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from caffe2.python import core
from hypothesis import given, settings
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 TestWeightedSumOp(serial.SerializedTestCase):
@given(
n=st.integers(1, 8), m=st.integers(1, 10), d=st.integers(1, 4),
in_place=st.booleans(), engine=st.sampled_from(["", "CUDNN"]),
seed=st.integers(min_value=0, max_value=65535),
**hu.gcs)
@settings(deadline=10000)
def test_weighted_sum(
self, n, m, d, in_place, engine, seed, gc, dc):
input_names = []
input_vars = []
np.random.seed(seed)
for i in range(m):
X_name = 'X' + str(i)
w_name = 'w' + str(i)
input_names.extend([X_name, w_name])
var = np.random.rand(n, d).astype(np.float32)
vars()[X_name] = var
input_vars.append(var)
var = np.random.rand(1).astype(np.float32)
vars()[w_name] = var
input_vars.append(var)
def weighted_sum_op_ref(*args):
res = np.zeros((n, d))
for i in range(m):
res = res + args[2 * i + 1] * args[2 * i]
return (res, )
op = core.CreateOperator(
"WeightedSum",
input_names,
[input_names[0]] if in_place else ['Y'],
engine=engine,
)
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=input_vars,
reference=weighted_sum_op_ref,
)
self.assertDeviceChecks(dc, op, input_vars, [0])
@given(n=st.integers(1, 8), m=st.integers(1, 10), d=st.integers(1, 4),
grad_on_w=st.booleans(),
seed=st.integers(min_value=0, max_value=65535), **hu.gcs_cpu_only)
@settings(deadline=10000)
def test_weighted_sum_grad(
self, n, m, d, grad_on_w, seed, gc, dc):
input_names = []
input_vars = []
np.random.seed(seed)
for i in range(m):
X_name = 'X' + str(i)
w_name = 'w' + str(i)
input_names.extend([X_name, w_name])
var = np.random.rand(n, d).astype(np.float32)
vars()[X_name] = var
input_vars.append(var)
var = np.random.rand(1).astype(np.float32)
vars()[w_name] = var
input_vars.append(var)
op = core.CreateOperator(
"WeightedSum",
input_names,
['Y'],
grad_on_w=grad_on_w,
)
output_to_check_grad = (
range(2 * m) if grad_on_w else range(0, 2 * m, 2))
for i in output_to_check_grad:
self.assertGradientChecks(
device_option=gc,
op=op,
inputs=input_vars,
outputs_to_check=i,
outputs_with_grads=[0],
)
if __name__ == "__main__":
serial.testWithArgs()
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