Comments (7)
khatchad
commented on August 25, 2024
1
OK, thanks. Can we update the title here to reflect the problem? Is it that tensors aren't recognized if TensorFlow is imported using a wildcard?
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khatchad
commented on August 25, 2024
What is the expected and actual behavior here?
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tatianacv
commented on August 25, 2024
The analysis comes up blank where we would expect it to be
answer:
[Node: <Code body of function Lscript filename.py/add> Context: CallStringContext: [ script filename.py.do()LRoot;@101 ], v2][{[D:Symbolic,n, D:Compound,[D:Constant,28, D:Constant,28]] of pixel}]
[Node: <Code body of function Lscript filename.py> Context: CallStringContext: [ com.ibm.wala.FakeRootClass.fakeRootMethod()V@2 ], v250][{[D:Symbolic,n, D:Compound,[D:Constant,28, D:Constant,28]] of pixel}]
[Node: <Code body of function Lscript filename.py/add> Context: CallStringContext: [ script filename.py.do()LRoot;@101 ], v3][{[D:Symbolic,n, D:Compound,[D:Constant,28, D:Constant,28]] of pixel}]
[Node: <Code body of function Lscript filename.py> Context: CallStringContext: [ com.ibm.wala.FakeRootClass.fakeRootMethod()V@2 ], v257][{[D:Symbolic,n, D:Compound,[D:Constant,28, D:Constant,28]] of pixel}]
[Ret-V:Node: synthetic < PythonLoader, Ltensorflow/functions/ones, do()LRoot; > Context: CallStringContext: [ script filename.py.do()LRoot;@100 ]][{[D:Symbolic,n, D:Compound,[D:Constant,28, D:Constant,28]] of pixel}]
[Ret-V:Node: synthetic < PythonLoader, Ltensorflow/functions/ones, do()LRoot; > Context: CallStringContext: [ script filename.py.do()LRoot;@96 ]][{[D:Symbolic,n, D:Compound,[D:Constant,28, D:Constant,28]] of pixel}]
[Node: synthetic < PythonLoader, Ltensorflow/functions/ones, do()LRoot; > Context: CallStringContext: [ script filename.py.do()LRoot;@100 ], v5][{[D:Symbolic,n, D:Compound,[D:Constant,28, D:Constant,28]] of pixel}]
[Node: synthetic < PythonLoader, Ltensorflow/functions/ones, do()LRoot; > Context: CallStringContext: [ script filename.py.do()LRoot;@96 ], v5][{[D:Symbolic,n, D:Compound,[D:Constant,28, D:Constant,28]] of pixel}]
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khatchad
commented on August 25, 2024
How do you know that is what is expected?
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tatianacv
commented on August 25, 2024
This is the result of the analysis of the working case. By working case, I mean the same code as the example above, just with an import that is recognized.
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khatchad
commented on August 25, 2024
I would think that this problem is not specific to TF.
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khatchad
commented on August 25, 2024
PyDev seems to have a very good handle on this when performing completions.
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Related Issues (20)
- Importing a module on the PYTHONPATH doesn't work
- Importing a module for a package on a PYTHONPATH doesn't work
- Resolving relative imports does not consider the entire module path HOT 2
- No argument expansion for custom decorators with function parameters HOT 1
- Missing custom decorators with decorator parameters HOT 4
- Missing decorated functions whose decorators simply return the function HOT 4
- Log decorators being used
- Not tracking tensors returned by `tf.reshape()` for data sources other than MNIST HOT 5
- Decorated functions specifying a PYTHONPATH don't show up in the call graph HOT 1
- Support TensorFlow unit test entrypoints
- Combine Pytest analysis classes with basic Python analysis
- Module initialization code not reflected in importing script
- Potentially redundant global read in IR stemming from `__init__.py` HOT 1
- Incorrect result value
- Support for data classes/`NamedTuple`s HOT 1
- Callable identification should be further up the analysis
- Incorrect import when there are two files with the same name but in different directories HOT 1
- Missing cases for importing scripts from package initialization code
- Intermodule importing using `import` not working (`from ... import ...` works fine)
- Support `tf.test` entrypoints
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