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

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

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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

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, 2, 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, 2, 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, 2, 1

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

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

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

ValueError: Expected more than 1 value per channel when training

ValueError: Expected more than 1 value per channel when training

ValueError: Expected more than 1 value per channel when training

ValueError: Expected more than 1 value per channel when training

ValueError: Expected more than 1 value per channel when training

ValueError: Expected more than 1 value per channel when training

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

libsvm导入数据的时候出现BUG: ValueError: not enough values to unpack (expected 2, got 1)

torch.Size报错: ValueError: использование целевого размера (torch.Size([128])), который отличается от входного.

RuntimeError: input.size(-1) deve ser igual a input_size. Esperava 5, consegui 21

pytorch报错Expected object of backend CUDA but got backend CPU for sequence element #1 in sequence

TFrecords 制作数据报错： Number of int64 values != expected. Values size: 1 but output shape: [3]

ValueError: 2 colunas passado, os dados transmitidos tinha 1 colunas

При обучении ожидалось более 1 значения на канал, получен входной размер torch.Size

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lidar-input-gpio = ＜&port2a 16 1＞

Die Lösung für dieses beim YOLOv5-Training aufgetretene Problem: ValueError: Das angeforderte Array hat nach 1 Dimension eine inhomogene Form

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

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