mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
348e29c49b
Summary: Closes https://github.com/caffe2/caffe2/pull/1434 Reviewed By: houseroad, ilia-cher Differential Revision: D6272614 Pulled By: pietern fbshipit-source-id: 7b998b08ec02b03f88a6fd24a949b0d199b2aa37
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
from caffe2.python import core
|
|
from hypothesis import given
|
|
import caffe2.python.hypothesis_test_util as hu
|
|
import hypothesis.strategies as st
|
|
import numpy as np
|
|
|
|
|
|
class TestWeightedSumOp(hu.HypothesisTestCase):
|
|
|
|
@given(n=st.integers(5, 8), m=st.integers(1, 1),
|
|
d=st.integers(2, 4), grad_on_w=st.booleans(),
|
|
**hu.gcs_cpu_only)
|
|
def test_weighted_sum(self, n, m, d, grad_on_w, gc, dc):
|
|
input_names = []
|
|
input_vars = []
|
|
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,
|
|
['Y'],
|
|
grad_on_w=grad_on_w,
|
|
)
|
|
|
|
self.assertReferenceChecks(
|
|
device_option=gc,
|
|
op=op,
|
|
inputs=input_vars,
|
|
reference=weighted_sum_op_ref,
|
|
)
|
|
|
|
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],
|
|
)
|