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