update persian model recipe

仁迷

2023-02-09 fdf74bb85cfe3dd0ce6cbaf51ec8d5b3ca3d2039

 funasr/tasks/abs_task.py

@@ -44,11 +44,13 @@
from funasr.iterators.multiple_iter_factory import MultipleIterFactory
from funasr.iterators.sequence_iter_factory import SequenceIterFactory
from funasr.optimizers.sgd import SGD
from funasr.optimizers.fairseq_adam import FairseqAdam
from funasr.samplers.build_batch_sampler import BATCH_TYPES
from funasr.samplers.build_batch_sampler import build_batch_sampler
from funasr.samplers.unsorted_batch_sampler import UnsortedBatchSampler
from funasr.schedulers.noam_lr import NoamLR
from funasr.schedulers.warmup_lr import WarmupLR
from funasr.schedulers.tri_stage_scheduler import TriStageLR
from funasr.torch_utils.load_pretrained_model import load_pretrained_model
from funasr.torch_utils.model_summary import model_summary
from funasr.torch_utils.pytorch_version import pytorch_cudnn_version
@@ -83,6 +85,7 @@

optim_classes = dict(
    adam=torch.optim.Adam,
    fairseq_adam=FairseqAdam,
    adamw=torch.optim.AdamW,
    sgd=SGD,
    adadelta=torch.optim.Adadelta,
@@ -149,6 +152,7 @@
    CosineAnnealingLR=torch.optim.lr_scheduler.CosineAnnealingLR,
    noamlr=NoamLR,
    warmuplr=WarmupLR,
    tri_stage=TriStageLR,
    cycliclr=torch.optim.lr_scheduler.CyclicLR,
    onecyclelr=torch.optim.lr_scheduler.OneCycleLR,
    CosineAnnealingWarmRestarts=torch.optim.lr_scheduler.CosineAnnealingWarmRestarts,
@@ -1783,6 +1787,7 @@
            collate_fn,
            key_file: str = None,
            batch_size: int = 1,
            fs: dict = None,
            dtype: str = np.float32,
            num_workers: int = 1,
            allow_variable_data_keys: bool = False,
@@ -1800,6 +1805,7 @@
        dataset = IterableESPnetDataset(
            data_path_and_name_and_type,
            float_dtype=dtype,
            fs=fs,
            preprocess=preprocess_fn,
            key_file=key_file,
        )