Comments (2)
geekac
commented on July 21, 2024
3
model = torchvision.models.vgg16()
hl_graph = hl.build_graph(model, torch.zeros([1, 3, 224, 224]))
hl_graph.save("xxx", format="png")
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philferriere
commented on July 21, 2024
Hi @aikudexiaohai,
If the information provided above doesn't answer your question or you're still facing issues, feel free to add more details to this thread and re-open this issue.
Thanks!
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Related Issues (20)
- AttributeError: module 'torch.onnx' has no attribute '_optimize_trace' HOT 7
- torch._C.Node' object is not subscriptable
- module 'torch.jit' has no attribute '_get_trace_graph' HOT 3
- Pytorch Model Branch Duplication
- AttributeError: module 'torch.jit' has no attribute '_get_trace_graph' HOT 3
- ONNX symbolic expected a constant value of the rand argument
- tensor shapes not displayed in rendered graph HOT 5
- can it show variable name at every node?
- demo pytorch_graph.ipynb not working
- How to display branch nodes / parallel blocks HOT 2
- Not displaying graph as expected in Jupyter Notebook (either during training or after training) HOT 1
- How exactly should look the second parametr?
- build_graph() does not return HOT 2
- AttributeError: 'Digraph' object has no attribute '_repr_svg_' HOT 2
- How to display dimensions and change font to Times HOT 1
- TypeError for Pytorch Model HOT 4
- support yolov5 HOT 2
- Error when trying to print the Model
- Error while trying to run the example
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