Skip to content
This repository has been archived by the owner on Jan 3, 2023. It is now read-only.

Error while trying to get outputs of googlenet #5

Open
iaroslav-ai opened this issue Apr 11, 2016 · 6 comments
Open

Error while trying to get outputs of googlenet #5

iaroslav-ai opened this issue Apr 11, 2016 · 6 comments

Comments

@iaroslav-ai
Copy link

I try to get output of googlenet with some randomly generated inputs using a modified version of googlenet_neon.py. I get warning and error messages below. Did I made some mistake or is there a bug? The code that I use is below error messages.

Messages:

2016-04-11 20:42:40,144 - neon.models.model - WARNING - Problems restoring existing RNG state: algorithm must be 'MT19937'
Traceback (most recent call last):
  File "/home/iaroslav/neon-examples/googlenet/demo.py", line 103, in <module>
    model.initialize(test, cost)
  File "/usr/local/lib/python2.7/dist-packages/neon/models/model.py", line 100, in initialize
    prev_input = self.layers.configure(prev_input)
  File "/usr/local/lib/python2.7/dist-packages/neon/layers/container.py", line 257, in configure
    self.layers[0].configure(in_obj)
  File "/usr/local/lib/python2.7/dist-packages/neon/layers/container.py", line 127, in configure
    in_obj = l.configure(in_obj)
  File "/usr/local/lib/python2.7/dist-packages/neon/layers/layer.py", line 615, in configure
    assert isinstance(self.in_shape, tuple)
AssertionError

The code:

https://gist.github.com/iaroslav-ai/949ee0200152236937c4d0b29f70f70e

Assume that googlenet model is located at /home/iaroslav/temp/googlenet.p.

@nervetumer
Copy link
Contributor

The ArrayIterator needs to have the data as a 2D matrix with the dim (N, CHW). So the CHW part needs to be squashed and it needs the shape parameter set to (C, H, W). Try changing line

test = ArrayIterator(np.random.rand(256,224,224,3))

to

test = ArrayIterator(np.random.rand(256, 3_224_224), lshape=(3, 224, 224))

@iaroslav-ai
Copy link
Author

Ah I see
I used now
test = ArrayIterator(np.random.rand(256, 3*224*224), lshape=(3, 224, 224))
I also added in the end
print model.get_outputs(test)
It seems that now neon does something for some time, but then in the get outputs function it gives the error

Traceback (most recent call last):
  File "/home/iaroslav/neon-examples/googlenet/demo.py", line 104, in <module>
    print model.get_outputs(test)
  File "/usr/local/lib/python2.7/dist-packages/neon/models/model.py", line 257, in get_outputs
    (dim0, dim1) = x.shape
AttributeError: 'list' object has no attribute 'shape'

Did I do something wrong again? :) I have my updated code in here

Thanks for your response! :D

@nervetumer
Copy link
Contributor

Could you pull the most recent model zoo repo and try again, I think the model needed to be updated to use the SingleOutputTree

@iaroslav-ai
Copy link
Author

Thanks for your response! I will try to pull the most recent model zoo.

@iaroslav-ai
Copy link
Author

iaroslav-ai commented May 10, 2016

I guess this can be closed due to #3 ?

@nervetumer
Copy link
Contributor

Not sure if this relates to #3. Would be good to make sure that this is working for you.

Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants