File size: 1,296 Bytes
5ccb4fd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | # Copyright (c) 2026 Simulacra Research Inc.
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
from typing import Any
import jax
from hamiltonzero.energy.kernel import (
_vmc_energy_custom_lap_finetune,
_vmc_energy_custom_lap_prebuilt,
)
def vmc_energy_custom_lap_compiled(
kernel: Any,
tree: Any,
energy_frame: Any,
q_routed: jax.Array,
*,
chunk_size: int | None = 512,
) -> tuple[jax.Array, jax.Array, jax.Array, jax.Array]:
return _vmc_energy_custom_lap_prebuilt(
kernel,
tree,
energy_frame,
q_routed,
chunk_size=chunk_size,
)
def vmc_energy_custom_lap_finetune(
model: Any,
energy_frame: Any,
q_routed: jax.Array,
*,
chunk_size: int | None = 512,
) -> tuple[jax.Array, jax.Array, jax.Array, jax.Array]:
from hamiltonzero.compiled.model import CompiledFinetuneWaveFunction
if not isinstance(model, CompiledFinetuneWaveFunction):
raise TypeError("fine-tune energy requires CompiledFinetuneWaveFunction")
return _vmc_energy_custom_lap_finetune(
model,
energy_frame,
q_routed,
0.0,
chunk_size=chunk_size,
)
__all__ = [
"vmc_energy_custom_lap_compiled",
"vmc_energy_custom_lap_finetune",
]
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