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perf(pt): pass is_inference to compile_fx_inner for compiled eval graphs #6056

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perf(pt): pass is_inference to compile_fx_inner for compiled eval graphs #6056

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1e3e40c
perf(pt): pass is_inference to compile_fx_inner for compiled eval graphs
Sep 30, 2026
31067de
refactor(pt): state the inference compiler contract with is_inference…
Oct 15, 2026
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8 changes: 5 additions & 3 deletions deepmd/pt/model/model/sezm_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2370,11 +2370,13 @@ def compute_fn( # type: ignore[misc]
def _inductor_inference_compiler(
fx_gm: torch.fx.GraphModule, fx_inputs: list[Any]
) -> Any:
# This callback lowers the forward-only AOTAutograd inference
# graph (the eval branch below owns it; training compiles
# through the separate torch.compile branch above).
# ``compile_options`` already includes ``triton.max_tiles=1``
# from ``build_inductor_compile_options``, so the 1D launch-grid
# constraint applies to both the training and evaluation graphs.
# from ``build_inductor_compile_options``.
with _ind_cfg.patch(compile_options):
return compile_fx_inner(fx_gm, fx_inputs)
return compile_fx_inner(fx_gm, fx_inputs, is_inference=True)

# select_decomp_table keeps the decomposition set aligned with
# Inductor's fallback set (a mismatch raises an aten._to_copy
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