RuntimeError: Given groups=1, weight of size 16 1 3 3, expected input[2, 3, 512, 512] to have 1 chan - 代码天地

RuntimeError: Given groups=1, weight of size 16 1 3 3, expected input[2, 3, 512, 512] to have 1 chan

其他 2021-03-21 05:00:29 阅读次数: 0

pytorch训练代码出现这个错误，这个意思就是图像通道不对，要求1通道，给了3通道，去代码里改下就好了，或者改图像通道。

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转载自blog.csdn.net/qq_20373723/article/details/107978345

RuntimeError: Given groups=1, weight of size 16 1 3 3, expected input[2, 3, 512, 512] to have 1 chan

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

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

Given groups=1,weight of size[512,1024,1,1],expected input[8, 320, 20, 20] to have 1024 channels, bu

pytorch报错：RuntimeError: Given groups=1, weight of size 10 3 3 3, expected input[1, 12, 12, 3]

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

解决：yolov7 RuntimeError: Given groups=1, weight of size [1, 64, 1, 1], expected input[1, 256, 64, 64]

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

yolov5代码显示通道数错误问题RuntimeError: Given groups=1, weight of size 64

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

Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight';

哈希加密算法 MD5,SHA-1,SHA-2,SHA-256,SHA-512,SHA-3,RIPEMD-160

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

RuntimeError: shape '[64, 1, 1, 1]' is invalid for input of size 6400

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

expected 1, was given 6 Query

蓝桥杯第六届立方变自身观察下面的现象,某个数字的立方，按位累加仍然等于自身。 1^3 = 1 8^3 = 512 5+1+2=8 17^3 = 4913 4+9+1+3=17 ...

targets.append(torch.FloatTensor(sample[1])) RuntimeError: given sequence has an invalid size of dimension 2: 0

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

RuntimeError: 1only batches of spatial targets supported (non-empty 3D tensors) but got targets of size

解决 ValueError: Input 0 is incompatible with layer predict_vector_conv1: expected ndim=3, found ndim=2

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

Invalid classes inferred from unique values of `y`. Expected: [0 1 2], got [1 2 3]

RuntimeError: shape ‘[-1, 784]‘ is invalid for input of size 68076

Error: expected lstm_input to have 3 dimensions

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

transformer 4 RuntimeError: Expected tensor for argument #1 ‘indices‘ to have scalar type Long

完美解决 ValueError: Input 0 of layer gru_1 is incompatible with the layer: expected ndim=3,

TypeError: __init__() takes from 1 to 2 positional arguments but 3 were given

builtins.TypeError TypeError: __init__() takes from 1 to 2 positional arguments but 3 were given

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