message: Clarify comments around Dynamic ops.
diff: @@ -135,13 +135,18 @@ TrtConversionParams = collections.namedtuple(
  # Whether to generate dynamic TRT ops which will build the TRT network
  # and engine at run time.
  - # This option should be set to True in TF 2.0.
  + # i.e. Since TensorRT version < 6.0 does not support dynamic dimensions
  + # other than the batch dimension, when the TensorFlow graph has a
  + # non-batch dimension of dynamic size, we would need to enable this
  + # option. This option should be set to True in TF 2.0.
  "is_dynamic_op",
  - # Max number of cached TRT engines in dynamic TRT ops. If the number of
  - # cached engines is already at max but none of them can serve the input,
  - # the TRTEngineOp will fall back to run the TF function based on which
  - # the TRTEngineOp is created.
  + # Max number of cached TRT engines for dynamic TRT ops.
  + # Created TRT engines for a dynamic dimension are cached.
  + # This is the maximum number of engines that can be cached.
  + # If the number of cached engines is already at max but none of them
  + # supports the input shapes, the TRTEngineOp will fall back to run the
  + # original TF subgraph that corresponds to the TRTEngineOp.
  "maximum_cached_engines",
  # This argument is ignored if precision_mode is not INT8. If set to
  