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conditional_test.py
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conditional_test.py
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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
import hypothesis.strategies as st
import numpy as np
class TestConditionalOp(serial.SerializedTestCase):
@serial.given(rows_num=st.integers(1, 10000), **hu.gcs_cpu_only)
def test_conditional(self, rows_num, gc, dc):
op = core.CreateOperator(
"Conditional", ["condition", "data_t", "data_f"], "output"
)
data_t = np.random.random((rows_num, 10, 20)).astype(np.float32)
data_f = np.random.random((rows_num, 10, 20)).astype(np.float32)
condition = np.random.choice(a=[True, False], size=rows_num)
def ref(condition, data_t, data_f):
output = [
data_t[i] if condition[i] else data_f[i]
for i in range(rows_num)
]
return (output,)
self.assertReferenceChecks(gc, op, [condition, data_t, data_f], ref)