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- ## @package mkl_test_util
- # Module caffe2.python.mkl_test_util
- """
- The MKL test utils is a small addition on top of the hypothesis test utils
- under caffe2/python, which allows one to more easily test MKL related
- operators.
- """
- import hypothesis.strategies as st
- from caffe2.proto import caffe2_pb2
- from caffe2.python import workspace
- from caffe2.python import hypothesis_test_util as hu
- cpu_do = hu.cpu_do
- gpu_do = hu.gpu_do
- mkl_do = caffe2_pb2.DeviceOption(device_type=caffe2_pb2.MKLDNN)
- device_options = hu.device_options + (
- [mkl_do] if workspace.C.has_mkldnn else [])
- def device_checker_device_options():
- return st.just(device_options)
- def gradient_checker_device_option():
- return st.sampled_from(device_options)
- gcs = dict(
- gc=gradient_checker_device_option(),
- dc=device_checker_device_options()
- )
- gcs_cpu_only = dict(gc=st.sampled_from([cpu_do]), dc=st.just([cpu_do]))
- gcs_gpu_only = dict(gc=st.sampled_from([gpu_do]), dc=st.just([gpu_do]))
- gcs_mkl_only = dict(gc=st.sampled_from([mkl_do]), dc=st.just([mkl_do]))
- gcs_cpu_mkl = dict(gc=st.sampled_from([cpu_do, mkl_do]), dc=st.just([cpu_do, mkl_do]))
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