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from hypothesis import given
import numpy as np
from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
class TestFlatten(hu.HypothesisTestCase):
@given(X=hu.tensor(min_dim=2, max_dim=4),
**hu.gcs)
def test_flatten(self, X, gc, dc):
for axis in range(X.ndim + 1):
op = core.CreateOperator(
"Flatten",
["X"],
["Y"],
axis=axis)
def flatten_ref(X):
shape = X.shape
outer = np.prod(shape[:axis]).astype(int)
inner = np.prod(shape[axis:]).astype(int)
return np.copy(X).reshape(outer, inner),
self.assertReferenceChecks(gc, op, [X], flatten_ref)
# Check over multiple devices
self.assertDeviceChecks(dc, op, [X], [0])
if __name__ == "__main__":
import unittest
unittest.main()
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