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Diffstat (limited to 'tensorflow/core/kernels/mkl_maxpooling_op.cc')
-rw-r--r--tensorflow/core/kernels/mkl_maxpooling_op.cc10
1 files changed, 5 insertions, 5 deletions
diff --git a/tensorflow/core/kernels/mkl_maxpooling_op.cc b/tensorflow/core/kernels/mkl_maxpooling_op.cc
index 0de27ccd60..14607f26e0 100644
--- a/tensorflow/core/kernels/mkl_maxpooling_op.cc
+++ b/tensorflow/core/kernels/mkl_maxpooling_op.cc
@@ -22,7 +22,7 @@ limitations under the License.
#include "tensorflow/core/util/mkl_util.h"
#include "tensorflow/core/util/padding.h"
-#ifdef INTEL_MKL_DNN
+#ifndef INTEL_MKL_ML
#include <algorithm>
#include "mkldnn.hpp"
using mkldnn::algorithm;
@@ -39,8 +39,8 @@ namespace tensorflow {
typedef Eigen::ThreadPoolDevice CPUDevice;
-// For now, MKL-ML is default. So making MKL-DNN not a default choice.
-#ifndef INTEL_MKL_DNN
+// MKL-DNN is now default. MKL-ML must be specified explicitly.
+#ifdef INTEL_MKL_ML
// An implementation of MaxPooling (forward).
template <typename Device, typename T>
@@ -494,7 +494,7 @@ class MklMaxPoolingGradOp : public OpKernel {
bool workspace_enabled_;
}; // MklMaxPoolingGradOp
-#else // INTEL_MKL_DNN is defined
+#else
// An implementation of MaxPooling (forward).
template <typename Device, typename T>
@@ -793,7 +793,7 @@ class MklMaxPoolingGradOp : public MklPoolingBackwardOpBase<T> {
}
}; // MklMaxPoolingGradOp
-#endif // INTEL_MKL_DNN
+#endif // INTEL_MKL_ML
REGISTER_KERNEL_BUILDER(Name("_MklMaxPool")
.Device(DEVICE_CPU)