tensorflow/models · error · ValueError

Input shape {input_shape} is inconsistent with num_experts {

Error message

Input shape {input_shape} is inconsistent with num_experts {self.num_experts}.

What it means

Error "Input shape {input_shape} is inconsistent with num_experts {self.num_experts}." thrown in tensorflow/models.

Source

Thrown at official/nlp/modeling/layers/moe.py:459

    self.activation = activation
    self.kernel_initializer = kernel_initializer
    self.bias_initializer = bias_initializer

    self.intermediate_layer = tf_keras.layers.EinsumDense(
        "gech,ehf->gecf",
        output_shape=(self.num_experts, None, d_ff),
        bias_axes="ef",
        kernel_initializer=tf_utils.clone_initializer(self.kernel_initializer),
        bias_initializer=tf_utils.clone_initializer(self.bias_initializer),
        name="intermediate")
    self.inner_dropout_layer = tf_keras.layers.Dropout(
        inner_dropout)
    self.output_dropout_layer = tf_keras.layers.Dropout(output_dropout)

  def build(self, input_shape: Tuple[int, int, int, int]):
    """Creates the input shape dependent output weight variables."""
    if input_shape[1] != self.num_experts:
      raise ValueError(
          f"Input shape {input_shape} is inconsistent with num_experts "
          f"{self.num_experts}.")

    self.output_layer = tf_keras.layers.EinsumDense(
        "gecf,efh->gech",
        output_shape=(self.num_experts, None, input_shape[-1]),
        bias_axes="eh",
        kernel_initializer=tf_utils.clone_initializer(self.kernel_initializer),
        bias_initializer=tf_utils.clone_initializer(self.bias_initializer),
        name="output")

  def call(self,
           inputs: tf.Tensor,
           *,
           training: Optional[bool] = None) -> tf.Tensor:
    """Applies layer to inputs.

    Args:

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/nlp/modeling/layers/moe.py:459 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/1684f6777b408c21. Report an issue: GitHub.