File size: 4,960 Bytes
79a20c7 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 | from __future__ import annotations
from dataclasses import replace
from pathlib import Path
import pytest
from dlb.adapters.candi import CANDIAdapter
from dlb.adapters.di4c import Di4CAdapter
from dlb.adapters.duo import DuoAdapter
from dlb.adapters.flm import FLMAdapter
from dlb.adapters.langflow import LangFlowAdapter
from dlb.adapters.mdlm import MDLMAdapter
from dlb.adapters.rdlm import RDLMAdapter
from dlb.adapters.sdtt import SDTTAdapter
from dlb.runner import RunRequest
ROOT = Path(__file__).parents[1]
MANIFEST = ROOT / "data/manifests/conditional-lm1b-c64.json"
def conditional_request(model: str, dataset: str = "lm1b", steps: int = 8) -> RunRequest:
step_count = 1000 if model == "rdlm" else steps
return RunRequest(
run_id=f"{model}-{dataset}-steps-{step_count}",
model_id=model,
dataset_id=dataset,
step_count=step_count,
seed=42,
sample_count=2048,
generation_mode="conditional_prefix",
conditioning_manifest=str(MANIFEST),
conditioning_manifest_sha256="a" * 64,
conditioning_config_sha256="b" * 64,
prefix_length=64,
evaluation_continuation_length=64,
prompt_count=1024,
diversity_prompt_count=256,
completions_per_diversity_prompt=5,
completion_schedule="c0:p0-1023;c1-4:p0-255",
results_root=str(ROOT / "results/conditional"),
)
def run_dir(item: RunRequest) -> Path:
return (
ROOT
/ "results"
/ "conditional"
/ "samples"
/ item.dataset_id
/ item.model_id
/ f"steps_{item.step_count}"
)
def option(command: list[str], key: str) -> str:
index = command.index(key)
return command[index + 1]
def wrapper_option(command: list[str], key: str) -> str:
prefix = key + "="
values = [argument[len(prefix) :] for argument in command if argument.startswith(prefix)]
assert len(values) == 1, (key, command)
return values[0]
@pytest.mark.parametrize(
("model", "adapter"),
[
("flm", FLMAdapter()),
("fmlm", FLMAdapter()),
("duo", DuoAdapter()),
("duo_dcd", DuoAdapter()),
("mdlm", MDLMAdapter()),
("candi", CANDIAdapter()),
("langflow", LangFlowAdapter()),
("rdlm", RDLMAdapter()),
],
)
def test_teacher_command_serializes_complete_conditioning_contract(model: str, adapter) -> None:
request = conditional_request(model)
command = adapter.render_command(request, run_dir(request), dry_run=True)
assert wrapper_option(command, "--generation-mode") == "conditional_prefix"
assert wrapper_option(command, "--conditioning-manifest") == str(MANIFEST)
assert wrapper_option(command, "--conditioning-manifest-sha256") == "a" * 64
assert wrapper_option(command, "--prefix-length") == "64"
assert wrapper_option(command, "--prompt-count") == "1024"
assert wrapper_option(command, "--diversity-prompt-count") == "256"
assert wrapper_option(command, "--completions-per-diversity-prompt") == "5"
assert wrapper_option(command, "--completion-schedule") == "c0:p0-1023;c1-4:p0-255"
@pytest.mark.parametrize(
("model", "adapter"),
[
("mdlm_sdtt", SDTTAdapter()),
("mdlm_di4c", Di4CAdapter("mdlm")),
("duo_di4c", Di4CAdapter("duo")),
],
)
def test_distilled_command_serializes_complete_conditioning_contract(model: str, adapter) -> None:
request = conditional_request(model)
command = adapter.render_command(request, run_dir(request), dry_run=True)
assert option(command, "--generation-mode") == "conditional_prefix"
assert option(command, "--conditioning-manifest") == str(MANIFEST)
assert option(command, "--conditioning-manifest-sha256") == "a" * 64
assert option(command, "--prefix-length") == "64"
assert option(command, "--prompt-count") == "1024"
assert option(command, "--diversity-prompt-count") == "256"
assert option(command, "--completions-per-diversity-prompt") == "5"
assert option(command, "--completion-schedule") == "c0:p0-1023;c1-4:p0-255"
def test_unconditional_command_does_not_emit_conditioning_flags() -> None:
request = replace(conditional_request("mdlm"), generation_mode="unconditional")
request = replace(
request,
conditioning_manifest=None,
conditioning_manifest_sha256=None,
conditioning_config_sha256=None,
prefix_length=None,
evaluation_continuation_length=None,
prompt_count=None,
diversity_prompt_count=None,
completions_per_diversity_prompt=None,
completion_schedule=None,
results_root=None,
sample_count=17,
)
command = MDLMAdapter().render_command(
request,
ROOT / "results" / "samples" / "lm1b" / "mdlm" / "steps_8",
dry_run=True,
)
assert not any("conditioning" in argument or "generation-mode" in argument for argument in command)
|