Raffi Khatchadourian
Raffi Khatchadourian
Consider the following Python code: ```python # test_tf2_dataset8.py import tensorflow as tf def add(a, b): return a + b (x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data() dataset = tf.data.Dataset.from_tensor_slices((x_train, y_train)).shuffle(10000).batch(32) for...
Referring to `self` in a Python summarized function, as far as I can tell, doesn't quite work, because there is no way to refer to the implicit parameter when there's...
Consider the following example: ```python # test.py my_list = list([5, 6]) for element in my_list: print(element) ``` Which results in the following IR: ``` IR of node 2, context CallStringContext:...
Consider the following example: ```python class Test: def __init__(self, value): self.__value = value @property def value(self): return self.__value @value.setter def name(self, number): self.__value = number if __name__ == "__main__": k...
The test data for `com.ibm.wala.cast.python.ml.test` resides in the `data` directory under `com.ibm.wala.cast.python.test`. Why doesn't the ML test module have its own `data` directory?
The method `com.ibm.wala.classLoader.IClass.getSuperclass()`, when given the class `Core[script tf2_test_model_call2.py/SequentialModel]`, which extends `tf.keras.Model`, returns `Core[object]`. But, its super class is `tf.keras.Model`. Note that the class hierarchy is as follows: ``` Core[object]...
https://www.tensorflow.org/api_docs/python/tf/data/Iterator Blocked on #89.
Consider the following example: ```python class D: pass class C(D): def func(self, x): return x * x c = C() a = c.func(5) assert a == 25 ``` In the...
Consider the following input code: https://github.com/wala/ML/blob/eec6f816f0c95ce23778d30eb71baf1d4edf0f24/com.ibm.wala.cast.python.test/data/tf2_test_model_call.py Class `SequentialModel` extends `Model`, but I am seeing the following as the `superName` in the debugger: ``` superName TypeName (id=220) Lobject ``` ## Regression...
Currently, there are two custom dependency builds: https://github.com/wala/ML/blob/40fae525a98e73a1424132f852f3ca39784a6a7d/.github/workflows/continuous-integration.yml#L19-L40 Currently, these dependencies are cloned from GH from master. It would be better instead to specify a specific SHA1 to be checked...