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jundot--omlx/tests/test_mtp_depth_controller.py
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Python

# SPDX-License-Identifier: Apache-2.0
"""Unit tests for the adaptive MTP draft-depth controller.
The controller scores each depth as expected committed tokens over measured
cycle cost and keeps every per-depth cost estimate FRESH via bidirectional,
staleness-directed, duty-bounded probes — no hand-tuned per-chip / per-model
decision constant. These tests exercise the host-side logic in isolation
(no MLX / GPU): warmup measurement, self-calibrated marginal cost, the
wall-time cost EMA and spike guard, bidirectional rival probing (the fix for
the stale-cost depth lock), staleness-directed exploration, and the probe
duty bound on heavy models.
"""
import math
import random
from omlx.patches.mlx_lm_mtp.batch_generator import _DepthController
def _simulate(controller, cycles, p_by_depth, ms_by_depth, seed=0):
"""Drive the controller like the real loop: draft ``cur``, observe outcome."""
rng = random.Random(seed)
for _ in range(cycles):
depth = controller.cur
accepted = 0
for j in range(depth):
if rng.random() < p_by_depth[j]:
accepted += 1
else:
break
controller.observe(depth, accepted, ms_by_depth[depth])
return controller
def test_observe_signature_is_three_positional():
# Guards the call site batch_generator.py: controller.observe(k, m, ms).
c = _DepthController(2)
c.observe(2, 1, 12.5)
assert c.cycles == 1
def test_warmup_measures_every_depth_once():
c = _DepthController(3)
assert c.cur == 3 # sweep walks 3 -> 2 -> 1
c.observe(3, 3, 30.0)
assert c.cur == 2
c.observe(2, 2, 20.0)
assert c.cur == 1
c.observe(1, 1, 10.0)
assert c.t == {1: 10.0, 2: 20.0, 3: 30.0}
assert c._warmup == []
def test_marginal_est_uses_measured_slope_not_prior():
c = _DepthController(3, marginal_ms=7.0)
assert c._marginal_est() == 7.0 # fallback prior before two depths measured
c.t = {1: 10.0, 2: 40.0, 3: 70.0}
assert math.isclose(c._marginal_est(), 30.0, rel_tol=1e-9)
c.t = {1: 10.0, 3: 70.0}
assert math.isclose(c._t_est(2), 10.0 + 30.0 * 1, rel_tol=1e-9)
def test_time_alpha_horizon_is_wall_clock():
c = _DepthController(2)
assert math.isclose(c._time_alpha(c.TAU_MS), 1.0 - math.exp(-1.0), rel_tol=1e-9)
assert c._time_alpha(80.0) > c._time_alpha(8.0)
assert c._time_alpha(0.0) == 0.0
def test_spike_guard_damps_one_off_outlier():
c = _DepthController(2)
c.t[2] = 20.0
c._update_time(2, 200.0) # a 10x spike must not drag the estimate near 200
assert c.t[2] < 60.0
def test_expensive_extra_verify_settles_at_depth_1():
# MoE on a bandwidth-limited chip (M4 Max analog): depth-2 nearly doubles
# the cycle cost at low d2 acceptance, so even starting deep it drops to 1.
c = _DepthController(2)
c._warmup = []
c.p = [0.8, 0.25]
c.t = {1: 10.0, 2: 19.0}
c.cur = 2
assert c._score(1) > c._score(2)
assert c._best() == 1
def test_cheap_extra_verify_keeps_depth_2():
# High-bandwidth chip (M3 Ultra analog) with a genuine depth-2 win: cheap
# extra verify and high d2 acceptance -> the measured score keeps depth 2
# (no shallow bias suppressing a real deep win — the GLM case).
c = _DepthController(2)
c._warmup = []
c.p = [0.85, 0.7]
c.t = {1: 10.0, 2: 10.5}
c.cur = 1
assert c._best() == 2
def test_exact_tie_does_not_move_deeper():
# On an exact score tie, hysteresis + the strict '>' shallow-to-deep scan
# keep the current (shallow) depth: no churn, no drift deeper.
c = _DepthController(2)
c._warmup = []
c.p = [0.5, 0.0]
c.t = {1: 10.0, 2: 10.0}
c.cur = 1
assert math.isclose(c._score(1), c._score(2), rel_tol=1e-12)
assert c._best() == 1
def test_best_rival_is_bidirectional():
# Sitting DEEP with a shallower rival within PROBE_MARGIN: the rival probe
# must target the shallower depth — this is what breaks the depth-2 lock
# (stale-high t[1] can only be corrected by re-running depth 1).
c = _DepthController(2)
c._warmup = []
c.cur = 2
c.p = [0.8, 0.5]
c.t = {1: 11.0, 2: 12.0} # t[1] stale-high; scores land within the margin
assert c._score(2) >= c._score(1) # cur currently looks better...
