code: def zeros_init() -> Initializer:
      """Builds an initializer that returns a constant array full of zeros.
  
      >>> import jax, jax.numpy as jnp
      >>> from flax.experimental.nnx import initializers
      >>> zeros_initializer = initializers.zeros_init()
      >>> zeros_initializer(jax.random.key(42), (2, 3), jnp.float32)
      Array([[0., 0., 0.],
             [0., 0., 0.]], dtype=float32)
      """
      return zeros
  
imports: import typing
  import jax
  from jax.nn.initializers import constant
  from jax.nn.initializers import delta_orthogonal
  from jax.nn.initializers import glorot_normal
  from jax.nn.initializers import glorot_uniform
  from jax.nn.initializers import he_normal
  from jax.nn.initializers import he_uniform
  from jax.nn.initializers import kaiming_normal
  from jax.nn.initializers import kaiming_uniform
  from jax.nn.initializers import lecun_normal
  from jax.nn.initializers import lecun_uniform
  from jax.nn.initializers import normal
  from jax.nn.initializers import ones
  from jax.nn.initializers import orthogonal
  from jax.nn.initializers import uniform
  from jax.nn.initializers import variance_scaling
  from jax.nn.initializers import xavier_normal
  from jax.nn.initializers import xavier_uniform
  from jax.nn.initializers import zeros
label_desc: Use image node_id 1 for calling a global function with example usage: zeros_init() and returns: zeros