Merge pull request #758 from peastman/convert

    elif self.summary_op == 'histogram':

      tf.summary.histogram(self.name, self.tb_input, self.collections)

  def _as_graph_element(self):

    return self.out_tensor._as_graph_element()

def _convert_layer_to_tensor(value, dtype=None, name=None, as_ref=False):

  return tf.convert_to_tensor(value.out_tensor, dtype=dtype, name=name)

tf.register_tensor_conversion_function(Layer, _convert_layer_to_tensor)

class TensorWrapper(Layer):

  """Used to wrap a tensorflow tensor."""

      out_tensor = Squeeze(squeeze_dims=1)(tf.constant(value1))

      result = out_tensor.eval()

      assert result.shape == (2,)

  def test_convert_to_tensor(self):

    """Test implicit conversion of Layers to Tensors."""

    v = Variable(np.array([1.5]))

    v.create_tensor()

    with self.test_session() as sess:

      sess.run(tf.global_variables_initializer())

      result = sess.run(v)

      assert result == 1.5

      result = sess.run(tf.gradients(v, v))

      assert result[0] == 1.0