tensorflow/models · error · ValueError
Linformer and Sigmoid attention are not supported in ReZero
Error message
Linformer and Sigmoid attention are not supported in ReZero Transformer.
What it means
Error "Linformer and Sigmoid attention are not supported in ReZero Transformer." thrown in tensorflow/models.
Source
Thrown at official/nlp/modeling/layers/rezero_transformer.py:127
self._dropout_rate = dropout_rate
self._output_range = output_range
self._kernel_initializer = tf_keras.initializers.get(kernel_initializer)
self._bias_initializer = tf_keras.initializers.get(bias_initializer)
self._kernel_regularizer = tf_keras.regularizers.get(kernel_regularizer)
self._bias_regularizer = tf_keras.regularizers.get(bias_regularizer)
self._kernel_constraint = tf_keras.constraints.get(kernel_constraint)
self._bias_constraint = tf_keras.constraints.get(bias_constraint)
self._use_layer_norm = use_layer_norm
self._share_rezero = share_rezero
self._num_kv_heads = num_kv_heads
self._src_block_size = src_block_size
self._tgt_block_size = tgt_block_size
self._linformer_dim = linformer_dim
self._linformer_shared_kv_projection = linformer_shared_kv_projection
self._use_sigmoid_attn = use_sigmoid_attn
self._sigmoid_attn_bias = sigmoid_attn_bias
if self._linformer_dim is not None or self._use_sigmoid_attn:
raise ValueError(
"Linformer and Sigmoid attention are not supported in ReZero"
" Transformer."
)
if self._num_kv_heads is not None and self._src_block_size is not None:
raise ValueError(
"Block sparse attention does not support Multi-query attention."
" Specify only one of them."
)
def build(self, input_shape):
if isinstance(input_shape, tf.TensorShape):
input_tensor_shape = input_shape
elif isinstance(input_shape, (list, tuple)):
input_tensor_shape = tf.TensorShape(input_shape[0])
else:
raise ValueError(
"The type of input shape argument is not supported, got: %s"
% type(input_shape)View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/nlp/modeling/layers/rezero_transformer.py:127 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/765eb3836cfadf0a.
Report an issue: GitHub.