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When I run:
import tensorwatch as tw
import torchvision.models
alexnet_model = torchvision.models.alexnet()
tw.model_stats(alexnet_model, [1, 3, 224, 224])
there is a strange output,What's wr…
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do you have a sample where the HE was used to encrypt a deep neural network for image classification'
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I tried Alexnet from pytorch but got this error.
import torchvision.models as models
# Load pre-trained AlexNet model
resnet = models.resnet50(pretrained=True)
receptive_field_dict = receptive_…
ratom updated
11 months ago
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Hello. I wonder if the pre-trained vgg-16 and alexnet models are correct. Because when I run ./darknet classifier predict cfg/imagenet1k.data cfg/alexnet.cfg alexnet.weights data/dog.jpg, the results…
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Platform (like ubuntu 16.04/win10): ubuntu 16.04
Python version:2.7.15
Source framework:caffe BVLC with GPU:
Destination framework: pytorch 1.0.1 with GPU
Pre-trained model path:https://gi…
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I'm training an AlexNet encoder for an image classification problem. The model performance is worse with a ray backend and num_workers=4, compared to when it is locally trained or ray with num_workers…
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I want to train SSD on other model,such as Alexnet. And I also try to do this. But I can not train the model successful. How can I train SSD with ALexnet?
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运行训练脚本报错:
(yolov8) PS D:\SR_Code\SSL-main\GAN-Based-SR> python D:\SR_Code\SSL-main\GAN-Based-SR\basicsr\train.py -opt D:\SR_Code\SSL-main\GAN-Based-SR/options/train/LDLSSL/train_LDLSSL_x2.yml --auto_…
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**Is your feature request related to a problem? Please describe.**
Only Nvidia GPUs are supported at the moment, but kubernetes device plugins for other gpus are available eg:
https://intel.github.i…
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When compiling AlexNet.onnx, ResNet50.onnx models using `onnx-mlir --EmitLib AlexNet.onnx` in the onnxmlirczar/onnx-mlir:s390x container, I got the following error:
```
error: reduction dimension mu…