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https://github.com/finegrain-ai/refiners.git
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120 lines
2.7 KiB
Python
120 lines
2.7 KiB
Python
import torch
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import refiners.fluxion.layers as fl
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def test_chain_remove() -> None:
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chain = fl.Chain(
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fl.Linear(1, 1),
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fl.Linear(1, 1),
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fl.Chain(fl.Linear(1, 1), fl.Linear(1, 1)),
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)
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assert len(chain) == 3
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assert "Linear_1" in chain._modules
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assert "Linear" not in chain._modules
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chain.remove(chain.Linear_2)
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assert len(chain) == 2
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assert "Linear" in chain._modules
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assert "Linear_1" not in chain._modules
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def test_chain_replace() -> None:
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chain = fl.Chain(
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fl.Linear(1, 1),
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fl.Linear(1, 1),
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fl.Chain(fl.Linear(1, 1), fl.Linear(1, 1)),
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)
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assert isinstance(chain.Chain[1], fl.Linear)
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chain.Chain.replace(chain.Chain[1], fl.Conv2d(1, 1, 1))
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assert len(chain) == 3
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assert isinstance(chain.Chain[1], fl.Conv2d)
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def test_chain_structural_copy() -> None:
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m = fl.Chain(
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fl.Sum(
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fl.Linear(4, 8),
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fl.Linear(4, 8),
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),
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fl.Linear(8, 12),
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)
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x = torch.randn(7, 4)
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y = m(x)
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assert y.shape == (7, 12)
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m2 = m.structural_copy()
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assert m.Linear == m2.Linear
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assert m.Sum.Linear_1 == m2.Sum.Linear_1
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assert m.Sum.Linear_2 == m2.Sum.Linear_2
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assert m.Sum != m2.Sum
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assert m != m2
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assert m.Sum.parent == m
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assert m2.Sum.parent == m2
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y2 = m2(x)
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assert y2.shape == (7, 12)
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torch.equal(y2, y)
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def test_chain_find() -> None:
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chain = fl.Chain(fl.Linear(1, 1))
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assert isinstance(chain.find(fl.Linear), fl.Linear)
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assert chain.find(fl.Conv2d) is None
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def test_chain_slice() -> None:
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chain = fl.Chain(
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fl.Linear(1, 1),
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fl.Linear(1, 1),
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fl.Linear(1, 1),
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fl.Chain(
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fl.Linear(1, 1),
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fl.Linear(1, 1),
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),
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fl.Linear(1, 1),
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)
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x = torch.randn(1, 1)
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sliced_chain = chain[1:4]
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assert len(chain) == 5
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assert len(sliced_chain) == 3
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assert chain[:-1](x).shape == (1, 1)
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def test_chain_walk_stop_iteration() -> None:
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chain = fl.Chain(
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fl.Sum(
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fl.Chain(fl.Linear(1, 1)),
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fl.Linear(1, 1),
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),
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fl.Chain(),
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fl.Linear(1, 1),
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)
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def predicate(m: fl.Module, p: fl.Chain) -> bool:
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if isinstance(m, fl.Sum):
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raise StopIteration
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return isinstance(m, fl.Linear)
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assert len(list(chain.walk(fl.Linear))) == 3
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assert len(list(chain.walk(predicate))) == 1
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def test_chain_layers() -> None:
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chain = fl.Chain(
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fl.Chain(fl.Chain(fl.Chain())),
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fl.Chain(),
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fl.Linear(1, 1),
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)
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assert len(list(chain.layers(fl.Chain))) == 2
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assert len(list(chain.layers(fl.Chain, recurse=True))) == 4
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