class_docstr: Class for few-shot evaluation.
class_docstr_tok: ["Class","for","few-shot","evaluation","."]
code: def __init__(self, representation_fn, fewshot_config):
      self.config = fewshot_config
      self.shots = fewshot_config.shots
      self.l2_regs = fewshot_config.l2_regs
      self.local_batch_size = (
          fewshot_config.batch_size // jax.process_count()
      )
      self.repr_fn = jax.pmap(
          representation_fn, donate_argnums=(1,), axis_name="batch"
      )
      self.walk_first = fewshot_config.get("walk_first")
      self._datasets = {}
  
imports: import functools
  from typing import Any, Optional, Tuple
  from absl import logging
  from clu import metric_writers
  from flax import jax_utils
  import jax
  import jax.numpy
  import numpy
  from scenic.dataset_lib import dataset_utils
  from scenic.dataset_lib.big_transfer import builder
  from scenic.train_lib import train_utils
  import tensorflow_datasets
label_desc: Use image node_id 1 to create a new FewShotEvaluatorVideo object  with example: obj = FewShotEvaluatorVideo(representation_fn, fewshot_config)