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I am getting an error when I set the argument ```modnames```.
Here a reproducible example:
```
df
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The original PyTorch model has no bias (only weights) in certain Convo layers but the converted Keras model does have bias respectively. And the Keras model shows no BatchNorm2D layers compared to the…
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Hi,
I converted dymn10_as to pytorch mobile, But mobile output is so different with python.
I checked both torch version and the model file. What may be the problem? Thanks :)
**Expected Behavio…
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请问各位 :
TypeError: Expected string passed to parameter 'tensor_names' of op 'SaveV2', got ['Variable', 'Variable/Adam', 'Variable/Adam_1', 'Variable_1', 'Variable_1/Adam', 'Variable_1/Adam_1', 'Variab…
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Hi everyone,
I'm trying to convert ResNet-34.t7 model to caffe format. But convertion fails at start. Log attached.
Does anyone have ideas what I am doing wrong?
BTW, the same behavior I obtain while…
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Hi, thanks again for sharing this repo for reproducing the awesome results.
I am curious about is the BatchNorm layers folded into preceding Conv or FC layers while inference?
I ran both static an…
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Hi all,
I was trying to use ResNet50 model for mnist digit classification, after training the model i was trying to perform Autoquant operation on the model it is always giving eval accuracy as 0, I…
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### 🐛 Describe the bug
Should linear weight and bias must be of the same dtypes?
For linear, I see for {2,3}d rank tensor, weight and bias dtype mismatch is checked in [addmm](https://github.co…
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## Description
converting onnx to tensorrt, occur [[8] Assertion failed: nbSpatialDims == kernelWeights.shape.nbDims - 2]
![image](https://user-images.githubusercontent.com/3700924/114705050-e421c2…