

@apark263 thank you! it works!!

from neon.