Problem of funtion _shortcut

[zhangbo2008]

keras-resnet/resnet.py

Line 70 in 5e9bcca

def _shortcut(input, residual):

In Function _shortcut, two lines
stride_width = int(round(input_shape[ROW_AXIS] / residual_shape[ROW_AXIS]))
stride_height = int(round(input_shape[COL_AXIS] / residual_shape[COL_AXIS]))
and
shortcut = Conv2D(filters=residual_shape[CHANNEL_AXIS],
kernel_size=(1, 1),
strides=(stride_width, stride_height),
padding="valid",
kernel_initializer="he_normal",
kernel_regularizer=l2(0.0001))(input)
The Problem is : Throught the above operation, the shape of shortcut is not equal to residual's.
For example input_shape:3434 residual_shape 1010 and throught the operation above we have shortcut's shape 1212 which is not equal to 1010

[HerlinHawk]

i meet the same problem.