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For Task 1.2, I believe the intended code for scalar.Scalar.__sub__is return Add.apply(self, -b), which passes the tests. Interestingly, if return Add.apply(self, Neg.apply(b)) is used, the tests that involve subtracting constants fail. Excerpt of the failed test cases below:
I've slightly modified the error message in autodiff.FunctionBase to print the offending value in question, and they are all ints. The root cause is due to scalar.ScalarFunction.data_type being hard-coded as float. I assume data_type is fixed for a reason, and there probably isn't an easy fix to allow the alternate solution to pass the tests. Just thought y'all should know.
The text was updated successfully, but these errors were encountered:
Indeed, this issue occurs when all the operations do not return a float.
I manage to pass the test with Add.apply(self, Neg.apply(b)) by defining the negation operation as: return -1.0 * x
For Task 1.2, I believe the intended code for
scalar.Scalar.__sub__
isreturn Add.apply(self, -b)
, which passes the tests. Interestingly, ifreturn Add.apply(self, Neg.apply(b))
is used, the tests that involve subtracting constants fail. Excerpt of the failed test cases below:I've slightly modified the error message in
autodiff.FunctionBase
to print the offending value in question, and they are all ints. The root cause is due toscalar.ScalarFunction.data_type
being hard-coded asfloat
. I assumedata_type
is fixed for a reason, and there probably isn't an easy fix to allow the alternate solution to pass the tests. Just thought y'all should know.The text was updated successfully, but these errors were encountered: