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 _compute_conv_without_bias(self, x, kernel):
      conv_without_bias = tf.nn.conv2d(
          input=x,
          filter=kernel,
          strides=[1] + list(self.strides) + [1],
          padding=self.padding,
      )
      return conv_without_bias
  
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 5 for calling the Conv2D obj's underlying member method code with example usage: obj._compute_conv_without_bias(x, kernel) and returns: conv_without_bias