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from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
from hypothesis import given, settings
import hypothesis.strategies as st
import numpy as np
import unittest
def mux(select, left, right):
return [np.vectorize(lambda c, x, y: x if c else y)(select, left, right)]
def rowmux(select_vec, left, right):
select = [[s] * len(left) for s in select_vec]
return mux(select, left, right)
class TestWhere(serial.SerializedTestCase):
def test_reference(self):
self.assertTrue((
np.array([1, 4]) == mux([True, False],
[1, 2],
[3, 4])[0]
).all())
self.assertTrue((
np.array([[1], [4]]) == mux([[True], [False]],
[[1], [2]],
[[3], [4]])[0]
).all())
@given(N=st.integers(min_value=1, max_value=10),
engine=st.sampled_from(["", "CUDNN"]),
**hu.gcs_cpu_only)
@settings(deadline=10000)
def test_where(self, N, gc, dc, engine):
C = np.random.rand(N).astype(bool)
X = np.random.rand(N).astype(np.float32)
Y = np.random.rand(N).astype(np.float32)
op = core.CreateOperator("Where", ["C", "X", "Y"], ["Z"], engine=engine)
self.assertDeviceChecks(dc, op, [C, X, Y], [0])
self.assertReferenceChecks(gc, op, [C, X, Y], mux)
@given(N=st.integers(min_value=1, max_value=10),
engine=st.sampled_from(["", "CUDNN"]),
**hu.gcs_cpu_only)
@settings(deadline=10000)
def test_where_dim2(self, N, gc, dc, engine):
C = np.random.rand(N, N).astype(bool)
X = np.random.rand(N, N).astype(np.float32)
Y = np.random.rand(N, N).astype(np.float32)
op = core.CreateOperator("Where", ["C", "X", "Y"], ["Z"], engine=engine)
self.assertDeviceChecks(dc, op, [C, X, Y], [0])
self.assertReferenceChecks(gc, op, [C, X, Y], mux)
class TestRowWhere(hu.HypothesisTestCase):
def test_reference(self):
self.assertTrue((
np.array([1, 2]) == rowmux([True],
[1, 2],
[3, 4])[0]
).all())
self.assertTrue((
np.array([[1, 2], [7, 8]]) == rowmux([True, False],
[[1, 2], [3, 4]],
[[5, 6], [7, 8]])[0]
).all())
@given(N=st.integers(min_value=1, max_value=10),
engine=st.sampled_from(["", "CUDNN"]),
**hu.gcs_cpu_only)
def test_rowwhere(self, N, gc, dc, engine):
C = np.random.rand(N).astype(bool)
X = np.random.rand(N).astype(np.float32)
Y = np.random.rand(N).astype(np.float32)
op = core.CreateOperator(
"Where",
["C", "X", "Y"],
["Z"],
broadcast_on_rows=True,
engine=engine,
)
self.assertDeviceChecks(dc, op, [C, X, Y], [0])
self.assertReferenceChecks(gc, op, [C, X, Y], mux)
@given(N=st.integers(min_value=1, max_value=10),
engine=st.sampled_from(["", "CUDNN"]),
**hu.gcs_cpu_only)
def test_rowwhere_dim2(self, N, gc, dc, engine):
C = np.random.rand(N).astype(bool)
X = np.random.rand(N, N).astype(np.float32)
Y = np.random.rand(N, N).astype(np.float32)
op = core.CreateOperator(
"Where",
["C", "X", "Y"],
["Z"],
broadcast_on_rows=True,
engine=engine,
)
self.assertDeviceChecks(dc, op, [C, X, Y], [0])
self.assertReferenceChecks(gc, op, [C, X, Y], rowmux)
class TestIsMemberOf(serial.SerializedTestCase):
@given(N=st.integers(min_value=1, max_value=10),
engine=st.sampled_from(["", "CUDNN"]),
**hu.gcs_cpu_only)
@settings(deadline=10000)
def test_is_member_of(self, N, gc, dc, engine):
X = np.random.randint(10, size=N).astype(np.int64)
values = [0, 3, 4, 6, 8]
op = core.CreateOperator(
"IsMemberOf",
["X"],
["Y"],
value=np.array(values),
engine=engine,
)
self.assertDeviceChecks(dc, op, [X], [0])
values = set(values)
def test(x):
return [np.vectorize(lambda x: x in values)(x)]
self.assertReferenceChecks(gc, op, [X], test)
if __name__ == "__main__":
unittest.main()
|
