myUtils.py 文件源码

def resize_conv(inputs, kernel_shape, bias_shape, strides, w_i, b_i=None, activation=tf.nn.relu):
    height = tf.shape(inputs)[1]
    width = tf.shape(inputs)[2]
    target_height = height * strides[1] * 2
    target_width = width * strides[1] * 2
    resized = tf.image.resize_images(inputs,
                                     size=[target_height, target_width],
                                     method=tf.image.ResizeMethod.NEAREST_NEIGHBOR)
    return conv(resized, kernel_shape, bias_shape, strides, w_i, b_i, activation)


# ??batch norm?????????