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TheRock/rocm-libraries/projects/composablekernel/tile_engine/sampling/budget.py
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

79 lines
2.4 KiB
Python

# Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
# SPDX-License-Identifier: MIT
"""Op-weighted budget allocation.
Distributes a total instance budget across active ops proportional to
their registered weights. Implements RFC section 3.4.
"""
import json
from pathlib import Path
_DEFAULT_WEIGHTS_FILE = Path(__file__).parent / "op_weights.json"
def load_op_weights(weights_file=None):
"""Load op weights from JSON file.
Returns:
Dict mapping op name to weight (float).
"""
path = Path(weights_file) if weights_file else _DEFAULT_WEIGHTS_FILE
with open(path) as f:
data = json.load(f)
return data["weights"]
def allocate_budget(total_budget, active_ops, weights, strict=True):
"""Distribute total_budget across active_ops proportional to weights.
Args:
total_budget: Total instance budget (e.g. 8000).
active_ops: List of active op names.
weights: Dict mapping op name to weight.
strict: If True, raise ValueError for unweighted active ops.
Returns:
Dict mapping op name to allocated budget (int).
Sum of allocations exactly equals total_budget.
"""
if not active_ops:
return {}
# Check all active ops have weights
missing = [op for op in active_ops if op not in weights]
if missing and strict:
raise ValueError(
f"Active ops without registered weights: {missing}. "
f"Add them to op_weights.json before running with sampling enabled."
)
# Compute weight sum for active ops only
active_weights = {op: weights.get(op, 0.0) for op in active_ops}
total_weight = sum(active_weights.values())
if total_weight <= 0:
# Equal distribution fallback
per_op = total_budget // len(active_ops)
alloc = {op: per_op for op in active_ops}
remainder = total_budget - sum(alloc.values())
for i, op in enumerate(active_ops):
if i < remainder:
alloc[op] += 1
return alloc
# Proportional allocation with floor
alloc = {}
for op in active_ops:
alloc[op] = int(total_budget * active_weights[op] / total_weight)
# Distribute remainder to highest-weight ops
remainder = total_budget - sum(alloc.values())
sorted_ops = sorted(active_ops, key=lambda op: active_weights[op], reverse=True)
for i in range(remainder):
alloc[sorted_ops[i % len(sorted_ops)]] += 1
return alloc