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test: test for linalg.einsum added

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Fabian Joswig 2021-12-01 12:19:32 +00:00
parent 019196bad3
commit 4c8d758889
2 changed files with 54 additions and 1 deletions
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2
pyerrors/linalg.py
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@ -298,7 +298,7 @@ def einsum(subscripts, *operands):
if jack_einsum.dtype == complex:
result = _imp_from_jack_c(jack_einsum, name, idl)
elif jack_einsum.dtype == float:
result =_imp_from_jack(jack_einsum, name, idl)
result = _imp_from_jack(jack_einsum, name, idl)
else:
raise Exception("Result has unexpected datatype")

53
tests/linalg_test.py
View file

@ -93,6 +93,59 @@ def test_jack_matmul():
assert trace4.real.dvalue < 0.001
assert trace4.imag.dvalue < 0.001
def test_einsum():
def _perform_real_check(arr):
[o.gamma_method() for o in arr]
assert np.all([o.is_zero_within_error(0.001) for o in arr])
assert np.all([o.dvalue < 0.001 for o in arr])
def _perform_complex_check(arr):
[o.gamma_method() for o in arr]
assert np.all([o.real.is_zero_within_error(0.001) for o in arr])
assert np.all([o.real.dvalue < 0.001 for o in arr])
assert np.all([o.imag.is_zero_within_error(0.001) for o in arr])
assert np.all([o.imag.dvalue < 0.001 for o in arr])
tt = [get_real_matrix(4), get_real_matrix(3)]
q = np.tensordot(tt[0], tt[1], 0)
c1 = tt[1] @ q
c2 = pe.linalg.einsum('ij,abjd->abid', tt[1], q)
check1 = c1 - c2
_perform_real_check(check1.ravel())
check2 = np.trace(tt[0]) - pe.linalg.einsum('ii', tt[0])
_perform_real_check([check2])
check3 = np.trace(tt[1]) - pe.linalg.einsum('ii', tt[1])
_perform_real_check([check3])
tt = [get_real_matrix(4), np.random.random((3, 3))]
q = np.tensordot(tt[0], tt[1], 0)
c1 = tt[1] @ q
c2 = pe.linalg.einsum('ij,abjd->abid', tt[1], q)
check1 = c1 - c2
_perform_real_check(check1.ravel())
tt = [get_complex_matrix(4), get_complex_matrix(3)]
q = np.tensordot(tt[0], tt[1], 0)
c1 = tt[1] @ q
c2 = pe.linalg.einsum('ij,abjd->abid', tt[1], q)
check1 = c1 - c2
_perform_complex_check(check1.ravel())
check2 = np.trace(tt[0]) - pe.linalg.einsum('ii', tt[0])
_perform_complex_check([check2])
check3 = np.trace(tt[1]) - pe.linalg.einsum('ii', tt[1])
_perform_complex_check([check3])
tt = [get_complex_matrix(4), np.random.random((3, 3))]
q = np.tensordot(tt[0], tt[1], 0)
c1 = tt[1] @ q
c2 = pe.linalg.einsum('ij,abjd->abid', tt[1], q)
check1 = c1 - c2
_perform_complex_check(check1.ravel())
def test_multi_dot():
for dim in [4, 6]:
my_list = []