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pytorch错误记录
1. Unexpected key(s) in state_dict: "module.backbone.bn1.num_batches_tracked"报错背景:训练:多卡并行(nn.DataParallel),已完成;测试:单卡测试,模型加载时报上述错误;分析原因:在训练时使用多卡并行,保存的是经过nn.DataParallel编译过的模型,这样编译过之后state_dic...原创 2020-03-20 22:06:00 · 1016 阅读 · 0 评论 -
UserWarning: Update your `Model` call to the Keras 2 API:
我的警告信息为:HARRISON_data.py:114: UserWarning: Update your `Model` call to the Keras 2 API: `Model(outputs=Tensor("lo..., inputs=[<tf.Tenso...)` output=loss)我的源代码为 model = Model( input=[pos...转载 2018-04-12 10:19:48 · 6166 阅读 · 0 评论 -
InvalidArgumentError: Inputs to operation loss/Classification_loss/logistic_loss/Select of type Sele
Epoch 1/10013097/13097 [==============================] - 5262s 402ms/step - loss: 2.8854 - acc: 0.8722 - iou: 0.2555 - val_loss: 5.3026 - val_acc: 0.9111 - val_iou: 0.2434Epoch 00001: saving mode...原创 2019-08-01 09:45:29 · 1337 阅读 · 0 评论 -
ValueError: Error when checking : expected input_1 to have 4 dimensions, but got array with shape (2
The input shape you have defined is the shape of a single sample. The model itself expects some array of samples as input (even if its an array of length 1).Your output really should be 4-d, with the ...原创 2018-03-20 21:14:16 · 10281 阅读 · 0 评论 -
one of the variables needed for gradient computation has been modified by an inplace operation
Pytorch 运行错误:RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation主要原因是由原位运算操作引起的梯度反向传播的问题,检查代码中是否有 inplace=True 或者 x += y 这一类的原位操作,修改为inp...原创 2019-01-22 10:32:26 · 6256 阅读 · 0 评论 -
TypeError: only integer scalar arrays can be converted to a scalar index
1.问题描述使用np.random.choice创建list,使用这个list作为data这个list的索引。 出现TypeError: only integer scalar arrays can be converted to a scalar index错误。 原始语句:train_indices = np.random.choice(35444, 24500, replace...转载 2019-02-21 15:23:03 · 1189 阅读 · 0 评论