class_docstr: Models a simple one variable(y = wx) neural network, and a MSE loss function.
class_docstr_tok: ["Models","a","simple","one","variable","(","y","=","wx",")","neural","network",",","and","a","MSE","loss","function","."]
code: def build_validation_data_loader(self):
      return MySequence(
          self.context.get_per_slot_batch_size(), 100, 1.0, 2.0
      )
  
file_path: determined/harness/tests/experiment/fixtures/ancient-checkpoints/0.17.7-keras/code/model_def.py
imports: import numpy
  import tensorflow
  from tensorflow.keras.layers import Dense
  from tensorflow.keras.losses import mean_squared_error
  from tensorflow.keras.models import Sequential
  from tensorflow.keras.optimizers.legacy import SGD
  from tensorflow.keras.utils import Sequence
  from determined.keras import TFKerasTrial
label_desc: Use image node_id 4 for calling the OneVarTrial obj's underlying member method code with example usage: obj.build_validation_data_loader() and returns: MySequence