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58f7f2b441
Summary: Closes https://github.com/caffe2/caffe2/pull/226 Differential Revision: D4793550 Pulled By: JoelMarcey fbshipit-source-id: cc33e58186304fa8dcac2ee9115dcc271d785b1e
43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
## @package mkl_test_util
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# Module caffe2.python.mkl_test_util
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"""
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The MKL test utils is a small addition on top of the hypothesis test utils
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under caffe2/python, which allows one to more easily test MKL related
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operators.
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"""
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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 hypothesis.strategies as st
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from caffe2.proto import caffe2_pb2
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from caffe2.python import workspace
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from caffe2.python import hypothesis_test_util as hu
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cpu_do = hu.cpu_do
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gpu_do = hu.gpu_do
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mkl_do = caffe2_pb2.DeviceOption(device_type=caffe2_pb2.MKLDNN)
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device_options = hu.device_options + (
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[mkl_do] if workspace.C.has_mkldnn else [])
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def device_checker_device_options():
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return st.just(device_options)
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def gradient_checker_device_option():
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return st.sampled_from(device_options)
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gcs = dict(
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gc=gradient_checker_device_option(),
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dc=device_checker_device_options()
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)
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gcs_cpu_only = dict(gc=st.sampled_from([cpu_do]), dc=st.just([cpu_do]))
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gcs_gpu_only = dict(gc=st.sampled_from([gpu_do]), dc=st.just([gpu_do]))
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gcs_mkl_only = dict(gc=st.sampled_from([mkl_do]), dc=st.just([mkl_do]))
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