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.)

			}
		})
	}
}

func TestPVCVolumeMode(t *testing.T) {
	block := core.PersistentVolumeBlock
	file := core.PersistentVolumeFilesystem
	fake := core.PersistentVolumeMode("fake")
	empty := core.PersistentVolumeMode("")

	// Success Cases
	successCasesPVC := map[string]*core.PersistentVolumeClaim{
		"valid block value":      createTestVolModePVC(&block),

      // 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();

211B..211D    ; mapped                 ; 0072          # 1.1  SCRIPT CAPITAL R..DOUBLE-STRUCK CAPITAL R
211E..211F    ; valid                  ;      ; NV8    # 1.1  PRESCRIPTION TAKE..RESPONSE
2120          ; mapped                 ; 0073 006D     # 1.1  SERVICE MARK
2121          ; mapped                 ; 0074 0065 006C #1.1  TELEPHONE SIGN