class_docstr: Note: is ACTUALLY a cross-correlation i.e. weights are not 'flipped'
class_docstr_tok: ["Note",":","is","ACTUALLY","a","cross-correlation","i.e",".","weights","are","not","'flipped","'"]
code: def _build_activation_vars(self, input_act_vars):
      conv_without_bias = self._compute_conv_without_bias(
          input_act_vars, kernel=self.kernel
      )
      return conv_without_bias + self.bias[None, None, :]
  
imports: from __future__ import division
  from __future__ import print_function
  from __future__ import absolute_import
  from .core import *
  from .helper_functions import conv1d_transpose_via_conv2d
  from .None import helper_functions
  import tensorflow
label_desc: Use image node_id 3 for calling the Conv1D obj's underlying member method code with example usage: obj._build_activation_vars(input_act_vars) and returns: unknown