Paddle 多维输入CrossEntropyLoss报错

qyuhtwio 于 2021-11-29 发布在 Java

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标题：多维输入CrossEntropyLoss报错
版本、环境信息：

Paddle version: 2.1.2
Paddle With CUDA: True

OS: Deepin 20.2
Python version: 3.7.3

CUDA version: 9.2.148
cuDNN version: None.None.None
Nvidia driver version: 460.39

复现信息：
按照文档：https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/nn/CrossEntropyLoss_cn.html
做一个[5,2,100]的input;再做一个[5,100]的label;即N=5,C=2,d1=100,调用默认loss=paddle.nn.CrossEntropyLoss()
loss(input, label)报错：ValueError: (InvalidArgument) Input(Logits) and Input(Label) should in same shape in dimensions except axis.

[Hint: Expected logits_dims[i] == labels_dims[i], but received logits_dims[i]:2 != labels_dims[i]:100.] (at /paddle/paddle/fluid/operators/softmax_with_cross_entropy_op.cc:150)
[operator < softmax_with_cross_entropy > error]

问题描述：应该是要求logits和label所有对应周必须相等，也就是input的C要等于label的d1；但用paddle.nn.LogSoftmax(axis=1)+paddle.nn.loss.NLLLoss()没这个错误

Paddle

来源：https://github.com/PaddlePaddle/Paddle/issues/35466

2条答案

按热度按时间

6gpjuf901#

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赞(0）回复(0）举报 2021-11-29

fsi0uk1n2#

你好目前CrossEntropyLoss的文档说明确实存在问题，最近已经在develop分支中对其进行了修复