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import contextlib
import shutil
import tempfile
from pathlib import Path
import numpy
import pytest
from thinc.api import ArgsKwargs, Linear, Padded, Ragged
from thinc.util import has_cupy, is_cupy_array, is_numpy_array
@contextlib.contextmanager
def make_tempdir():
d = Path(tempfile.mkdtemp())
yield d
shutil.rmtree(str(d))
def get_model(W_b_input, cls=Linear):
W, b, input_ = W_b_input
nr_out, nr_in = W.shape
model = cls(nr_out, nr_in)
model.set_param("W", W)
model.set_param("b", b)
model.initialize()
return model
def get_shape(W_b_input):
W, b, input_ = W_b_input
return input_.shape[0], W.shape[0], W.shape[1]
def get_data_checker(inputs):
if isinstance(inputs, Ragged):
return assert_raggeds_match
elif isinstance(inputs, Padded):
return assert_paddeds_match
elif isinstance(inputs, list):
return assert_lists_match
elif isinstance(inputs, tuple) and len(inputs) == 4:
return assert_padded_data_match
elif isinstance(inputs, tuple) and len(inputs) == 2:
return assert_ragged_data_match
else:
return assert_arrays_match
def assert_arrays_match(X, Y):
assert X.dtype == Y.dtype
# Transformations are allowed to change last dimension, but not batch size.
assert X.shape[0] == Y.shape[0]
return True
def assert_lists_match(X, Y):
assert isinstance(X, list)
assert isinstance(Y, list)
assert len(X) == len(Y)
for x, y in zip(X, Y):
assert_arrays_match(x, y)
return True
def assert_raggeds_match(X, Y):
assert isinstance(X, Ragged)
assert isinstance(Y, Ragged)
assert_arrays_match(X.lengths, Y.lengths)
assert_arrays_match(X.data, Y.data)
return True
def assert_paddeds_match(X, Y):
assert isinstance(X, Padded)
assert isinstance(Y, Padded)
assert_arrays_match(X.size_at_t, Y.size_at_t)
assert assert_arrays_match(X.lengths, Y.lengths)
assert assert_arrays_match(X.indices, Y.indices)
assert X.data.dtype == Y.data.dtype
assert X.data.shape[1] == Y.data.shape[1]
assert X.data.shape[0] == Y.data.shape[0]
return True
def assert_padded_data_match(X, Y):
return assert_paddeds_match(Padded(*X), Padded(*Y))
def assert_ragged_data_match(X, Y):
return assert_raggeds_match(Ragged(*X), Ragged(*Y))
def check_input_converters(Y, backprop, data, n_args, kwargs_keys, type_):
assert isinstance(Y, ArgsKwargs)
assert len(Y.args) == n_args
assert list(Y.kwargs.keys()) == kwargs_keys
assert all(isinstance(arg, type_) for arg in Y.args)
assert all(isinstance(arg, type_) for arg in Y.kwargs.values())
dX = backprop(Y)
def is_supported_backend_array(arr):
return is_cupy_array(arr) or is_numpy_array(arr)
input_type = type(data) if not isinstance(data, list) else tuple
assert isinstance(dX, input_type) or is_supported_backend_array(dX)
if isinstance(data, dict):
assert list(dX.keys()) == kwargs_keys
assert all(is_supported_backend_array(arr) for arr in dX.values())
elif isinstance(data, (list, tuple)):
assert isinstance(dX, tuple)
assert all(is_supported_backend_array(arr) for arr in dX)
elif isinstance(data, ArgsKwargs):
assert len(dX.args) == n_args
assert list(dX.kwargs.keys()) == kwargs_keys
assert all(is_supported_backend_array(arg) for arg in dX.args)
assert all(is_supported_backend_array(arg) for arg in dX.kwargs.values())
elif not isinstance(data, numpy.ndarray):
pytest.fail(f"Bad data type: {dX}")
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