Created by: yeyupiaoling

环境

• PaddlePaddle 1.4.1

问题

就如下面的代码，如果去掉pool层就可以正常运行，

# 加载库
import paddle.fluid as fluid
import cv2
import numpy as np


# 定义网络
def cnn(img):
    S_conv_1 = fluid.layers.conv2d(input=img, num_filters=24, filter_size=5, act="relu")
    S_conv_pool_1 = fluid.layers.pool2d(input=S_conv_1, pool_size=2, pool_stride=2)
    return S_conv_pool_1


# 定义输入数据的占位符
image = fluid.layers.data(name='image', shape=[-1, 1, None, None], dtype='float32')
prediction = cnn(image)


# 对图片进行预处理
def load_image(path):
    img = cv2.imread(path)
    # 转灰度
    img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
    # 转换成numpy值
    img = np.array(img).astype(np.float32)
    img = img / 255.0
    return img


# 创建一个使用CPU的执行器
place = fluid.CPUPlace()
exe = fluid.executor.Executor(place)
# 进行参数初始化
exe.run(fluid.default_startup_program())

# 定义两个要计算的变量
img = load_image('0a0eb71384f56d77ced5f6dbcfdfac1e.jpg')[np.newaxis, np.newaxis, ]

# 进行运算，并把y的结果输出
result = exe.run(program=fluid.default_main_program(),
                 feed={image.name: img},
                 fetch_list=[prediction])
print(result)

如果不去掉就报错：

paddle.fluid.core.EnforceNotMet: Due to the settings of padding(0), filter_size(2) and stride(2), the output size is less than 0, please check again. Input_size:-1 at [D:\1.4.1\paddle\paddle\fluid\operators\pool_op.cc:40]
PaddlePaddle Call Stacks: