讲解Expected more than 1 value per channel when training, got input size torch.Size - 代码天地

讲解Expected more than 1 value per channel when training, got input size torch.Size

企业开发 2023-12-16 19:51:37 阅读次数: 0

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转载自blog.csdn.net/q7w8e9r4/article/details/134946108

讲解Expected more than 1 value per channel when training, got input size torch.Size

ValueError: Expected more than 1 value per channel when training, got input size torch.Size

Expected more than 1 value per channel when training, got input size torch.Size

Expected more than 1 value per channel when training, got input size torch.Size([1, 9, 1, 1])

ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 2, 1

ValueError: Expected more than 1 value per channel when training, got input size torch.Size([1, 8, 1

ValueError: Expected more than 1 value per channel when training, got input size ...

ValueError: Expected more than 1 value per channel when training, got input size [1, 512, 1, 1]

pytorch报错：ValueError: Expected more than 1 value per channel when training, got input size [1,8,1,1]

解决ValueError: Expected more than 1 value per channel when training, got input size [1, 256, 1, 1]

ValueError: Expected more than 1 value per channel when training, got input size [1, 16, 1, 1]（解决方案）

pytorch报错：ValueError: Expected more than 1 value per channel when training, got input size [1, 768,1

ValueError: Expected more than 1 value per channel when training

解决报错：ValueError: Expected more than 1 value per channel when training

【Pytorch警告】Using a target size (torch.Size([])) that is different to the input size (torch.Size([1])

ValueError: Expected target size (64, 31), got torch.Size([64, 63])

torch.Size报错：ValueError: Using a target size (torch.Size([128])) that is different to the input

【报错处理】RuntimeError: input.size(-1) must be equal to input_size. Expected 5, got 21

Pytorch运行错误: groups=1, weight of size [8, 1, 3, 3], expected input[1, 3, 512, 512] to have 1 channel

异常错误示例：weight of size [32, 512, 1], expected input[256, 1024, 1] to have 512 channels, but got 1024

Error when checking input: expected input_1 to have 3 dimensions, but got array with shape (37, 30）

ValueError: need more than 1 value to unpack

Sizes of tensors must match except in dimension 1. Expected size 24 but got size 25 for tensor numbe

记录解决RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 27 but got size

when checking input expected input_image_meta to have shape (None,14)but got array with shape (1,15)

DDP报错ValueError: batch_size should be a positive integer value, but got batch_size=＜torch.utils.data

springboot打包报错invalid entry size (expected 2 but got 1 bytes)

Kernel size can‘t be greater than actual input size的解决方案

RuntimeError: Given groups=1, weight of size [64, 3, , ], expected input[1, 4, , ] to have 3

torch.randint(len(training_data), size=(1,)).item()的理解

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