Problem with running

[sportbilly13]

Hello Wei
I quite new in neural networks. I tried to run the code with not many data just to see how it will run and I am getting this error
ValueError: Dimensions must be equal, but are 48 and 27 for 'conv2/Conv2D' (op: 'Conv2D') with input shapes: [?,27,27,48], [?,27,27,48].
I am running in Puthon3.5.
Thanks
Vasilis

[WeiTang114]

@sportbilly13
Could you paste more messages?
At which line do you get this error?
The model does not use channel 48 at any layer so this is weird.

[sportbilly13]

The console I am getting
start loading data
dataset inited
total size: 4
dataset inited
total size: 4
done loading data, time= 0.0006747245788574219
train() called
training size: 4
conv1 [None, 55, 55, 96]
pool1 [None, 27, 27, 96]
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/common_shapes.py", line 671, in _call_cpp_shape_fn_impl
input_tensors_as_shapes, status)
File "/usr/lib/python3.5/contextlib.py", line 66, in exit
next(self.gen)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimensions must be equal, but are 48 and 27 for 'conv2/Conv2D' (op: 'Conv2D') with input shapes: [?,27,27,48], [?,27,27,48].

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 190, in
main(sys.argv)
File "train.py", line 179, in main
train(dataset_train, dataset_val, FLAGS.weights, FLAGS.caffemodel)
File "train.py", line 57, in train
fc8 = model.inference_multiview(view_, globals.NUM_CLASSES, keep_prob_)
File "/home/sportbilly/workspace/mvcnn/model.py", line 142, in inference_multiview
conv2 = _conv('conv2', pool1, [5, 5, 96, 256], group=2, reuse=reuse)
File "/home/sportbilly/workspace/mvcnn/model.py", line 88, in _conv
output_groups = [convolve(i,k) for i, k in zip(input_groups, kernel_groups)]
File "/home/sportbilly/workspace/mvcnn/model.py", line 88, in
output_groups = [convolve(i,k) for i, k in zip(input_groups, kernel_groups)]
File "/home/sportbilly/workspace/mvcnn/model.py", line 71, in
convolve = lambda i, k: tf.nn.conv2d(i,k,strides, padding=padding)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 403, in conv2d
data_format=data_format, name=name)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 768, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 2338, in create_op
set_shapes_for_outputs(ret)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1719, in set_shapes_for_outputs
shapes = shape_func(op)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1669, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimensions must be equal, but are 48 and 27 for 'conv2/Conv2D' (op: 'Conv2D') with input shapes: [?,27,27,48], [?,27,27,48].

I think in the def_conv the time it is called for the conv2 layer it gets in the else statement and stops at the line of
output_groups = [convolve(i,k) for i, k in zip(input_groups, kernel_groups)] line 88
Thanks

[WeiTang114]

@sportbilly13
Did you modify the input placeholder to a smaller size? (eg. 55x55 as I see in your output?)
It should be 227x227.

[sportbilly13]

No
In the def train
view_ = tf.placeholder('float32', shape=(None, V, 227, 227, 3), name='im0')

and in the model is call the conv1
conv1 = _conv('conv1', view, [11, 11, 3, 96], [1, 4, 4, 1], 'VALID', reuse=reuse)
Thanks

[WeiTang114]

@sportbilly13
I tested conv2d and find while I do this I get the same error:

a = tf.placeholder('float32', [None, 27,27,48])
k = tf.Variable(np.zeros((5,5,48,256)), dtype='float32')

# This get the same error with yours
tf.nn.conv2d(a,a,[1,1,1,1], padding='SAME')

# This is fine
tf.nn.conv2d(a,k,[1,1,1,1], padding='SAME')

Thus I guess the reason of the error is you convolve(i, k) at line 88 unexpectedly runs like convolve(i, i). I did not get how this happen and need more testing. Maybe it's from some difference between python2 and python3? (I'm using python2.7). Could you try it with python2?

[sportbilly13]

Thanks very much
I will try it with python 2 and also search a little bit more if I could find something.
I will let you know