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| # SPDX-FileCopyrightText: © 2026 Tenstorrent AI ULC | |
| # SPDX-License-Identifier: Apache-2.0 | |
| """Prefill compiler and trace identity policy.""" | |
| from __future__ import annotations | |
| from dataclasses import dataclass, replace | |
| from typing import Any, Literal | |
| from models.common.llm_runtime.prefill.plan import PrefillRequest | |
| from models.common.llm_runtime.prefill.sampling_helpers import _TILE_SIZE, SamplingPath | |
| from models.common.modules.sampling.params import PreparedSamplingParams | |
| from models.common.sampling.sampling_params import SamplingParams | |
| PrefillVariant = Literal["regular-single", "regular-batched", "chunked"] | |
| class PrefillProgramSignature: | |
| """Material values selecting one eager prefill program variant. | |
| Active row count is deliberately absent: regular paged fill uses ``-1`` | |
| skip rows, so all active counts with the same padded geometry execute the | |
| same compiled program. Sampling remains material because it changes the | |
| postprocessing program family. | |
| """ | |
| operation_variant: PrefillVariant | |
| padded_batch_size: int | |
| invocation_sequence_length: int | |
| page_table_width: int | |
| chunk_page_table_width: int | None | |
| sampling_path: SamplingPath | |
| penalties_enabled: bool = False | |
| logprobs_enabled: bool = False | |
| last_token_tile_start: int | None = None | |
| def key_material(self) -> tuple[tuple[str, str | int | None], ...]: | |
| material = [ | |
| ("operation_variant", self.operation_variant), | |
| ("padded_batch_size", self.padded_batch_size), | |
| ("invocation_sequence_length", self.invocation_sequence_length), | |
| ("page_table_width", self.page_table_width), | |
| ("chunk_page_table_width", self.chunk_page_table_width), | |
| ("sampling_path", self.sampling_path), | |
| ] | |
| if self.penalties_enabled: | |
| material.append(("penalties_enabled", True)) | |
| if self.logprobs_enabled: | |
| material.append(("logprobs_enabled", True)) | |
| material.append(("last_token_tile_start", self.last_token_tile_start)) | |
| return tuple(material) | |
| class PrefillTraceSignature: | |
| """Identity of one static prefill body and persistent input geometry.""" | |
| operation_variant: PrefillVariant | |
| padded_batch_size: int | |
| padded_sequence_length: int | |
| page_table_width: int | |
| chunk_page_table_width: int | None | |
| sampling_path: SamplingPath = "logits" | |
| penalties_enabled: bool = False | |
| logprobs_enabled: bool = False | |
| def key_material(self) -> tuple[tuple[str, str | int | None], ...]: | |
| material = [ | |
| ("operation_variant", self.operation_variant), | |
| ("padded_batch_size", self.padded_batch_size), | |
| ("padded_sequence_length", self.padded_sequence_length), | |
| ("page_table_width", self.page_table_width), | |
| ("chunk_page_table_width", self.chunk_page_table_width), | |
| ] | |
| if self.sampling_path != "logits": | |
| material.append(("sampling_path", self.sampling_path)) | |
| if self.penalties_enabled: | |
| material.append(("penalties_enabled", True)) | |
| if self.logprobs_enabled: | |
| material.append(("logprobs_enabled", True)) | |
| return tuple(material) | |
| class PreparedPrefill: | |
| """A request classified once for eager compilation or traced dispatch.""" | |
| request: PrefillRequest | |
| sampling_params: SamplingParams | None | |
| sampling_path: SamplingPath | |
| program_signatures: tuple[PrefillProgramSignature, ...] | |
| trace_signature: PrefillTraceSignature | None | |
