tensorflow/models · error · ValueError
The BUILDER returns an unexpected instance. The `build_encod
Error message
The BUILDER returns an unexpected instance. The `build_encoder` should returns a tf.Module, tf_keras.Model or tf_keras.layers.Layer. However, we get {encoder.__class__} What it means
Error "The BUILDER returns an unexpected instance. The `build_encoder` should returns a tf.Module, tf_keras.Model or tf_keras.layers.Layer. However, we get {encoder.__class__}" thrown in tensorflow/models.
Source
Thrown at official/nlp/configs/encoders.py:422
kernel_initializer=tf_keras.initializers.TruncatedNormal(
stddev=encoder_cfg.initializer_range),
)
kwargs = dict(
embedding_cfg=embedding_cfg,
hidden_cfg=hidden_cfg,
num_hidden_instances=encoder_cfg.num_layers,
pooled_output_dim=encoder_cfg.hidden_size,
pooler_layer_initializer=tf_keras.initializers.TruncatedNormal(
stddev=encoder_cfg.initializer_range),
return_all_layer_outputs=encoder_cfg.return_all_encoder_outputs,
dict_outputs=True)
return encoder_cls(**kwargs)
if encoder_type == "any":
encoder = encoder_cfg.BUILDER(encoder_cfg)
if not isinstance(encoder,
(tf.Module, tf_keras.Model, tf_keras.layers.Layer)):
raise ValueError("The BUILDER returns an unexpected instance. The "
"`build_encoder` should returns a tf.Module, "
"tf_keras.Model or tf_keras.layers.Layer. However, "
f"we get {encoder.__class__}")
return encoder
if encoder_type == "mobilebert":
return networks.MobileBERTEncoder(
word_vocab_size=encoder_cfg.word_vocab_size,
word_embed_size=encoder_cfg.word_embed_size,
type_vocab_size=encoder_cfg.type_vocab_size,
max_sequence_length=encoder_cfg.max_sequence_length,
num_blocks=encoder_cfg.num_blocks,
hidden_size=encoder_cfg.hidden_size,
num_attention_heads=encoder_cfg.num_attention_heads,
intermediate_size=encoder_cfg.intermediate_size,
intermediate_act_fn=encoder_cfg.hidden_activation,
hidden_dropout_prob=encoder_cfg.hidden_dropout_prob,
attention_probs_dropout_prob=encoder_cfg.attention_probs_dropout_prob,View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/nlp/configs/encoders.py:422 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24).
Data as JSON: /api/errors/212737f6a03416ec.
Report an issue: GitHub.