code: def __init__(self, x, y, dtype=tf.float32):
      self.x = x
      self.y = y
      self.batch_size = 1  # it's necessary
      self.dtype = dtype
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/neural_compressor/onnx/tensorflow/quantization.py
imports: import numpy
  import tensorflow
  from bigdl.nano.utils.tf import tensors_to_numpy
  from bigdl.nano.deps.onnxruntime.tensorflow.model import KerasONNXRuntimeModel
  from ..quantization import BaseONNXRuntimeQuantization
  from .metric import KerasONNXRuntimeINCMetic
label_desc: Use image node_id 1 to create a new KerasNumpyDataset object  with example: obj = KerasNumpyDataset(x, y, dtype)