class_docstr: A subclass of :class:`~ffcv.fields.BytesField` that encodes JSON data.
  
  The writer expects to be passed a dict that is compatible with the JSON specification.
  
  .. warning ::
      Because FFCV is based on tensors/ndarrays the reader and therefore the loader can't give return JSON to the user. This is why we provide :class:`~ffcv.fields.JSONField.unpack` which does the conversion. It's up to the user to call it in the main body of the loop
code: def encode(self, destination, field, malloc):
      # Add null terminating byte
      content = (json.dumps(field) + SEPARATOR).encode(ENCODING)
      field = np.frombuffer(content, dtype="uint8")
      return super().encode(destination, field, malloc)
  
file_path: ffcv/ffcv/fields/json.py
imports: import json
  import torch
  import numpy
  from .bytes import BytesField
label_desc: Use image node_id 2 for calling the JSONField obj's underlying member method code with example usage: obj.encode(destination, field, malloc) and returns: super