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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
import hypothesis.strategies as st
import numpy as np
import unittest
class TestMean(serial.SerializedTestCase):
@serial.given(
k=st.integers(1, 5),
n=st.integers(1, 10),
m=st.integers(1, 10),
in_place=st.booleans(),
seed=st.integers(0, 2**32 - 1),
**hu.gcs
)
def test_mean(self, k, n, m, in_place, seed, gc, dc):
np.random.seed(seed)
input_names = []
input_vars = []
for i in range(k):
X_name = 'X' + str(i)
input_names.append(X_name)
var = np.random.randn(n, m).astype(np.float32)
input_vars.append(var)
def mean_ref(*args):
return [np.mean(args, axis=0)]
op = core.CreateOperator(
"Mean",
input_names,
['Y' if not in_place else 'X0'],
)
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=input_vars,
reference=mean_ref,
)
self.assertGradientChecks(
device_option=gc,
op=op,
inputs=input_vars,
outputs_to_check=0,
outputs_with_grads=[0],
)
self.assertDeviceChecks(dc, op, input_vars, [0])
if __name__ == "__main__":
unittest.main()
|
