Macros definition for using MKL from Eigen

[UILXELA]

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System information

• OS Platform and Distribution Centos 7.2 (e.g., Linux Ubuntu 16.04):
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
• TensorFlow installed from (source or binary): source
• TensorFlow version: 1.13.1 Release
• Python version: 3.6.8
• Installed using virtualenv? pip? conda?: Build from source, no conda
• Bazel version (if compiling from source): 0.20.0
• GCC/Compiler version (if compiling from source): 8.2.0
• CUDA/cuDNN version:
• GPU model and memory:

Describe the problem
In tensorflow/tensorflow/tensorflow.bzl, it defines the macros used for using MKL from Eigen as below:
if_mkl(["-DINTEL_MKL=1", "-DEIGEN_USE_VML"])

However, in Eigen's documentation, the macro is:
-DEIGEN_USE_MKL_VML

Is this intentional? I tried to read both tensorflow's and Eigen's source code but did not find a reason of that.
Thanks.
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[preethivenkatesh]

-DEIGEN_USE_VML is to use pure Eigen (w/o mkl) while -DEIGEN_USE_MKL_VML is enabling the use of inbuilt Intel MKL through Eigen

[tensorflow-bot]

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