diff options
author | 2018-08-10 22:34:17 -0700 | |
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committer | 2018-08-10 22:38:34 -0700 | |
commit | a8e78e2e617b6ca10f4878fe99fdf43ddedfa7c6 (patch) | |
tree | d6d7d12dc263afbd4faadc034753c498f574fc93 /tensorflow/core/kernels/mkl_tfconv_op.h | |
parent | f97e945914e83bed8cc2d51a27f1394719f0e7b0 (diff) |
Rename MKL-related feature macros.
The existing feature macros are named INTEL_MKL to indicate that any flavor of
MKL is available, INTEL_MKL_ML to indicate that *only* MKL-ML is available
(i.e. MKL-DNN is not), and DO_NOT_USE_ML to indicate that *only* MKL-DNN is
available (i.e. MKL-ML is not).
This change renames INTEL_MKL_ML to INTEL_MKL_ML_ONLY and DO_NOT_USE_ML to
INTEL_MKL_DNN_ONLY. The meanings of the macros have not changed.
This change also adds a few sanity checks to mkl_util.h that ensures that the
combination of INTEL_MKL, INTEL_MKL_ML_ONLY, and INTEL_MKL_DNN_ONLY is
logically consistent: the *_ONLY macros may not both be defined, and if either
of them is defined, bare INTEL_MKL must also be defined.
PiperOrigin-RevId: 208313735
Diffstat (limited to 'tensorflow/core/kernels/mkl_tfconv_op.h')
-rw-r--r-- | tensorflow/core/kernels/mkl_tfconv_op.h | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/core/kernels/mkl_tfconv_op.h b/tensorflow/core/kernels/mkl_tfconv_op.h index a9e92f6638..894c2e34e8 100644 --- a/tensorflow/core/kernels/mkl_tfconv_op.h +++ b/tensorflow/core/kernels/mkl_tfconv_op.h @@ -32,13 +32,13 @@ limitations under the License. #include "tensorflow/core/platform/macros.h" #include "tensorflow/core/util/tensor_format.h" -#ifdef INTEL_MKL_ML +#ifdef INTEL_MKL_ML_ONLY #include "mkl_dnn.h" #include "mkl_dnn_types.h" #endif #include "tensorflow/core/util/mkl_util.h" -#ifndef INTEL_MKL_ML +#ifndef INTEL_MKL_ML_ONLY using mkldnn::stream; #endif @@ -64,7 +64,7 @@ class MklToTfOp : public OpKernel { VLOG(1) << "MKLToTFConversion complete successfully."; } -#ifndef INTEL_MKL_ML +#ifndef INTEL_MKL_ML_ONLY static void ConvertMklToTf(OpKernel* op_kernel, OpKernelContext* context, string data_format_str, DataType op_data_type, bool has_avx512f, uint input_number) { |