tensorflow/models · error · ValueError

The input size (%d) is not a multiple of the number of atten

Error message

The input size (%d) is not a multiple of the number of attention heads (%d)

What it means

Error "The input size (%d) is not a multiple of the number of attention heads (%d)" thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/layers/reuse_transformer.py:155

          self._kernel_initializer)
    self._attention_axes = attention_axes

  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))
    einsum_equation = "abc,cd->abd"
    if len(input_tensor_shape.as_list()) > 3:
      einsum_equation = "...bc,cd->...bd"
    hidden_size = input_tensor_shape[-1]
    if self._head_size is None:
      if hidden_size % self._num_heads != 0:
        raise ValueError(
            "The input size (%d) is not a multiple of the number of attention "
            "heads (%d)" % (hidden_size, self._num_heads))
      self._attention_head_size = int(hidden_size // self._num_heads)
    else:
      self._attention_head_size = self._head_size
    common_kwargs = dict(
        kernel_regularizer=self._kernel_regularizer,
        bias_regularizer=self._bias_regularizer,
        activity_regularizer=self._activity_regularizer,
        kernel_constraint=self._kernel_constraint,
        bias_constraint=self._bias_constraint)
    self._attention_layer = attention.ReuseMultiHeadAttention(
        num_heads=self._num_heads,
        key_dim=self._attention_head_size,
        dropout=self._attention_dropout,
        use_bias=self._use_bias,
        kernel_initializer=self._attention_initializer,
        bias_initializer=tf_utils.clone_initializer(self._bias_initializer),

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/layers/reuse_transformer.py:155 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/71958e7f8f5af1f4. Report an issue: GitHub.