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make flake8 happy again

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svlandeg 2022-01-20 17:20:34 +01:00
parent 4d9d9c5a28
commit ca6aa239bc
1 changed files with 27 additions and 27 deletions
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54
spacy/tests/test_misc.py
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@ -78,33 +78,33 @@ def test_util_get_package_path(package):
assert isinstance(path, Path)
@pytest.mark.xfail(reason="No precomputable affine")
def test_PrecomputableAffine(nO=4, nI=5, nF=3, nP=2):
model = PrecomputableAffine(nO=nO, nI=nI, nF=nF, nP=nP).initialize()
assert model.get_param("W").shape == (nF, nO, nP, nI)
tensor = model.ops.alloc((10, nI))
Y, get_dX = model.begin_update(tensor)
assert Y.shape == (tensor.shape[0] + 1, nF, nO, nP)
dY = model.ops.alloc((15, nO, nP))
ids = model.ops.alloc((15, nF))
ids[1, 2] = -1
dY[1] = 1
assert not model.has_grad("pad")
d_pad = _backprop_precomputable_affine_padding(model, dY, ids)
assert d_pad[0, 2, 0, 0] == 1.0
ids.fill(0.0)
dY.fill(0.0)
dY[0] = 0
ids[1, 2] = 0
ids[1, 1] = -1
ids[1, 0] = -1
dY[1] = 1
ids[2, 0] = -1
dY[2] = 5
d_pad = _backprop_precomputable_affine_padding(model, dY, ids)
assert d_pad[0, 0, 0, 0] == 6
assert d_pad[0, 1, 0, 0] == 1
assert d_pad[0, 2, 0, 0] == 0
# @pytest.mark.skip(reason="No precomputable affine")
# def test_PrecomputableAffine(nO=4, nI=5, nF=3, nP=2):
# model = PrecomputableAffine(nO=nO, nI=nI, nF=nF, nP=nP).initialize()
# assert model.get_param("W").shape == (nF, nO, nP, nI)
# tensor = model.ops.alloc((10, nI))
# Y, get_dX = model.begin_update(tensor)
# assert Y.shape == (tensor.shape[0] + 1, nF, nO, nP)
# dY = model.ops.alloc((15, nO, nP))
# ids = model.ops.alloc((15, nF))
# ids[1, 2] = -1
# dY[1] = 1
# assert not model.has_grad("pad")
# d_pad = _backprop_precomputable_affine_padding(model, dY, ids)
# assert d_pad[0, 2, 0, 0] == 1.0
# ids.fill(0.0)
# dY.fill(0.0)
# dY[0] = 0
# ids[1, 2] = 0
# ids[1, 1] = -1
# ids[1, 0] = -1
# dY[1] = 1
# ids[2, 0] = -1
# dY[2] = 5
# d_pad = _backprop_precomputable_affine_padding(model, dY, ids)
# assert d_pad[0, 0, 0, 0] == 6
# assert d_pad[0, 1, 0, 0] == 1
# assert d_pad[0, 2, 0, 0] == 0
def test_prefer_gpu():