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10 changes: 7 additions & 3 deletions lstm/bmi_lstm.py
Original file line number Diff line number Diff line change
Expand Up @@ -59,6 +59,10 @@
import pandas as pd
import torch
import yaml
try:
from yaml import CSafeLoader as SafeLoader
except ImportError:
from yaml import SafeLoader

from . import nextgen_cuda_lstm
from .base import BmiBase
Expand Down Expand Up @@ -147,7 +151,7 @@ def __init__(self, cfg: dict[str, typing.Any], output_scaling_factor_cms: float)
# load training feature scales
scaler_file = cfg["run_dir"] / "train_data/train_data_scaler.yml"
with scaler_file.open("r") as fp:
train_data_scaler = yaml.safe_load(fp)
train_data_scaler = yaml.load(fp, Loader=SafeLoader)
self.scalars = load_training_scalars(cfg, train_data_scaler)

# initialize torch lstm object
Expand Down Expand Up @@ -428,7 +432,7 @@ def initialize(self, config_file: str) -> None:

# read and setup main configuration file
with open(config_file, "r") as fp:
self.cfg_bmi = yaml.safe_load(fp)
self.cfg_bmi = yaml.load(fp, Loader=SafeLoader)
coerce_config(self.cfg_bmi)

# ----------- The output is area normalized, this is needed to un-normalize it
Expand All @@ -440,7 +444,7 @@ def initialize(self, config_file: str) -> None:
# initialize ensemble members
self.ensemble_members = []
for member_cfg_file in self.cfg_bmi["train_cfg_file"]:
cfg = yaml.safe_load(member_cfg_file.read_text())
cfg = yaml.load(member_cfg_file.read_text(), Loader=SafeLoader)
coerce_config(cfg)
member = EnsembleMember(cfg, output_factor_cms)
self.ensemble_members.append(member)
Expand Down