input size and weight size are mismatched - 代码天地

input size and weight size are mismatched

企业开发 2023-10-01 01:30:25 阅读次数: 0

使用TVM转tflite模型时，报如下错误：

File "xxx/python/tvm/relay/frontend/tflite.py", line 729, in convert_fully_connected
"input size and weight size are mismatched"

AssertionError: input size and weight size are mismatched

经排查，使用了超过二维的keras的Dense层，tvm转模型时，只支持包括batch维度在内2维的全连接，可以用1x1的Conv2d替代全连接，然后reshape，再输出

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转载自blog.csdn.net/bcfd_yundou/article/details/103530419

input size and weight size are mismatched

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

Size

Input Size VS Time Complexity

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

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

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

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

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

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

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

RuntimeError: view size is not compatible with input tensor‘s size and stride

pytorch lstm input_size, hidden_size说明

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

input 的size=“”属性和style="width:" 的区别

mongo_input_split_size的調整

错误AssertionError: size of input tensor and input format are different

AssertionError: size of input tensor and input format are different.

insert size and fragment size

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pytorch 训练时错误size mismatch for module_list.88.Conv2d.weight: copying a param with shape torch.Size

size mismatch for roi_heads.box_predictor.cls_score.weight: copying a param with shape torch.Size([9

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

一步真实解决RuntimeError: view size is not compatible with input tensor‘s size and stride

解决ValueError: Expected input batch_size (40) to match target batch_size (8).

完美解决RuntimeError: view size is not compatible with input tensor‘s size and stride.

RuntimeError: view size is not compatible with input tensor‘s size and stride解决办法

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