title: ValueError: Dimensions must be equal, but are 1 and 3 for 'Conv2D' (op: 'Conv2D') with input shapes: [1,400,400,1], [1,3,3,1]
body: <p>i am trying to create a simple one layer convolution for a 2D input the idea is just to have an input image , kernel and an output the code is :</p>
  
  <pre><code>import tensorflow as tf
  import numpy as np
  from PIL import Image
  import matplotlib.pyplot as plt
  
  filename_queue = tf.train.string_input_producer(['/home/ubuntu/test.png']) 
  
  reader = tf.WholeFileReader()
  key, value = reader.read(filename_queue)
  
  my_img = tf.image.decode_png(value) 
  
  init_op = tf.initialize_all_variables()
  sess = tf.InteractiveSession()
  with sess.as_default():
      sess.run(init_op)
  
  coord = tf.train.Coordinator()
  threads = tf.train.start_queue_runners(coord=coord)
  
  for i in range(1): 
    image = my_img.eval() 
  image = tf.cast(image, tf.float64)
  image = tf.expand_dims(image, 0)
  
  K=np.array([[0,1,0],[1,1,1],[0,1,0]]).astype(float)
  K = tf.expand_dims(K, 2)
  K = tf.expand_dims(K, 0)
  
  
  conv = tf.nn.conv2d(
          image,
          K,
          strides=[3, 3, 3, 3],
          padding="SAME")
  </code></pre>
  
  <p>and i am getting this error:</p>
  
  <pre><code>Traceback (most recent call last):
    File "test4.py", line 35, in &lt;module&gt;
      padding="SAME")
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_nn_ops.py", line 396, in conv2d
      data_format=data_format, name=name)
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 759, in apply_op
      op_def=op_def)
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2242, in create_op
      set_shapes_for_outputs(ret)
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1617, in set_shapes_for_outputs
      shapes = shape_func(op)
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1568, in call_with_requiring
      return call_cpp_shape_fn(op, require_shape_fn=True)
    File "/usr/local/lib/python2.7/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/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 675, in _call_cpp_shape_fn_impl
      raise ValueError(err.message)
  ValueError: Dimensions must be equal, but are 1 and 3 for 'Conv2D' (op: 'Conv2D') with input shapes: [1,400,400,1], [1,3,3,1].
  </code></pre>
  
  <p>my input is 400x400x1 and the kernel is 3x3 </p>