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• 标题：简洁、精准概括您的问题，例如“Insufficient Memory xxx" ”

• 版本、环境信息：    1）PaddlePaddle版本：请提供您的PaddlePaddle版本号，例如1.2 2）系统环境：ubuntu16.04

• 训练信息    1）单卡

• 复现信息：在跑deeplabv3的代码https://github.com/PaddlePaddle/models/tree/develop/fluid/PaddleCV/deeplabv3%2B，)) 想要修改检测的类别数目，修改了models.py中的label_number=9，用官网的预训练模型初始化，将logit的信息打印出来后通道数为19 具体代码如下： train.py `with fluid.program_guard(tp, sp): img = fluid.layers.data( name='img', shape=[3] + image_shape, dtype='float32') label = fluid.layers.data(name='label', shape=image_shape, dtype='int32') logit_9 = deeplabv3p(img) print('logit_9',logit_9)

for i, imgs, labels, names in batches: prev_start_time = time.time() if args.parallel: retv = exe_p.run(fetch_list=[pred.name, loss_mean.name], feed={'img': imgs, 'label': labels}) else: retv = exe.run(tp, feed={'img': imgs, 'label': labels}, fetch_list=[logit_9.name]) print('logit shape: {}'.format(retv[0].shape))

终端训练命令：python train.py --init_weights_path init_params/deeplabv3plus_xception65_initialize.params --save_weights_path output/ --dataset_path ~/Downloads/gaomingda/dataset/baidu_road/终端打印信息：logit_9 name: "conv2d_146.tmp_1" type { type: LOD_TENSOR lod_tensor { tensor { data_type: FP32 dims: -1 dims: 9 dims: 193 dims: 193 } lod_level: 0 } } persistable: false

W1212 14:44:48.281414 13888 device_context.cc:203] Please NOTE: device: 0, CUDA Capability: 52, Driver Version: 9.0, Runtime Version: 9.0 W1212 14:44:48.281466 13888 device_context.cc:210] device: 0, cuDNN Version: 7.0. load from: init_params/deeplabv3plus_xception65_initialize.params total number 18914 /home/gaomingda/baidu_road/deeplabv3+/reader.py:39: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use arr[tuple(seq)] instead of arr[seq]. In the future this will be interpreted as an array index, arr[np.array(seq)], which will result either in an error or a different result. a = a[slices] logit shape: (2, 19, 193, 193) `

• 问题描述：为什么网络的预测通道为9，然而输出的logit为19，这怎么解决呢