code: def conv_output_length(input_length, filter_size, border_mode, stride,
                         dilation=1):
      
      if input_length is None:
          return None
      assert border_mode in {'same', 'valid'}
      dilated_filter_size = filter_size + (filter_size - 1) * (dilation - 1)
      if border_mode == 'same':
          output_length = input_length
      elif border_mode == 'valid':
          output_length = input_length - dilated_filter_size + 1
      return (output_length + stride - 1) // stride
docs: Compute the length of the output sequence after 1D convolution along
          time. Note that this function is in line with the function used in
          Convolution1D class from Keras.
      Params:
          input_length (int): Length of the input sequence.
          filter_size (int): Width of the convolution kernel.
          border_mode (str): Only support `same` or `valid`.
          stride (int): Stride size used in 1D convolution.
          dilation (int)