Failing tests in ci_tests/test_SO3vecArr.py and manual_tests/test_FFT_accuracies.py
agoscinski opened this issue · 0 comments
agoscinski commented
In PR #5 I commented out these tests, because they are failing.
GElib/python/tests/ci_tests/test_SO3vecArr.py
Lines 102 to 106 in b2864c6
# @pytest.mark.parametrize('b', [1, 2, 4]) | |
# @pytest.mark.parametrize('a', [1, 2, 4]) | |
# @pytest.mark.parametrize('maxl', range(7)) | |
# def test_Fproduct_backprop(self,b,a,maxl): | |
# return |
GElib/python/tests/ci_tests/test_SO3vecArr.py
Lines 68 to 83 in b2864c6
# @pytest.mark.parametrize('b', [1, 2, 4]) | |
# @pytest.mark.parametrize('a', [1, 2, 4]) | |
# @pytest.mark.parametrize('maxl', range(7)) | |
# def test_Fproduct(self,b,a,maxl): | |
# x=G.SO3vecArr.Frandn(b,[a],maxl) | |
# y=G.SO3vecArr.Frandn(b,[a],maxl) | |
# R = G.SO3element.uniform() | |
# xr=x.rotate(R) | |
# yr=y.rotate(R) | |
# | |
# z=G.Fproduct(x,y,maxl=maxl) | |
# zr=G.Fproduct(xr,yr,maxl=maxl) | |
# rz=z.rotate(R) | |
# | |
# for i in range(maxl+1 ): | |
# assert (torch.allclose(rz.parts[i] , zr.parts[i], rtol=1e-3, atol=1e-2)) |
GElib/python/tests/manual_tests/test_FFT_accuracies.py
Lines 11 to 63 in 6c394be
## TESTS FAILS, ERROR MESSAGE: | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/_pytest/runner.py:341: in from_call | |
# result: Optional[TResult] = func() | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/_pytest/runner.py:372: in <lambda> | |
# call = CallInfo.from_call(lambda: list(collector.collect()), "collect") | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/_pytest/python.py:531: in collect | |
# self._inject_setup_module_fixture() | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/_pytest/python.py:545: in _inject_setup_module_fixture | |
# self.obj, ("setUpModule", "setup_module") | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/_pytest/python.py:310: in obj | |
# self._obj = obj = self._getobj() | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/_pytest/python.py:528: in _getobj | |
# return self._importtestmodule() | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/_pytest/python.py:617: in _importtestmodule | |
# mod = import_path(self.path, mode=importmode, root=self.config.rootpath) | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/_pytest/pathlib.py:565: in import_path | |
# importlib.import_module(module_name) | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/importlib/__init__.py:126: in import_module | |
# return _bootstrap._gcd_import(name[level:], package, level) | |
# <frozen importlib._bootstrap>:1050: in _gcd_import | |
# ??? | |
# <frozen importlib._bootstrap>:1027: in _find_and_load | |
# ??? | |
# <frozen importlib._bootstrap>:1006: in _find_and_load_unlocked | |
# ??? | |
# <frozen importlib._bootstrap>:688: in _load_unlocked | |
# ??? | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/_pytest/assertion/rewrite.py:178: in exec_module | |
# exec(co, module.__dict__) | |
# python/tests/manual_tests/test_FFT_accuracies.py:12: in <module> | |
# inverse = gelib.SO3iFFT(signals, bandwidth) | |
# python/src/gelib/SO3vec.py:600: in SO3iFFT | |
# return v.iFFT(N) | |
# python/src/gelib/SO3vec.py:246: in iFFT | |
# return SO3vec_iFFTFn.apply(_N,*(self.parts)) | |
# /opt/anaconda3/envs/gelib-test-ci/lib/python3.10/site-packages/torch/autograd/function.py:506: in apply | |
# return super().apply(*args, **kwargs) # type: ignore[misc] | |
# python/src/gelib/SO3vec.py:467: in forward | |
# _r=ctensorb.view(r) | |
# E RuntimeError: expected scalar type ComplexFloat | |
#for bandwidth in range(1, 101): | |
# inverse = gelib.SO3iFFT(signals, bandwidth) | |
# signals_ = gelib.SO3FFT(inverse, maxl) | |
# sum_errors = 0 | |
# total_elems = 0 | |
# for l in range(len(signals.parts)): | |
# error = torch.sum(torch.abs(torch.tensor(signals.parts[l]) - torch.tensor(signals_.parts[l]))) | |
# print(torch.tensor(error)) | |
# total_elems += signals.parts[l].numel() | |
# average_error = sum_errors / total_elems | |
# print(bandwidth, sum_errors, average_error) |