Comments (6)
vbapst
commented on May 22, 2024
Hi Farshid,
can you provide a more complete stack trace ? Thanks.
from graph_nets.
FarshidShekari
commented on May 22, 2024
Hi @vbapst
This is my stack trace:
Traceback (most recent call last):
File "C:/Users/Farshid/PycharmProjects/clique/Main2.py", line 112, in <module>
output_ops_tr = model(input_ph, num_processing_steps_tr)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 389, in __call__
outputs, subgraph_name_scope = self._template(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 360, in __call__
return self._call_func(args, kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 311, in _call_func
result = self._func(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 246, in _build_wrapper
output = self._build(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 122, in _build
latent = self._encoder(input_op)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 389, in __call__
outputs, subgraph_name_scope = self._template(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 360, in __call__
return self._call_func(args, kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 311, in _call_func
result = self._func(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 246, in _build_wrapper
output = self._build(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 56, in _build
return self._network(inputs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 389, in __call__
outputs, subgraph_name_scope = self._template(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 360, in __call__
return self._call_func(args, kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 311, in _call_func
result = self._func(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 246, in _build_wrapper
output = self._build(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\modules.py", line 366, in _build
edges=self._edge_model(graph.edges),
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 389, in __call__
outputs, subgraph_name_scope = self._template(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 360, in __call__
return self._call_func(args, kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 311, in _call_func
result = self._func(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 246, in _build_wrapper
output = self._build(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 715, in _build
return self._build_function(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\modules.py", line 342, in <lambda>
lambda x: edge_model_fn()(x), name="edge_model") # pylint: disable=unnecessary-lambda
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 389, in __call__
outputs, subgraph_name_scope = self._template(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 360, in __call__
return self._call_func(args, kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 311, in _call_func
result = self._func(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 246, in _build_wrapper
output = self._build(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\sequential.py", line 103, in _build
net = layer(*net)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 389, in __call__
outputs, subgraph_name_scope = self._template(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 360, in __call__
return self._call_func(args, kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 311, in _call_func
result = self._func(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 246, in _build_wrapper
output = self._build(*args, **kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\nets\mlp.py", line 143, in _build
self._input_shape = tuple(inputs.get_shape().as_list())
AttributeError: 'NoneType' object has no attribute 'get_shape'
originally defined at:
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 39, in make_mlp_model
snt.nets.MLP([LATENT_SIZE] * NUM_LAYERS, activate_final=True),
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\nets\mlp.py", line 81, in __init__
super(MLP, self).__init__(custom_getter=custom_getter, name=name)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 215, in __init__
custom_getter_=self._custom_getter)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 154, in make_template
**kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 224, in make_template_internal
create_graph_function=create_graph_function_)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 281, in __init__
self._stacktrace = traceback.format_stack()[:-2]
originally defined at:
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 40, in make_mlp_model
snt.LayerNorm()
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\sequential.py", line 65, in __init__
super(Sequential, self).__init__(name=name)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 215, in __init__
custom_getter_=self._custom_getter)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 154, in make_template
**kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 224, in make_template_internal
create_graph_function=create_graph_function_)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 281, in __init__
self._stacktrace = traceback.format_stack()[:-2]
originally defined at:
File "C:/Users/Farshid/PycharmProjects/clique/Main2.py", line 110, in <module>
model = models.EncodeProcessDecode(edge_output_size=2, node_output_size=2)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 101, in __init__
self._encoder = MLPGraphIndependent()
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 53, in __init__
global_model_fn=make_mlp_model)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\modules.py", line 342, in __init__
lambda x: edge_model_fn()(x), name="edge_model") # pylint: disable=unnecessary-lambda
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 710, in __init__
super(Module, self).__init__(custom_getter=custom_getter, name=name)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 215, in __init__
custom_getter_=self._custom_getter)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 154, in make_template
**kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 224, in make_template_internal
create_graph_function=create_graph_function_)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 281, in __init__
self._stacktrace = traceback.format_stack()[:-2]
originally defined at:
File "C:/Users/Farshid/PycharmProjects/clique/Main2.py", line 110, in <module>
model = models.EncodeProcessDecode(edge_output_size=2, node_output_size=2)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 101, in __init__
self._encoder = MLPGraphIndependent()
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 53, in __init__
global_model_fn=make_mlp_model)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\modules.py", line 332, in __init__
super(GraphIndependent, self).__init__(name=name)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 215, in __init__
custom_getter_=self._custom_getter)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 154, in make_template
**kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 224, in make_template_internal
create_graph_function=create_graph_function_)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 281, in __init__
self._stacktrace = traceback.format_stack()[:-2]
originally defined at:
File "C:/Users/Farshid/PycharmProjects/clique/Main2.py", line 110, in <module>
model = models.EncodeProcessDecode(edge_output_size=2, node_output_size=2)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 101, in __init__
self._encoder = MLPGraphIndependent()
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 48, in __init__
super(MLPGraphIndependent, self).__init__(name=name)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 215, in __init__
custom_getter_=self._custom_getter)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 154, in make_template
**kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 224, in make_template_internal
create_graph_function=create_graph_function_)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 281, in __init__
self._stacktrace = traceback.format_stack()[:-2]
originally defined at:
File "C:/Users/Farshid/PycharmProjects/clique/Main2.py", line 110, in <module>
model = models.EncodeProcessDecode(edge_output_size=2, node_output_size=2)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\demos\models.py", line 100, in __init__
super(EncodeProcessDecode, self).__init__(name=name)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\sonnet\python\modules\base.py", line 215, in __init__
custom_getter_=self._custom_getter)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 154, in make_template
**kwargs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 224, in make_template_internal
create_graph_function=create_graph_function_)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\template.py", line 281, in __init__
self._stacktrace = traceback.format_stack()[:-2]
from graph_nets.
vbapst
commented on May 22, 2024
Hi Farshid,
you cannot use a GraphIndependent module if your input graph has not node states. Either provide dummy features, or do the initial encoding of your graph yourself.
from graph_nets.
FarshidShekari
commented on May 22, 2024
thank you.
from graph_nets.
alvarosg
commented on May 22, 2024
Alternatively it should be possible to just specify node_model_fn=None, and then the None nodes will be passed directly to the output the GraphIndependent as None.
You will then find a similar problem when you feed the output of GraphIndependent to as input to the next GraphNetwork, and you would have to set to False, the corresponding use_*_nodes parameters via edge_block_opt, node_block_opt, global_block_opt.
In practice, it is much more convenient to just put dummy zero node features in your input GraphsTuple. You can do is as easily as:
graph_with_dummy_nodes = utils_tf.set_zero_node_features(input_graph, node_size=1)
from graph_nets.
FarshidShekari
commented on May 22, 2024
@vbapst I used dummy features but I get below error. In my problem, the input graph has no feature (edges and nodes) but the output graph nodes and edges have one feature:
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.2.4\helpers\pydev\pydevd.py", line 1664, in <module>
main()
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.2.4\helpers\pydev\pydevd.py", line 1658, in main
globals = debugger.run(setup['file'], None, None, is_module)
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.2.4\helpers\pydev\pydevd.py", line 1068, in run
pydev_imports.execfile(file, globals, locals) # execute the script
File "C:\Program Files\JetBrains\PyCharm Community Edition 2018.2.4\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "C:/Users/Farshid/PycharmProjects/clique/Main2.py", line 171, in <module>
theta, input_ph, target_ph)
File "C:\Users\Farshid\PycharmProjects\clique\Helper2.py", line 302, in create_feed_dict
input_graphs = utils_np.networkxs_to_graphs_tuple(inputs)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\utils_np.py", line 343, in networkxs_to_graphs_tuple
return data_dicts_to_graphs_tuple(data_dicts)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\utils_np.py", line 381, in data_dicts_to_graphs_tuple
_check_valid_sets_of_keys(data_dicts)
File "C:\Users\Farshid\AppData\Local\Programs\Python\Python35\lib\site-packages\graph_nets\utils_np.py", line 85, in _check_valid_sets_of_keys
"({} vs {})".format(prev_keys, current_keys))
ValueError: Different set of keys found when iterating over data dictionaries ({'edges', 'nodes', 'n_edge', 'receivers', 'globals', 'n_node', 'senders'} vs {'nodes', 'n_edge', 'receivers', 'globals', 'n_node', 'senders'})
from graph_nets.
Related Issues (20)
- GraphTuple from batched tensors does not offset Senders/Receivers HOT 3
- Support Apple Silicon HOT 6
- Error while importing sonnet about gast HOT 1
- AttributeError: module 'sonnet' has no attribute 'AbstractModule' HOT 3
- issue with passing *_model_kwargs parameter HOT 2
- how to build an heterogeneous graph network? HOT 3
- Question about repeat implementation HOT 2
- Inference - shortest path demo HOT 1
- What's the difference between graph_nets and jraph? HOT 3
- Performance issue in /graph_nets/tests (by P3) HOT 2
- Error when calling trained model: "AttributeError: tuple object has no attribute "as_list" HOT 3
- Performance issue HOT 9
- Training on batches of GraphsTuples? HOT 5
- Is this project still live? HOT 2
- Error while using the placeholder function from utils_tf HOT 1
- ZeroDivsion error? HOT 2
- no output from processor HOT 6
- Issue with understanding HOT 2
- TensorFlow 1 is not supported in Google Colab HOT 1
- Problem with plot_compare_graphs function HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from graph_nets.