This is a place to ask (and answer) questions about running the Lesson 1 Notebook. You should also check out: the lesson 1 wiki for fixes to a few problems.
I installed latest versions of Theanos, Keras and Anaconda locally on my Windows machine - so I can play with sample data sets without hoping to use the t2.large instance.
At this line:
vgg = Vgg16()
I ran into this error:
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
(Subtensor{int64}.0, Elemwise{add,no_inplace}.0, Elemwise{add,no_inplace}.0, Subtensor{int64}.0)
---------------------------------------------------------------------------
Exception Traceback (most recent call last)
<ipython-input-7-2b6861506a11> in <module>()
----> 1 vgg = Vgg16()
2 # Grab a few images at a time for training and validation.
3 # NB: They must be in subdirectories named based on their category
4 batches = vgg.get_batches(path+'train', batch_size=batch_size)
5 val_batches = vgg.get_batches(path+'valid', batch_size=batch_size*2)
C:\Users\Shetty\DeepLearning_USFCA\vgg16.pyc in __init__(self)
24 self.FILE_PATH = 'http://www.platform.ai/models/'
25 self.vgg_mean = np.array([123.68, 116.779, 103.939]).reshape((3,1,1))
---> 26 self.create()
27 self.get_classes()
28
C:\Users\Shetty\DeepLearning_USFCA\vgg16.pyc in create(self)
72 self.ConvBlock(3, 512)
73
---> 74 model.add(Flatten())
75 self.FCBlock()
76 self.FCBlock()
C:\Users\Shetty\Anaconda\lib\site-packages\keras\keras\models.pyc in add(self, layer)
306 output_shapes=[self.outputs[0]._keras_shape])
307 else:
--> 308 output_tensor = layer(self.outputs[0])
309 if type(output_tensor) is list:
310 raise Exception('All layers in a Sequential model '
C:\Users\Shetty\Anaconda\lib\site-packages\keras\keras\engine\topology.pyc in __call__(self, x, mask)
512 if inbound_layers:
513 # this will call layer.build() if necessary
--> 514 self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
515 input_added = True
516
C:\Users\Shetty\Anaconda\lib\site-packages\keras\keras\engine\topology.pyc in add_inbound_node(self, inbound_layers, node_indices, tensor_indices)
570 # creating the node automatically updates self.inbound_nodes
571 # as well as outbound_nodes on inbound layers.
--> 572 Node.create_node(self, inbound_layers, node_indices, tensor_indices)
573
574 def get_output_shape_for(self, input_shape):
C:\Users\Shetty\Anaconda\lib\site-packages\keras\keras\engine\topology.pyc in create_node(cls, outbound_layer, inbound_layers, node_indices, tensor_indices)
150 output_masks = to_list(outbound_layer.compute_mask(input_tensors[0], input_masks[0]))
151 # TODO: try to auto-infer shape if exception is raised by get_output_shape_for
--> 152 output_shapes = to_list(outbound_layer.get_output_shape_for(input_shapes[0]))
153 else:
154 output_tensors = to_list(outbound_layer.call(input_tensors, mask=input_masks))
C:\Users\Shetty\Anaconda\lib\site-packages\keras\keras\layers\core.pyc in get_output_shape_for(self, input_shape)
400 raise Exception('The shape of the input to "Flatten" '
401 'is not fully defined '
--> 402 '(got ' + str(input_shape[1:]) + '. '
403 'Make sure to pass a complete "input_shape" '
404 'or "batch_input_shape" argument to the first '
Exception: The shape of the input to "Flatten" is not fully defined (got (0, 7, 512). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.
When I ran the identical notebook on the t2.large instance, it worked just fine. Since t2.large also has CPUs, any pointers why I am running into this error?
Thanks.
Try running the steps in part 3 - ‘Create a VGG model from scratch in Keras’. Do you get the same error if you do that?
Yep … unfortunately exactly the same error.
vshets, i can help you with this using Zoom if you’d like. It allows you to share your screen with me. Message me on slack @taro
solved the problem with vshets.
turns out the image_dim_ordering in his ~/.keras/keras.json file was set to “tf” instead of “th”
not sure how that happened but we changed it to “th” and is working now
6 Likes
I tried the installing locally all the required packages on Ubuntu 16.04 locally. But when I tried to import Keras I got an error stating that module tensorflow is missing, although I did install that too.
@sethiavivek2006 you need to follow the instructions on the keras site showing how to change your backend to theano
@jeremy Thanks for the reply. I have followed that and changed my backend to tensorflow as mentioned in this link.
Seth – Are you successfully running Anaconda3 w Python3?
lin
@jeremy @lin.crampton Thanks. I was able to import keras after changing the backend to theano. Previously there was a typo and hence it didn’t work.
It works. Thanks!!!
I’m having an issue I’m hoping someone can help me with :
ImportError Traceback (most recent call last)
in ()
----> 1 import utils; reload(utils)
2 from utils import plots
/home/ubuntu/nbs/utils.py in ()
50
51 from vgg16 import *
—> 52 from vgg16bn import *
53 np.set_printoptions(precision=4, linewidth=100)
54
ImportError: No module named vgg16bn
even though I have vgg16bn.py from the github downloaded into ~/nbs/. I thought it might be a permissions issue, but the acl on vgg16, utils, and vgg16 are the same. I have also tried restarting the python notebook kernel. I appreciate the help!
Be sure that you are in ~/nbs when you run ‘jupyter notebook’. You can run ‘%pwd’ in a cell to check you’re in the right directory.
I fixed the issue, though I am not clear on what caused it. I’ve been connecting to aws via the aws-ssh alias where is when i applied wget to retrieve vgg16bn.py. However, this time I connected with the connect command I saved from the setup_p2.sh , and there I saw the python script was missing. I think the ip address was not stable when i do aws-get-p2 and then aws-ssh. I just remembered you mentioning this in the beginning of lesson 1, so I’ll go back and try to see what I need to do to avoid this issue in the future. Thank you for the quick response!
Hi guys, I tried running the Lesson 1 Notebook on my 2015 MBP (macOS Sierra 10.12.2)
I installed Anaconda/Theano/Keras/Python libraries this way:
Anaconda: Using the installer from https://repo.continuum.io/archive/Anaconda2-4.2.0-MacOSX-x86_64.pkg
Theano: pip install theano
Keras: pip install keras
cv2: conda install -c https://conda.binstar.org/jjhelmus opencv
bcolz: conda install bcolz
When running import utiles, I get the following error:
Googling the error doesn’t give much relevant results. Can anyone help please? Thanks
Edit: Deleted Anaconda and reinstalled using the command line installer and commands from install-gpu.sh and it works now 
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