code: def zeros(shape=None, dtype=tf.float32, seed=None):
      """Zeros.
  
      Initialize a tensor with all elements set to zero.
  
      Arguments:
          shape: List of `int`. A shape to initialize a Tensor (optional).
          dtype: The tensor data type.
  
      Returns:
          The Initializer, or an initialized `Tensor` if a shape is specified.
  
      """
      if shape:
          return tf.zeros(shape, dtype=dtype)
      else:
          return tf.constant_initializer(0.0)
  
file_path: tflearn/tflearn/initializations.py
imports: from __future__ import division, print_function, absolute_import
  import math
  import tensorflow.compat.v1
  from .utils import get_from_module
label_desc: Use image node_id 2 for calling a global function with example usage: zeros(shape, dtype, seed) and returns: tf, tf