File size: 3,883 Bytes
71a70fb | 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 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 | # Copyright (c) 2026 Simulacra Research Inc.
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import equinox as eqx
import jax
import jax.numpy as jnp
from hamiltonzero.model import tree_sphere
from .types import (
CanonicalHamiltonian,
FactorizedQSide,
QSideLeafInput,
SharedKernel,
SharedTrunk,
TrunkCompilerKernel,
)
def _qside(hypernet) -> FactorizedQSide:
return FactorizedQSide(V=hypernet.V, U=hypernet.U)
def bind_shared_kernel(model) -> SharedKernel:
return SharedKernel(
q_to_odd=QSideLeafInput(weight=model.q_to_odd.weight),
leaf_factors=(_qside(model.leaf.P_u),),
leaf_combiner_factors=(),
merge_T=model.merge.T,
merge_factors=(_qside(model.merge.output_hypernet),),
readout_factors=(_qside(model.readout.output_hypernet),),
merge_eps=float(model.merge.eps),
)
def bind_trunk_compiler_kernel(model) -> TrunkCompilerKernel:
return TrunkCompilerKernel(
featurizer=model.featurizer,
trunk=model.trunk,
shared_global=model.gladder_post,
)
class _TrunkMaskContext(eqx.Module):
mask: jax.Array
def compile_canonical_shared_trunk(
kernel: TrunkCompilerKernel,
canonical: CanonicalHamiltonian,
) -> SharedTrunk:
if canonical.node_mask.ndim != 2 or canonical.node_mask.shape[0] != 1:
raise ValueError("compiled shared trunk requires exact physical P=1")
if canonical.balanced_mask.shape != canonical.node_mask.shape:
raise ValueError("balanced_mask must match node_mask shape")
graph = canonical.graph_inputs
if graph.node.shape[:2] != canonical.node_mask.shape:
raise ValueError("canonical graph node width must match node_mask")
if graph.edge.shape[:3] != (
1,
canonical.node_mask.shape[1],
canonical.node_mask.shape[1],
):
raise ValueError("canonical graph edge width must match node_mask")
def one(edge_input, node_input, real_mask, balanced_mask):
edge_feat, local_feat, global_feat = kernel.featurizer(
edge_input,
real_mask,
node_input,
)
g_seed = tree_sphere(global_feat.astype(local_feat.dtype))
node_raw, edge_raw, g_seed = kernel.trunk(
_TrunkMaskContext(real_mask),
edge_feat,
local_feat,
g_seed,
)
global_stream = kernel.shared_global(
g_seed.astype(edge_raw.dtype), edge_raw, real_mask
)
return SharedTrunk(
node_raw=node_raw,
edge_raw=edge_raw,
global_raw=global_feat,
global_stream=global_stream,
real_mask=real_mask,
balanced_mask=balanced_mask,
)
return jax.vmap(one)(
graph.edge,
graph.node,
canonical.node_mask,
canonical.balanced_mask,
)
def select_single_physical_trunk(trunk: SharedTrunk) -> SharedTrunk:
leaves = jax.tree_util.tree_leaves(trunk)
if not leaves or any(x.ndim < 1 or x.shape[0] != 1 for x in leaves):
raise ValueError("production SharedTrunk must have exact leading P=1")
return jax.tree_util.tree_map(lambda x: x[0], trunk)
def compile_shared_trunk(model, ctx) -> SharedTrunk:
edge_feat, local_feat, global_feat = model.featurizer(
ctx.J_double_prime,
ctx.mask,
ctx.h_prime,
)
g_seed = tree_sphere(global_feat.astype(local_feat.dtype))
node_raw, edge_raw, g_seed = model.trunk(
ctx,
edge_feat,
local_feat,
g_seed,
)
global_stream = model._gladder_g_stream(edge_raw, ctx.mask, g_seed)
return SharedTrunk(
node_raw=node_raw,
edge_raw=edge_raw,
global_raw=global_feat,
global_stream=global_stream,
real_mask=ctx.mask,
balanced_mask=ctx.bmask,
)
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