在emanet插入一个AFF后，训练正常，评估报错

[loxoo6]

问题确认 Search before asking

• 我已经查询历史issue(包括open与closed)，没有发现相似的bug。I have searched the open and closed issues and found no similar bug report.

Bug描述 Describe the Bug

2023-08-15 17:11:46 [INFO] [TRAIN] epoch: 12, iter: 500/20000, loss: 0.3383, lr: 0.008798, batch_cost: 1.2200, reader_cost: 0.88773, ips: 3.2786 samples/sec | ETA 06:36:30
2023-08-15 17:11:46 [INFO] Start evaluating (total_samples: 60, total_iters: 60)...
Traceback (most recent call last):
File "/home/aistudio/PaddleSeg/tools/train.py", line 262, in
main(args)
File "/home/aistudio/PaddleSeg/tools/train.py", line 238, in main
train(
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddleseg/core/train.py", line 283, in train
mean_iou, acc, _, _, _ = evaluate(
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddleseg/core/val.py", line 161, in evaluate
intersect_area, pred_area, label_area = metrics.calculate_area(
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddleseg/utils/metrics.py", line 57, in calculate_area
pred_area = paddle.concat(pred_area)
File "/opt/conda/envs/python35-paddle120-env/lib/python3.10/site-packages/paddle/tensor/manipulation.py", line 1121, in concat
return _C_ops.concat(input, axis)
ValueError: (InvalidArgument) The axis is expected to be in range of [0, 0), but got 0
[Hint: Expected axis >= -rank && axis < rank == true, but received axis >= -rank && axis < rank:0 != true:1.] (at ../paddle/phi/infermeta/multiary.cc:961)

---

C++ Traceback (most recent call last):

No stack trace in paddle, may be caused by external reasons.

---

Error Message Summary:

FatalError: Process abort signal is detected by the operating system.
[TimeInfo: *** Aborted at 1692090709 (unix time) try "date -d @1692090709" if you are using GNU date ***]
[SignalInfo: *** SIGABRT (@0x3e800000665) received by PID 1637 (TID 0x7fe71a2a0700) from PID 1637 ***]

AFF代码：
import paddle
import paddle.nn as nn

class AFF(nn.Layer):
'''
多特征融合 AFF
'''

def __init__(self, channels=64, r=4):
    super(AFF, self).__init__()
    inter_channels = int(channels // r)

    self.local_att = nn.Sequential(
        nn.Conv2D(channels, inter_channels, kernel_size=1, stride=1, padding=0),
        nn.SyncBatchNorm(inter_channels),
        nn.ReLU(),
        nn.Conv2D(inter_channels, channels, kernel_size=1, stride=1, padding=0),
        nn.SyncBatchNorm(channels),
    )

    self.global_att = nn.Sequential(
        nn.AdaptiveAvgPool2D(1),
        nn.Conv2D(channels, inter_channels, kernel_size=1, stride=1, padding=0),
        nn.SyncBatchNorm(inter_channels),
        nn.ReLU(),
        nn.Conv2D(inter_channels, channels, kernel_size=1, stride=1, padding=0),
        nn.SyncBatchNorm(channels),
    )

    self.sigmoid = nn.Sigmoid()

def forward(self, x, residual):
    xa = x + residual
    xl = self.local_att(xa)
    xg = self.global_att(xa)
    xlg = xl + xg
    wei = self.sigmoid(xlg)

    x = 2 * x * wei + 2 * residual * (1 - wei)
    return x

复现环境 Environment

paddlepaddle：2.5.0
paddleseg：2.7.0
aistudio上面运行的

Bug描述确认 Bug description confirmation

• 我确认已经提供了Bug复现步骤、代码改动说明、以及环境信息，确认问题是可以复现的。I confirm that the bug replication steps, code change instructions, and environment information have been provided, and the problem can be reproduced.

是否愿意提交PR？ Are you willing to submit a PR?

• 我愿意提交PR！I'd like to help by submitting a PR!

[Asthestarsfalll]

是计算metric时出现的问题，请使用从源码安装的方式安装2.8或者develop试试