Problem with running
sportbilly13 opened this issue · 6 comments
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
@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.
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
@sportbilly13
Did you modify the input placeholder to a smaller size? (eg. 55x55 as I see in your output?)
It should be 227x227.
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
@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?
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