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Most tests fail when running them on gpu device without double type support (Iris XE).
Need to update all dpnp tests to consider the specifics of this device.
test_absolute.py output example from WSL:
=short test summary info =
FAILED tests/test_absolute.py::test_absolute_float[float64] - AssertionError:
FAILED tests/test_absolute.py::test_absolute_float_3[float64] - AssertionError:
=2 failed, 2 passed in 0.38s =
E AssertionError:
E Arrays are not equal
E
E Mismatched elements: 1 / 9 (11.1%)
E Max absolute difference: 3.81469727e-07
E Max relative difference: 4.19197485e-08
E x: array([[2. , 3. , 9.1],
E [2. , 5. , 2. ],
E [1. , 2. , 5. ]])
E y: array([[2. , 3. , 9.1],
E [2. , 5. , 2. ],
E [1. , 2. , 5. ]], dtype=float32)
The text was updated successfully, but these errors were encountered:
At the moment most of dpnp tests have been fixed to run on Iris Xe.
The remaining tests will be fixed as soon as all functions from dpctl are reused.
You can find all failed tests in tests/skipped_tests_gpu_no_fp64.tbl
Most tests fail when running them on gpu device without double type support (Iris XE).
Need to update all dpnp tests to consider the specifics of this device.
test_absolute.py output example from WSL:
The text was updated successfully, but these errors were encountered: