80 lines
1.9 KiB
Python
80 lines
1.9 KiB
Python
import numpy
|
|
import pytest
|
|
|
|
from thinc.api import NumpyOps, Ragged, registry, strings2arrays
|
|
|
|
from ..util import get_data_checker
|
|
|
|
|
|
@pytest.fixture(params=[[], [(10, 2)], [(5, 3), (1, 3)], [(2, 3), (0, 3), (1, 3)]])
|
|
def shapes(request):
|
|
return request.param
|
|
|
|
|
|
@pytest.fixture
|
|
def ops():
|
|
return NumpyOps()
|
|
|
|
|
|
@pytest.fixture
|
|
def list_data(shapes):
|
|
return [numpy.zeros(shape, dtype="f") for shape in shapes]
|
|
|
|
|
|
@pytest.fixture
|
|
def ragged_data(ops, list_data):
|
|
lengths = numpy.array([len(x) for x in list_data], dtype="i")
|
|
if not list_data:
|
|
return Ragged(ops.alloc2f(0, 0), lengths)
|
|
else:
|
|
return Ragged(ops.flatten(list_data), lengths)
|
|
|
|
|
|
@pytest.fixture
|
|
def padded_data(ops, list_data):
|
|
return ops.list2padded(list_data)
|
|
|
|
|
|
@pytest.fixture
|
|
def array_data(ragged_data):
|
|
return ragged_data.data
|
|
|
|
|
|
def check_transform(transform, in_data, out_data):
|
|
model = registry.resolve({"config": {"@layers": transform}})["config"]
|
|
input_checker = get_data_checker(in_data)
|
|
output_checker = get_data_checker(out_data)
|
|
model.initialize(in_data, out_data)
|
|
Y, backprop = model(in_data, is_train=True)
|
|
output_checker(Y, out_data)
|
|
dX = backprop(Y)
|
|
input_checker(dX, in_data)
|
|
|
|
|
|
def test_list2array(list_data, array_data):
|
|
check_transform("list2array.v1", list_data, array_data)
|
|
|
|
|
|
def test_list2ragged(list_data, ragged_data):
|
|
check_transform("list2ragged.v1", list_data, ragged_data)
|
|
|
|
|
|
def test_list2padded(list_data, padded_data):
|
|
check_transform("list2padded.v1", list_data, padded_data)
|
|
|
|
|
|
def test_ragged2list(ragged_data, list_data):
|
|
check_transform("ragged2list.v1", ragged_data, list_data)
|
|
|
|
|
|
def test_padded2list(padded_data, list_data):
|
|
check_transform("padded2list.v1", padded_data, list_data)
|
|
|
|
|
|
def test_strings2arrays():
|
|
strings = ["hello", "world"]
|
|
model = strings2arrays()
|
|
Y, backprop = model.begin_update(strings)
|
|
assert len(Y) == len(strings)
|
|
assert backprop([]) == []
|