Issues
- 1
- 0
- 0
Doesn't handle multiple inputs correctly
#204 opened by amaurylancelin - 0
Add "trainable" column
#203 opened by Enmartz - 5
- 0
different ‘Forward/backward pass size’ result on different computer, but with the same code
#202 opened by pcwanan - 0
Double counts parameters if same later called twice.
#201 opened by sjamthe - 0
summary does not work with the torch.device class
#199 opened by Skaifai - 0
- 0
- 0
- 3
Summary of BERT model.
#157 opened by apivovarov - 3
Is not work about 'dict' input?
#161 opened by kdheejb7 - 0
how to get summary of a custom model
#194 opened by bekhzod-olimov - 4
RuntimeError: Failed to run torchsummary. See above stack traces for more details. Executed layers up to: []
#180 opened by huynth1801 - 0
- 0
Failing in the input stage Using Encoder and Decoder Model Architecture (DONUT model)
#192 opened by swapnil-lader - 0
- 3
- 0
when use `Sequential`, it will display double network
#188 opened by iris-qq - 0
AttributeError: 'BertForSequenceClassification' object has no attribute 'layers'
#186 opened by furkaano - 1
Not working on cpu
#179 opened by yazdaniamir38 - 1
deeplabv3_resnet50 summary throws an error
#175 opened by pgrudzien12 - 0
Bug if number of parameters is zero.
#183 opened by levifussell - 2
RuntimeError: Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same
#181 opened by rohan-paul - 1
- 0
About the input_size of summary
#177 opened by UnBuen - 1
Network with two inputs?
#176 opened by rolanvc-gmail - 1
how to pass other parameter in forward
#153 opened by joshylchen - 0
Got error with 3D CNN
#173 opened by zhonhel - 1
- 0
Block if using pytorch-summary
#171 opened by navi2000 - 4
Why do I get '2' as batch size?
#168 opened by Flock1 - 1
RuntimeError: size mismatch, m1: [2 x 256], m2: [64 x 7] at C:/w/b/windows/pytorch/aten/src\THC/generic/THCTensorMathBlas.cu:283
#170 opened by DataXujing - 0
pytoch-lightning not support
#169 opened by iambyd - 2
In transfer learning as fixed feature extractor, all parameters are counted as trainable parameters.
#156 opened by brpy - 3
Cannot get the summary
#162 opened by GuoQuanhao - 1
the package does not count "torch.nn.parameter"
#148 opened by londumas - 1
autoencoder cannot be used
#155 opened by raqueldias - 1
- 1
Save the model summary
#164 opened by arielsolomon - 0
Forward/backward pass size with relu layers
#163 opened by xtyDoge - 2
- 0
bug: in case an axis=-1
#160 opened by hanochk - 1
Summary not working foe DeepLabv3
#154 opened by Walid-Ahmed - 0
torch.Cat() isn't displayed in the summary, inner contents of a block are displayed.
#152 opened by gchhablani - 0
summary batch_size parameter
#151 opened by Pikauba - 0
Maybe a flag to Omit custom nn.Modules
#147 opened by dsantiago - 0
LSTM cannot be used
#143 opened by z-a-f - 0
"Model contains a layer with an unsupported input or output type: {}".format(inputs)
#141 opened by Adnan-annan