class_docstr: Single transformer encoder block (MHSA + MLP).
class_docstr_tok: ["Single","transformer","encoder","block","(","MHSA","+","MLP",")","."]
code: def __call__(self, x, deterministic=True):
      y = nn.LayerNorm()(x)
      y = nn.MultiHeadDotProductAttention(
          num_heads=self.num_heads,
          kernel_init=nn.initializers.xavier_uniform(),
          deterministic=deterministic,
      )(y, y)
      y = nn.Dropout(rate=self.dropout)(y, deterministic)
      x = x + y
  
      y = nn.LayerNorm()(x)
      y = MlpBlock(
          mlp_dim=self.mlp_dim,
          dropout=self.dropout,
      )(y, deterministic)
      y = nn.Dropout(rate=self.dropout)(y, deterministic)
      return x + y
  
imports: import functools
  from typing import Any, Optional
  from absl import logging
  import flax
  import flax.linen
  from flax.training import common_utils
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.model_lib.base_models import base_model
  from scenic.model_lib.base_models import classification_model
  from scenic.model_lib.base_models import model_utils
  from scenic.model_lib.base_models import multilabel_classification_model
  from scenic.model_lib.layers import nn_layers
  import scipy
label_desc: Use image node_id 1 for calling the Encoder1DBlock obj's underlying member method code with example usage: obj.__call__(x, deterministic) and returns: unknown