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Use int type for num_input_tokens in SamplingState. #2005

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Merged
copybara-service merged 1 commit into from
Sep 2, 2026
Merged

Use int type for num_input_tokens in SamplingState. #2005

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4 changes: 2 additions & 2 deletions tunix/generate/sampler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -88,7 +88,7 @@ class _SamplingState:
sampling_mode: str = flax.struct.field(pytree_node=False)

# Number of input tokens with padding.
num_input_tokens: jnp.int32 = flax.struct.field(pytree_node=False)
num_input_tokens: int = flax.struct.field(pytree_node=False)

# Tempurature for top_p sampling.
temperature: float = flax.struct.field(pytree_node=False)
Expand Down Expand Up @@ -483,7 +483,7 @@ def init_sample_state(

return _SamplingState(
decoding_step=num_input_tokens - 1,
num_input_tokens=jnp.array(num_input_tokens, dtype=jnp.int32),
num_input_tokens=int(num_input_tokens),
token_buffer=token_buffer,
positions=positions,
logits_buffer=logits_buffer,
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