pytorch/caffe2/python/ideep/fc_op_test.py
Gu, Jinghui dbab9b73b6 seperate mkl, mklml, and mkldnn (#12170)
Summary:
1. Remove avx2 support in mkldnn
2. Seperate mkl, mklml, and mkldnn
3. Fix convfusion test case
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12170

Reviewed By: yinghai

Differential Revision: D10207126

Pulled By: orionr

fbshipit-source-id: 1e62eb47943f426a89d57e2d2606439f2b04fd51
2018-10-29 10:52:55 -07:00

37 lines
1.1 KiB
Python

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import unittest
import hypothesis.strategies as st
from hypothesis import given, settings
import numpy as np
from caffe2.python import core, workspace
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.ideep_test_util as mu
@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
class FcTest(hu.HypothesisTestCase):
@given(n=st.integers(1, 5), m=st.integers(1, 5),
k=st.integers(1, 5), **mu.gcs)
def test_fc(self,n, m, k, gc, dc):
X = np.random.rand(m, k).astype(np.float32) - 0.5
W = np.random.rand(n, k).astype(np.float32) - 0.5
b = np.random.rand(n).astype(np.float32) - 0.5
op = core.CreateOperator(
'FC',
['X', 'W', 'b'],
["Y"]
)
self.assertDeviceChecks(dc, op, [X, W, b], [0])
for i in range(3):
self.assertGradientChecks(gc, op, [X, W, b], i, [0])
if __name__ == "__main__":
unittest.main()