class_docstr: TensorFlow implementation for crosstalk
class_docstr_tok: ["TensorFlow","implementation","for","crosstalk"]
docstr: Set session and mapped data for setter/getters
  
  Args:
      sess : The tensorflow session
      data : The input data feed dict for eval
docstr_tok: ["Set","session","and","mapped","data","for","setter\/getters","Args",":","sess",":","The","tensorflow","session","data",":","The","input","data","feed","dict","for","eval"]
code: def set_data(self, sess, data):
      """
      Set session and mapped data for setter/getters
  
      Args:
          sess : The tensorflow session
          data : The input data feed dict for eval
      """
      super(TensorFlowCrosstalk, self).register_funcs(
          TrainableType,
          setter=_trainable_setter(sess),
          getter=_trainable_getter(sess),
      )
      super(TensorFlowCrosstalk, self).register_funcs(
          DictTrainableType,
          setter=_dict_trainable_setter(sess),
          getter=_dict_trainable_getter(sess),
      )
      super(TensorFlowCrosstalk, self).register_funcs(
          VariableType, getter=_variable_getter(sess, data)
      )
      super(TensorFlowCrosstalk, self).register_funcs(
          cstk.Conv2DAttr,
          setter=_conv2d_setter(sess),
          getter=_conv2d_getter(sess),
      )
      super(TensorFlowCrosstalk, self).register_funcs(
          cstk.RnnAttr,
          setter=_rnn_setter(sess),
          getter=_rnn_getter(sess),
      )
      super(TensorFlowCrosstalk, self).register_funcs(
          cstk.EmbedAttr,
          setter=_embed_setter(sess),
          getter=_embed_getter(sess),
      )
  
imports: import tensorflow
  import numpy
  from cntk.contrib import crosstalk
label_desc: Use image node_id 2 for calling the TensorFlowCrosstalk obj's underlying member method code with example usage: obj.set_data(sess, data) without return types