assert c._best_rival() == 1 # ...but depth 1 is worth re-measuring
# And a clearly-worse rival is not probed (no probe tax).
c2 = _DepthController(2)
c2._warmup = []
c2.cur = 1
c2.p = [0.8, 0.1]
c2.t = {1: 10.0, 2: 19.0}
assert c2._best_rival() is None
def test_most_stale_prefers_unmeasured_then_oldest():
c = _DepthController(3)
c._warmup = []
c.cur = 1
c.t_age = {1: 0.0, 2: 500.0} # depth 3 never measured -> infinitely stale
assert c._most_stale() == 3
c.t_age = {1: 0.0, 2: 900.0, 3: 200.0}
assert c._most_stale() == 2
def test_stale_lock_is_broken_by_repeated_probes():
# Reproduce the measured failure: warmup right after prefill measures t[1]
# inflated (11ms vs true 10ms), the controller settles at depth 2, and
# without bidirectional probes t[1] would never refresh (the depth-2 lock).
# With rival probes re-running depth 1 every ~1s, the slow EMA converges
# over a few bursts and the lock breaks.
c = _DepthController(2)
c._warmup = []
c.cur = 2
c.p = [0.8, 0.3]
c.t = {1: 11.0, 2: 12.0} # stale-high t[1]: hides depth 1's true advantage
c.t_age = {1: 0.0, 2: 0.0}
assert c._best() == 2 # locked on the stale estimate
# Drive real cycles: depth 2 truly costs 12ms, depth 1 truly costs 10ms.
_simulate(c, 1500, p_by_depth=[0.8, 0.3], ms_by_depth={1: 10.0, 2: 12.0})
assert c.t[1] < 10.5 # repeated probes converged t[1] toward the truth
assert c._best() == 1 # lock broken
def test_probe_duty_bound_scales_period_on_heavy_models():
# On a 100ms-cycle model, a 1s cadence would spend ~40% of cycles probing
# (4-cycle burst every 10 cycles). The duty bound stretches the period so
# probes stay under ~PROBE_DUTY of cycles.
c = _DepthController(2)
c._warmup = []
c.cur = 1
c.p = [0.8, 0.25] # rival within PROBE_MARGIN but below HYSTERESIS
c.t = {1: 100.0, 2: 110.0}
c.t_age = {1: 0.0, 2: 0.0}
c._ms_probe = c.PROBE_PERIOD_MS + 1.0 # past the light-model cadence...
c.observe(1, 1, 100.0)
assert c.probe_left == 0 # ...but under the duty-bounded period: no probe
assert c.cur == 1
# Past the duty-bounded period the rival probe fires.
c._ms_probe = c.PROBE_LEN * 100.0 / c.PROBE_DUTY + 1.0
c.observe(1, 1, 100.0)
assert c.probe_left == c.PROBE_LEN
assert c.cur == 2
def test_uncertain_rival_gets_probed_after_wall_clock_period():
c = _DepthController(2)
c._warmup = []
c.probe_left = 0
c.p = [0.85, 0.5]
c.t = {1: 10.0, 2: 13.0}
c.t_age = {1: 0.0, 2: 0.0}
c.cur = 1
c._ms_probe = c.PROBE_PERIOD_MS - 100.0
c.observe(1, 1, 10.0) # under the period -> no probe yet
assert c.probe_left == 0
assert c.cur == 1
c._ms_probe = c.PROBE_PERIOD_MS - 5.0
c.observe(1, 1, 10.0) # crosses the period while rival is close -> probe
assert c.probe_left == c.PROBE_LEN
assert c.cur == 2
def test_exploration_probe_targets_most_stale_depth():
# When the exploration clock lapses, the probe goes to the most-stale
# depth even if it is not a close rival (bounded staleness for all depths).
c = _DepthController(3)
c._warmup = []
c.probe_left = 0
c.cur = 1
c.p = [0.9, 0.1, 0.1] # depths 2/3 score far below depth 1
c.t = {1: 10.0, 2: 30.0, 3: 50.0}
c.t_age = {1: 0.0, 2: 100.0, 3: 9000.0}
assert c._best_rival() is None # no close rival
c._ms_probe = c.PROBE_PERIOD_MS + 1.0
c._ms_explore = c.PROBE_PERIOD_MAX_MS + 1.0
c.observe(1, 1, 10.0)
assert c.probe_left == c.PROBE_LEN
assert c.cur == 3 # the never/least-recently measured depth
def test_probe_burst_completes_and_resets_cadence():
c = _DepthController(2)
c._warmup = []
c.p = [0.85, 0.55]
c.t = {1: 10.0, 2: 11.5}
c.cur = 2
c.probe_left = c.PROBE_LEN
for _ in range(c.PROBE_LEN):
c.observe(2, 1, 11.5)
assert c.probe_left == 0
assert c._ms_probe == 0.0
def test_expensive_extra_verify_settles_at_depth_1_end_to_end():
c = _DepthController(2)
_simulate(c, 200, p_by_depth=[0.8, 0.25], ms_by_depth={1: 10.0, 2: 19.0})
assert c._best() == 1
def test_max_depth_one_is_inert():
c = _DepthController(1)
_simulate(c, 40, p_by_depth=[0.9], ms_by_depth={1: 10.0})
assert c.cur == 1
assert c._best() == 1