Method executor_statistics

dali/python/nvidia/dali/pipeline.py:621–644

Returns provided pipeline executor statistics metadata as a dictionary. Each key in the dictionary is the operator name. To enable it use ``executor_statistics`` Available metadata keys for each operator: * ``real_memory_size`` - list of memory sizes that is used by eac

(self)

        return {k: v["epoch_size_padded"] for k, v in meta.items()}

    def executor_statistics(self):
        """Returns provided pipeline executor statistics metadata as a dictionary.
        Each key in the dictionary is the operator name. To enable it use ``executor_statistics``

        Available metadata keys for each operator:

            * ``real_memory_size`` - list of memory sizes that is used by each output of
              the operator. Index in the list corresponds to the output index.

            * ``max_real_memory_size`` - list of maximum tensor size that is used by each output of
              the operator. Index in the list corresponds to the output index.

            * ``reserved_memory_size`` - list of memory sizes that is reserved for each of
              the operator outputs. Index in the list corresponds to the output index.

            * ``max_reserved_memory_size`` - list of maximum memory sizes per tensor that is
              reserved for each of the operator outputs. Index in the list corresponds to
              the output index.

        .. note::
            Executor statistics are available only when ``exec_dynamic=False``.
        """
        self.build()
        return self._pipe.executor_statistics()

    def external_source_shm_statistics(self):
        """Returns parallel external source's statistics regarding shared memory consumption.