message: Dot op emitter: Add a comment to clarify why the transpose
  identity is relevant to memory layouts.
diff: @@ -283,6 +283,10 @@ tensorflow::Status DotOpEmitter::EmitCallToRuntime() {
  //
  // (A x B)^T = B^T x A^T
  //
  + // The connection between this identity and memory layout is that the
  + // transpose operation can also be considered as an operation that changes the
  + // memory layout of a matrix from row-major to column-major or vice versa.
  + //
  // Effectively this involves swapping the 'lhs' with 'rhs' and 'm' with 'n'.
  const Shape& lhs_shape = lhs_array_.GetShape();
  