keras-team/keras · error · ValueError
`num_tokens` must be >= 1. Received: num_tokens={num_tokens}
Error message
`num_tokens` must be >= 1. Received: num_tokens={num_tokens}. What it means
Error "`num_tokens` must be >= 1. Received: num_tokens={num_tokens}." thrown in keras-team/keras.
Source
Thrown at keras/src/layers/preprocessing/category_encoding.py:108
):
super().__init__(**kwargs)
# Support deprecated names for output_modes.
if output_mode == "binary":
output_mode = "multi_hot"
# 'output_mode' must be one of ("count", "one_hot", "multi_hot")
if output_mode not in ("count", "one_hot", "multi_hot"):
raise ValueError(f"Unknown arg for output_mode: {output_mode}")
if num_tokens is None:
raise ValueError(
"num_tokens must be set to use this layer. If the "
"number of tokens is not known beforehand, use the "
"IntegerLookup layer instead."
)
if num_tokens < 1:
raise ValueError(
f"`num_tokens` must be >= 1. Received: num_tokens={num_tokens}."
)
self.num_tokens = num_tokens
self.output_mode = output_mode
self.sparse = sparse
self._allow_non_tensor_positional_args = True
self._convert_input_args = False
def _encode(self, inputs, count_weights=None):
inputs = self.backend.core.convert_to_tensor(inputs)
return numerical_utils.encode_categorical_inputs(
inputs,
output_mode=self.output_mode,
depth=self.num_tokens,
dtype=self.dtype,
sparse=self.sparse,
count_weights=count_weights,
backend_module=self.backend,View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/layers/preprocessing/category_encoding.py:108 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25).
Data as JSON: /api/errors/4816ff5bf588c379.
Report an issue: GitHub.