FM / mkl

/usr/local/lib64/python3.6/site-packages/caffe2/python/mkl/

/usr/local/lib64/python3.6/site-packages/caffe2/python/mkl

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
mkl_concat_op_test.py	1173	0644	edit dl rm
mkl_conv_op_test.py	1684	0644	edit dl rm
mkl_copy_op_test.py	2149	0644	edit dl rm
mkl_elementwise_add_op_test.py	1201	0644	edit dl rm
mkl_elementwise_sum_op_test.py	1334	0644	edit dl rm
mkl_fc_op_test.py	927	0644	edit dl rm
mkl_fc_speed_test.py	3849	0644	edit dl rm
mkl_fill_op_test.py	1019	0644	edit dl rm
mkl_LRN_op_test.py	1160	0644	edit dl rm
mkl_LRN_speed_test.py	3182	0644	edit dl rm
mkl_pool_op_test.py	1332	0644	edit dl rm
mkl_pool_speed_test.py	4210	0644	edit dl rm
mkl_relu_op_test.py	988	0644	edit dl rm
mkl_sbn_op_test.py	3110	0644	edit dl rm
mkl_sbn_speed_test.py	4600	0644	edit dl rm
mkl_sigmoid_op_test.py	833	0644	edit dl rm
mkl_speed_test.py	3079	0644	edit dl rm
mkl_squeeze_op_test.py	968	0644	edit dl rm
rewrite_graph.py	8433	0644	edit dl rm
rewrite_graph_test.py	7889	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/caffe2/python/mkl/mkl_elementwise_add_op_test.py (1201B)

@unittest.skipIf(not workspace.C.has_mkldnn,
                 "Skipping as we do not have mkldnn.")
class MKLElementwiseAddTest(hu.HypothesisTestCase):
    @given(size=st.integers(7, 9),
           input_channels=st.integers(1, 3),
           batch_size=st.integers(1, 3),
           inplace=st.booleans(),
           **mu.gcs)
    def test_mkl_elementwise_add(self,
                                 size,
                                 input_channels,
                                 batch_size,
                                 inplace,
                                 gc,
                                 dc):
        op = core.CreateOperator(
            "Add",
            ["X0", "X1"],
            ["X0" if inplace else "Y"],
        )
        Xs = [np.random.rand(batch_size, input_channels, size, size).astype(
            np.float32) for _ in range(2)]
        self.assertDeviceChecks(dc, op, Xs, [0])

if __name__ == "__main__":
    unittest.main()

import unittest import hypothesis.strategies as st from hypothesis import given import numpy as np from caffe2.python import core, workspace import caffe2.python.hypothesis_test_util as hu import caffe2.python.mkl_test_util as mu @unittest.skipIf(not workspace.C.has_mkldnn, "Skipping as we do not have mkldnn.") class MKLElementwiseAddTest(hu.HypothesisTestCase): @given(size=st.integers(7, 9), input_channels=st.integers(1, 3), batch_size=st.integers(1, 3), inplace=st.booleans(), **mu.gcs) def test_mkl_elementwise_add(self, size, input_channels, batch_size, inplace, gc, dc): op = core.CreateOperator( "Add", ["X0", "X1"], ["X0" if inplace else "Y"], ) Xs = [np.random.rand(batch_size, input_channels, size, size).astype( np.float32) for _ in range(2)] self.assertDeviceChecks(dc, op, Xs, [0]) if __name__ == "__main__": unittest.main()