torch.jit.save(model_scripted, "/Users/my_user_name/model.pt") the exported model is saved by this layout: TorchScript Models An TorchScript model is a single file that by default must be named model.pt. This default name can be overridden using the default_model_filename property in th...
importtorchfromtorchvision.modelsimportresnet18classEncoder(nn.Module):def__init__(self,**kwargs):super().__init__()self.encoder=resnet18(**kwargs)@torch.no_grad()defforward(self,x):features=[]x=self.encoder.conv1(x)x=self.encoder.bn1(x)features.append(self.encoder.relu(x))features....
model=HRNet(nclass=2, backbone_name="hrnet_w30") traced_cell=torch.jit.script(model) Here you have the input needed: img = PILImage.create("inputImage.png") aux=Resize((1002,1002))(img) my_transforms = transforms.Compose([transforms.ToTensor(), transforms.Normalize( [0.485, 0.456, 0.4...
You may get an error'RecursiveScriptModule' object has no attribute 'training'when you try to convert your TorchScript into ONNX like the following: importtorch# loading your TorchScriptmodel=torch.jit.load("model.pt")# converting the model to ONNXdummy_input=...torch.onnx.export(model,dum...
🐛 Describe the bug An INTERNAL ASSERT error will be raised when permuting the inputs of a jit scripted graph with mismatched indices. The code is as follows: import numpy as np import torch @torch.jit.script def foo(i, j, k): pass g = fo...
Could not find any similar ops to torchvision::nms. This op may not exist or may not be currently supported in TorchScript. To Reproduce Steps to reproduce the behavior: model.eval() model = torch.jit.script(model) torch.jit.save(model, PATH_MODEL + 'model.pt') ...