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A PyTorch implementation of EfficientNet

Results 117 EfficientNet-PyTorch issues
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pytorch : 1.4.0a0 + 46f32e1 onnx : 1.6.0 onnx2trt: 7.0 tensorrt: 7.0.0.11 ![image](https://user-images.githubusercontent.com/22209240/72286001-38358700-367f-11ea-82f2-289b5298d886.png) ![image](https://user-images.githubusercontent.com/22209240/72285698-9f067080-367e-11ea-8294-ef4315b8d611.png) Any suggestions on this issue? Thanks

This merge request is related to the bug #278 The class initialization is failed when called using `from_pretrained(.., include_top=False)` function or when the number of classes is not equal to...

Hi all, I want to add a new head for a simple two classes classification task, I will have 2 , 6 classes to classify. How do I add a...

Hi! luke. We are curious about how to calculate the parameter size. When we calculate the parameter size through **thop**, it is far from what is listed in your Readme...

i was trying groupnormalization for efficientnet , my model code is : ``` out_dim = 5 enet_type = 'efficientnet-b0' pretrained_model = { 'efficientnet-b0': '../input/efficientnet-pytorch/efficientnet-b0-08094119.pth' } class enetv2(nn.Module): def __init__(self, backbone,...

Hello, I'm using efficientnet well. When I use this model, the purpose is to extract the activation layer value of the feature extractor part (. In other words, can the...

You have probably done this already, but wanted to try just for fun. I am a beginner, so would love some feedback!

https://github.com/lukemelas/EfficientNet-PyTorch/blob/7e8b0d312162f335785fb5dcfa1df29a75a1783a/efficientnet_pytorch/utils.py#L598 ```python if torch.cuda.is_available(): device = torch.device("cuda") else: device = torch.device("cpu") state_dict = torch.load(weights_path, map_location=device) ```