tensorflow/models · error · ValueError
The type of input shape argument is not supported, got: %s
Error message
The type of input shape argument is not supported, got: %s
What it means
Error "The type of input shape argument is not supported, got: %s" thrown in tensorflow/models.
Source
Thrown at official/nlp/modeling/layers/rezero_transformer.py:143
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)
)
if len(input_tensor_shape.as_list()) != 3:
raise ValueError(
"TransformerLayer expects a three-dimensional input of "
"shape [batch, sequence, width]."
)
batch_size, sequence_length, hidden_size = input_tensor_shape
if len(input_shape) == 2:
mask_tensor_shape = tf.TensorShape(input_shape[1])
expected_mask_tensor_shape = tf.TensorShape(
[batch_size, sequence_length, sequence_length]
)
if not expected_mask_tensor_shape.is_compatible_with(mask_tensor_shape):
raise ValueError(View on GitHub (pinned to e006f5f0d5)
When it happens
Trigger: Thrown at official/nlp/modeling/layers/rezero_transformer.py:143 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/7f878450031928d9.
Report an issue: GitHub.