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_fill_op_test.py (1019B)

@unittest.skipIf(not workspace.C.has_mkldnn,
                 "Skipping as we do not have mkldnn.")
class MKLFillTest(hu.HypothesisTestCase):
    @given(n=st.integers(1, 4), c=st.integers(1, 4),
           h=st.integers(1, 4), w=st.integers(1, 4),
           filler=st.sampled_from(
               ["XavierFill", "ConstantFill", "GaussianFill", "MSRAFill"]
           ),
           seed=st.integers(5, 10),
           **mu.gcs_cpu_mkl)
    def test_mkl_fill(self, n, c, h, w, filler, seed, gc, dc):
        op = core.CreateOperator(
            filler,
            [],
            ["Y"],
            shape=[n, c, h, w],
        )
        for d in dc:
            d.random_seed = seed
        self.assertDeviceChecks(dc, op, [], [0])

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

import unittest import hypothesis.strategies as st from hypothesis import given 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 MKLFillTest(hu.HypothesisTestCase): @given(n=st.integers(1, 4), c=st.integers(1, 4), h=st.integers(1, 4), w=st.integers(1, 4), filler=st.sampled_from( ["XavierFill", "ConstantFill", "GaussianFill", "MSRAFill"] ), seed=st.integers(5, 10), **mu.gcs_cpu_mkl) def test_mkl_fill(self, n, c, h, w, filler, seed, gc, dc): op = core.CreateOperator( filler, [], ["Y"], shape=[n, c, h, w], ) for d in dc: d.random_seed = seed self.assertDeviceChecks(dc, op, [], [0]) if __name__ == "__main__": import unittest unittest.main()