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add four backend method tests,including 'sin','cos','copy' and 'power' #105

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add four backend method tests,including 'sin','cos','copy' and 'power' #105

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772ebc8
add four backend method tests,including 'sin','cos','copy' and 'power'
ritualOne Jan 17, 2023
404b21c
two methods 'copy' and 'power' moved to test_backend_method_2
ritualOne Jan 17, 2023
d2fb684
Merge branch 'tencent-quantum-lab:master' into tensorcirciut_change
ritualOne Jan 17, 2023
e941039
Merge branch 'tencent-quantum-lab:master' into tensorcirciut_change
ritualOne Jan 20, 2023
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24 changes: 23 additions & 1 deletion tests/test_backends.py
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Original file line number Diff line number Diff line change
Expand Up @@ -176,6 +176,7 @@ def test_backend_methods(backend):
np.array([2, 1, 0]),
atol=1e-5,
)



@pytest.mark.parametrize("backend", [lf("npb"), lf("tfb"), lf("jaxb"), lf("torchb")])
Expand Down Expand Up @@ -241,6 +242,16 @@ def test_backend_methods_2(backend):
np.sinh(0.5 * tc.backend.ones([2])),
atol=1e-5,
)
np.testing.assert_allclose(
tc.backend.sin(0.5*tc.backend.ones([2],dtype="float32")),
np.sin(0.5*tc.backend.ones([2])),
atol=1e-5,
)
np.testing.assert_allclose(
tc.backend.cos(0.5*tc.backend.ones([2],dtype="float32")),
np.cos(0.5*tc.backend.ones([2])),
atol=1e-5,
)
np.testing.assert_allclose(
tc.backend.eigvalsh(tc.backend.ones([2, 2])), np.array([0, 2]), atol=1e-5
)
Expand Down Expand Up @@ -273,6 +284,17 @@ def test_backend_methods_2(backend):
tc.backend.arange(1, 5, 2),
np.array([1, 3]),
)
arr = np.random.normal(size=(6, 6))
np.testing.assert_allclose(
tc.backend.copy(arr),
arr,
atol=1e-5,
)
np.testing.assert_allclose(
tc.backend.power(arr,6),
np.power(arr,6),
atol=1e-5
)
assert tc.backend.dtype(tc.backend.ones([])) == "complex64"
edges = [-1, 3.3, 9.1, 10.0]
values = tc.backend.convert_to_tensor(np.array([0.0, 4.1, 12.0], dtype=np.float32))
Expand All @@ -299,7 +321,7 @@ def test_backend_methods_2(backend):
np.maximum(arr, 0),
atol=1e-4,
)

test_backend_methods_2("pytorch")

@pytest.mark.parametrize("backend", [lf("npb"), lf("tfb"), lf("jaxb"), lf("torchb")])
def test_device_cpu_only(backend):
Expand Down