16 lines
967 B
Plaintext
16 lines
967 B
Plaintext
Steps to validate transcendental functions:
|
|
1) Add a file 'umath-validation-set-<ufuncname>.txt', where ufuncname is name of
|
|
the function in NumPy you want to validate
|
|
2) The file should contain 4 columns: dtype,input,expected output,ulperror
|
|
a. dtype: one of np.float16, np.float32, np.float64
|
|
b. input: floating point input to ufunc in hex. Example: 0x414570a4
|
|
represents 12.340000152587890625
|
|
c. expected output: floating point output for the corresponding input in hex.
|
|
This should be computed using a high(er) precision library and then rounded to
|
|
same format as the input.
|
|
d. ulperror: expected maximum ulp error of the function. This
|
|
should be same across all rows of the same dtype. Otherwise, the function is
|
|
tested for the maximum ulp error among all entries of that dtype.
|
|
3) Add file umath-validation-set-<ufuncname>.txt to the test file test_umath_accuracy.py
|
|
which will then validate your ufunc.
|