neural-network-focused hardware features such as AVX512_VNNI,
            AVX512_BF16, AMX, etc.
            ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html)
            and newer CPUs.)

      // Merge `in_tensors` and `captured_tensors`. `operandSegmentSizes`
      // has two elements, so it will be merging two operand ranges (the two
      // variadic arguments). Attributes like `batch_timeout_micros` will not
      // make it to the return array.
      auto segment_sizes = getOperation()->getAttrOfType<DenseI32ArrayAttr>(getOperandSegmentSizeAttr());
      return OperandRangeRange(getOperands(), segment_sizes).join();