| prepared_sampling: PreparedSamplingParams | None = None | |
| def build_program_signatures( | |
| request: PrefillRequest, | |
| sampling_path: SamplingPath, | |
| *, | |
| static_q128_topk_supported: bool, | |
| penalties_enabled: bool = False, | |
| logprobs_enabled: bool = False, | |
| ) -> tuple[PrefillProgramSignature, ...]: | |
| variant: PrefillVariant | |
| if request.uses_chunked_prefill: | |
| variant = "chunked" | |
| elif request.kind == "batched": | |
| variant = "regular-batched" | |
| else: | |
| variant = "regular-single" | |
| signatures = [] | |
| for chunk in request.chunks: | |
| last_token_tile_start = None | |
| uses_static_q128_topk = ( | |
| static_q128_topk_supported | |
| and sampling_path == "topk" | |
| and request.kind == "single" | |
| and not request.uses_chunked_prefill | |
| and request.padded_sequence_length == 128 | |
| ) | |
| if uses_static_q128_topk or ( | |
| sampling_path == "argmax" | |
| and request.kind == "single" | |
| and not request.uses_chunked_prefill | |
| and request.padded_sequence_length == 128 | |
| ): | |
| relative_last = request.last_token_indices[0] - request.cached_tokens[0] | |
| last_token_tile_start = (relative_last // _TILE_SIZE) * _TILE_SIZE | |
| signatures.append( | |
| PrefillProgramSignature( | |
| operation_variant=variant, | |
| padded_batch_size=request.padded_batch_size, | |
| invocation_sequence_length=chunk.chunk_size, | |
| page_table_width=request.page_table_width, | |
| chunk_page_table_width=( | |
| int(chunk.chunk_page_table.shape[-1]) if chunk.chunk_page_table is not None else None | |
| ), | |
| sampling_path=sampling_path, | |
| penalties_enabled=penalties_enabled, | |
| logprobs_enabled=logprobs_enabled, | |
| last_token_tile_start=last_token_tile_start, | |
| ) | |
| ) | |
| return tuple(dict.fromkeys(signatures)) | |
| def build_trace_signature( | |
| request: PrefillRequest, | |
| *, | |
| trace_enabled: bool, | |
| sampling_path: SamplingPath = "logits", | |
| penalties_enabled: bool = False, | |
| logprobs_enabled: bool = False, | |
| ) -> PrefillTraceSignature | None: | |
| if not trace_enabled: | |
| return None | |
| chunk = request.chunks[0] | |
| return PrefillTraceSignature( | |
| operation_variant=( | |
| "chunked" | |
| if request.uses_chunked_prefill | |
| else "regular-batched" | |
| if request.kind == "batched" | |
| else "regular-single" | |
| ), | |
| padded_batch_size=request.padded_batch_size, | |
| padded_sequence_length=chunk.chunk_size, | |
| page_table_width=request.page_table_width, | |
| chunk_page_table_width=(int(chunk.chunk_page_table.shape[-1]) if chunk.chunk_page_table is not None else None), | |
| sampling_path=sampling_path, | |
| penalties_enabled=penalties_enabled, | |
| logprobs_enabled=logprobs_enabled, | |
| ) | |
| def capture_schema_fingerprint(prepared: PreparedPrefill) -> tuple[Any, ...]: | |
| """Describe the sampling-free hidden trace allocation.""" | |
| hidden_signature = replace( | |
| prepared.trace_signature, | |
| sampling_path="logits", | |
| penalties_enabled=False, | |
| logprobs_enabled=False, | |
| ) | |
| return ( | |
| "prefill-hidden-v2", | |
| hidden_signature, | |
| tuple(field for field, value in hidden_signature.key_material() if value is not None), | |
| ) | |
| def workspace_fingerprint( | |
| prepared: PreparedPrefill, | |
| *, | |
| sampling_output_rows: int, | |
| ) -> tuple[Any, ...]: | |
| """Describe one program alias's separately owned postprocess state.""" | |
| return ( | |
| "prefill-postprocess-v1", | |
| prepared.sampling_path, | |
| sampling_output_rows, | |
| prepared.sampling_params is not None, | |
| ) | |