Open LiangGaoUser opened 4 years ago
Aha , not long before i get the solution .
not install graphviz on my local computer and anaconda environment
Step one: install graphviz on the conda env with the pip install graphviz or conda install graphviz
Step two: download and install graphviz from the [https://www2.graphviz.org/Packages/stable/windows/10/cmake/Release/x64/](url)
Step three: init the graphviz in the local computer with the cmd doc -t
Step four: Add C:\Program Files (x86)\Graphviz2.38\bin to User path
Step five: Add C:\Program Files (x86)\Graphviz2.38\bin\dot.exe to System Path
@hi can you be more specific about this step please? Step three: init the graphviz in the local computer with the cmd doc -t
**--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in 1 alexnet_model = torchvision.models.alexnet() ----> 2 tw.draw_model(alexnet_model, [1, 3, 224, 224])
E:\anaconda3\envs\torch_tensorwatch\lib\site-packages\tensorwatch__init__.py in draw_model(model, input_shape, orientation, png_filename) 33 def draw_model(model, input_shape=None, orientation='TB'): #orientation = 'LR' for landscpe 34 from .model_graph.hiddenlayer import graph ---> 35 g = graph.build_graph(model, input_shape, orientation=orientation) 36 return g 37
E:\anaconda3\envs\torch_tensorwatch\lib\site-packages\tensorwatch\model_graph\hiddenlayer\pytorch_draw_model.py in draw_graph(model, args)
E:\anaconda3\envs\torch_tensorwatch\lib\site-packages\tensorwatch\model_graph\hiddenlayer\pytorch_draw_model.py in draw_img_classifier(model, dataset, display_param_nodes, rankdir, styles, input_shape)
E:\anaconda3\envs\torch_tensorwatch\lib\site-packages\tensorwatch\model_graph\hiddenlayer\summary_graph.py in init(self, model, dummy_input, apply_scope_name_workarounds)
E:\anaconda3\envs\torch_tensorwatch\lib\site-packages\tensorwatch\model_graph\hiddenlayer\summary_graph.py in __add_param(self, n)
AttributeError: 'torch._C.Value' object has no attribute 'debugName'**
python 3.6 torch 1.1.0 torchvision 0.3.0 tensorwatch 0.9.0