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0d5f3654b2
Summary: Github import didn't work and the manual import lost some files. Reviewed By: Yangqing Differential Revision: D4408509 fbshipit-source-id: ec8edb8c02876410f0ef212bde6847a7ba327fe4
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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import unittest
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import numpy as np
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from caffe2.proto import caffe2_pb2
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from caffe2.python import cnn, core, workspace, test_util
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@unittest.skipIf(not workspace.C.has_mkldnn, "Skipping as we do not have mkldnn.")
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class TestMKLBasic(test_util.TestCase):
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def testReLUConsistencyWithCPU(self):
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X = np.random.randn(128, 4096).astype(np.float32)
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mkl_do = core.DeviceOption(caffe2_pb2.MKLDNN)
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# Makes sure that feed works.
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workspace.FeedBlob("X", X)
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workspace.FeedBlob("X_mkl", X, device_option=mkl_do)
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model = cnn.CNNModelHelper()
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# Makes sure that we can run relu.
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model.Relu("X", "Y")
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model.Relu("X_mkl", "Y_mkl", device_option=mkl_do)
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workspace.CreateNet(model.net)
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workspace.RunNet(model.net)
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# makes sure that the results are good.
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np.testing.assert_allclose(
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workspace.FetchBlob("Y"),
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workspace.FetchBlob("Y_mkl"),
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atol=1e-10,
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rtol=1e-10)
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runtime = workspace.BenchmarkNet(model.net.Proto().name, 1, 10, True)
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# The returned runtime is the time of
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# [whole_net, cpu_op, mkl_op]
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# so we will assume that the MKL one runs faster than the CPU one.
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self.assertTrue(runtime[1] >= runtime[2])
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print("CPU runtime {}, MKL runtime {}.".format(runtime[1], runtime[2]))
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if __name__ == '__main__':
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unittest.main()
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