code: def relu_layer(x, weights, biases, name=None):
      """Computes Relu(x * weight + biases).
  
      Args:
        x: a 2D tensor.  Dimensions typically: batch, in_units
        weights: a 2D tensor.  Dimensions typically: in_units, out_units
        biases: a 1D tensor.  Dimensions: out_units
        name: A name for the operation (optional).  If not specified
          "nn_relu_layer" is used.
  
      Returns:
        A 2-D Tensor computing relu(matmul(x, weights) + biases).
        Dimensions typically: batch, out_units.
      """
      with ops.name_scope(
          name, "relu_layer", [x, weights, biases]
      ) as name:
          x = ops.convert_to_tensor(x, name="x")
          weights = ops.convert_to_tensor(weights, name="weights")
          biases = ops.convert_to_tensor(biases, name="biases")
          xw_plus_b = nn_ops.bias_add(
              math_ops.matmul(x, weights), biases
          )
          return nn_ops.relu(xw_plus_b, name=name)
  
imports: import math
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import candidate_sampling_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import ctc_ops
  from tensorflow.python.ops import custom_gradient
  from tensorflow.python.ops import embedding_ops
  from tensorflow.python.ops import gen_nn_ops
  from tensorflow.python.ops import gen_sparse_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_fused_batch_norm_grad
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import device_context
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.deprecation import deprecated_args
  from tensorflow.python.util.deprecation import deprecated_argument_lookup
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 6 for calling a global function with example usage: relu_layer(x, weights, biases, name) and returns: nn_ops