cf1cf0f9efbbe378af96c81a4edd82ab294810d9,tensorflow_transform/analyzers.py,_QuantilesGraphState,_make_add_input_callable,#_QuantilesGraphState#Any#Any#Any#,1443

Before Change

    summaries = []
    for summary_ix in range(options.num_features):
      add_prebuilt_summary_op = qaccumulators[summary_ix].add_prebuilt_summary(
          stamp_token=stamp_token, summary=prebuilt_summary[summary_ix])

      with tf.control_dependencies([add_prebuilt_summary_op]):
        // Create op to update the accumulator with new input fed from
        // inputs_placeholder.

After Change

        // digested information is returned as "summary". Many such summaries
        // will be combined by merge_summaries().
        summaries.append(gen_quantile_ops.quantile_accumulator_flush_summary(
            quantile_accumulator_handle=resource_handles[summary_ix],
            stamp_token=stamp_token, next_stamp_token=stamp_token))

    return self._session.make_callable(fetches=summaries, feed_list=feed_list)

Instances