deconv.py 文件源码

def get2d_deconv_output_size(input_height, input_width, filter_height,
                           filter_width, row_stride, col_stride, padding_type):
    """Returns the number of rows and columns in a convolution/pooling output."""
    input_height = tensor_shape.as_dimension(input_height)
    input_width = tensor_shape.as_dimension(input_width)
    filter_height = tensor_shape.as_dimension(filter_height)
    filter_width = tensor_shape.as_dimension(filter_width)
    row_stride = int(row_stride)
    col_stride = int(col_stride)

    # Compute number of rows in the output, based on the padding.
    if input_height.value is None or filter_height.value is None:
      out_rows = None
    elif padding_type == "VALID":
      out_rows = (input_height.value - 1) * row_stride + filter_height.value 
    elif padding_type == "SAME":
      out_rows = input_height.value * row_stride
    else:
      raise ValueError("Invalid value for padding: %r" % padding_type)

    # Compute number of columns in the output, based on the padding.
    if input_width.value is None or filter_width.value is None:
      out_cols = None
    elif padding_type == "VALID":
      out_cols = (input_width.value - 1) * col_stride + filter_width.value
    elif padding_type == "SAME":
      out_cols = input_width.value * col_stride

    return out_rows, out_cols