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63 lines
1.7 KiB
Python
63 lines
1.7 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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from pathlib import Path
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from spacy import util
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from spacy import prefer_gpu, require_gpu
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from spacy._ml import PrecomputableAffine
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@pytest.mark.parametrize("text", ["hello/world", "hello world"])
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def test_util_ensure_path_succeeds(text):
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path = util.ensure_path(text)
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assert isinstance(path, Path)
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@pytest.mark.parametrize("package", ["numpy"])
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def test_util_is_package(package):
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"""Test that an installed package via pip is recognised by util.is_package."""
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assert util.is_package(package)
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@pytest.mark.parametrize("package", ["thinc"])
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def test_util_get_package_path(package):
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"""Test that a Path object is returned for a package name."""
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path = util.get_package_path(package)
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assert isinstance(path, Path)
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def test_PrecomputableAffine(nO=4, nI=5, nF=3, nP=2):
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model = PrecomputableAffine(nO=nO, nI=nI, nF=nF, nP=nP)
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assert model.W.shape == (nF, nO, nP, nI)
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tensor = model.ops.allocate((10, nI))
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Y, get_dX = model.begin_update(tensor)
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assert Y.shape == (tensor.shape[0] + 1, nF, nO, nP)
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assert model.d_pad.shape == (1, nF, nO, nP)
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dY = model.ops.allocate((15, nO, nP))
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ids = model.ops.allocate((15, nF))
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ids[1, 2] = -1
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dY[1] = 1
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assert model.d_pad[0, 2, 0, 0] == 0.0
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model._backprop_padding(dY, ids)
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assert model.d_pad[0, 2, 0, 0] == 1.0
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model.d_pad.fill(0.0)
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ids.fill(0.0)
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dY.fill(0.0)
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ids[1, 2] = -1
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ids[1, 1] = -1
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ids[1, 0] = -1
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dY[1] = 1
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assert model.d_pad[0, 2, 0, 0] == 0.0
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model._backprop_padding(dY, ids)
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assert model.d_pad[0, 2, 0, 0] == 3.0
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def test_prefer_gpu():
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assert not prefer_gpu()
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def test_require_gpu():
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with pytest.raises(ValueError):
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require_gpu()
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