File size: 3,252 Bytes
f15a766 | 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 | from __future__ import annotations
import argparse
import json
from pathlib import Path
from typing import Any
from graphwm.config_graph import GraphWMArgs
from graphwm.models.graph_encoder_pyg import GraphSpatialEncoder
GRAPH_RESAMPLERS = ("query", "perceiver")
GRAPH_MODEL_CONFIG_FIELDS = (
"graph_backbone",
"graph_resampler",
"graph_resampler_layers",
"graph_in_dim",
"edge_in_dim",
"graph_hidden_dim",
"graph_num_layers",
"graph_num_tokens",
"graph_num_heads",
"graph_dropout",
"graph_temporal_layers",
"graph_temporal_heads",
"graph_cond_dim",
)
def add_graph_model_args(parser: argparse.ArgumentParser) -> None:
parser.add_argument("--graph-backbone", choices=GraphSpatialEncoder.SUPPORTED_BACKBONES, default=None)
parser.add_argument("--graph-resampler", choices=GRAPH_RESAMPLERS, default=None)
parser.add_argument("--graph-resampler-layers", type=int, default=None)
parser.add_argument("--graph-hidden-dim", type=int, default=None)
parser.add_argument("--graph-num-layers", type=int, default=None)
parser.add_argument("--graph-num-tokens", type=int, default=None)
parser.add_argument("--graph-num-heads", type=int, default=None)
parser.add_argument("--graph-dropout", type=float, default=None)
parser.add_argument("--graph-temporal-layers", type=int, default=None)
parser.add_argument("--graph-temporal-heads", type=int, default=None)
parser.add_argument("--graph-cond-dim", type=int, default=None)
def apply_graph_model_args(args: GraphWMArgs, cli: Any) -> None:
for cli_name, attr in [
("graph_backbone", "graph_backbone"),
("graph_resampler", "graph_resampler"),
("graph_resampler_layers", "graph_resampler_layers"),
("graph_hidden_dim", "graph_hidden_dim"),
("graph_num_layers", "graph_num_layers"),
("graph_num_tokens", "graph_num_tokens"),
("graph_num_heads", "graph_num_heads"),
("graph_dropout", "graph_dropout"),
("graph_temporal_layers", "graph_temporal_layers"),
("graph_temporal_heads", "graph_temporal_heads"),
("graph_cond_dim", "graph_cond_dim"),
]:
value = getattr(cli, cli_name, None)
if value is not None:
setattr(args, attr, value)
def graph_model_config_dict(args: GraphWMArgs) -> dict[str, Any]:
return {field: getattr(args, field) for field in GRAPH_MODEL_CONFIG_FIELDS}
def graph_config_sidecar_path(ckpt_path: str | Path) -> Path:
path = Path(ckpt_path)
return path.with_name(f"{path.stem}.graph_config.json")
def write_graph_model_config_sidecar(args: GraphWMArgs, ckpt_path: str | Path) -> Path:
sidecar_path = graph_config_sidecar_path(ckpt_path)
sidecar_path.write_text(json.dumps(graph_model_config_dict(args), indent=2), encoding="utf-8")
return sidecar_path
def load_graph_model_config_sidecar(args: GraphWMArgs, ckpt_path: str | Path) -> bool:
sidecar_path = graph_config_sidecar_path(ckpt_path)
if not sidecar_path.exists():
return False
data = json.loads(sidecar_path.read_text(encoding="utf-8"))
for field in GRAPH_MODEL_CONFIG_FIELDS:
if field in data:
setattr(args, field, data[field])
return True
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