From edb7459e741ef61116afe5dfcdcf586bf1f594c1 Mon Sep 17 00:00:00 2001
From: hnluo <haoneng.lhn@alibaba-inc.com>
Date: 星期二, 04 七月 2023 13:56:08 +0800
Subject: [PATCH] Update test_asr_inference_pipeline.py
---
funasr/bin/asr_inference_launch.py | 16 +++-------------
1 files changed, 3 insertions(+), 13 deletions(-)
diff --git a/funasr/bin/asr_inference_launch.py b/funasr/bin/asr_inference_launch.py
index 5d1b804..5740f92 100644
--- a/funasr/bin/asr_inference_launch.py
+++ b/funasr/bin/asr_inference_launch.py
@@ -21,7 +21,6 @@
import torchaudio
import soundfile
import yaml
-from typeguard import check_argument_types
from funasr.bin.asr_infer import Speech2Text
from funasr.bin.asr_infer import Speech2TextMFCCA
@@ -80,7 +79,6 @@
param_dict: dict = None,
**kwargs,
):
- assert check_argument_types()
ncpu = kwargs.get("ncpu", 1)
torch.set_num_threads(ncpu)
if batch_size > 1:
@@ -240,7 +238,6 @@
param_dict: dict = None,
**kwargs,
):
- assert check_argument_types()
ncpu = kwargs.get("ncpu", 1)
torch.set_num_threads(ncpu)
@@ -481,7 +478,6 @@
param_dict: dict = None,
**kwargs,
):
- assert check_argument_types()
ncpu = kwargs.get("ncpu", 1)
torch.set_num_threads(ncpu)
@@ -749,7 +745,6 @@
param_dict: dict = None,
**kwargs,
):
- assert check_argument_types()
if word_lm_train_config is not None:
raise NotImplementedError("Word LM is not implemented")
@@ -957,7 +952,6 @@
param_dict: dict = None,
**kwargs,
):
- assert check_argument_types()
ncpu = kwargs.get("ncpu", 1)
torch.set_num_threads(ncpu)
if batch_size > 1:
@@ -1126,7 +1120,6 @@
param_dict: dict = None,
**kwargs,
):
- assert check_argument_types()
ncpu = kwargs.get("ncpu", 1)
torch.set_num_threads(ncpu)
if batch_size > 1:
@@ -1314,7 +1307,6 @@
right_context: Number of frames in right context AFTER subsampling.
display_partial_hypotheses: Whether to display partial hypotheses.
"""
- assert check_argument_types()
if batch_size > 1:
raise NotImplementedError("batch decoding is not implemented")
@@ -1357,10 +1349,7 @@
left_context=left_context,
right_context=right_context,
)
- speech2text = Speech2TextTransducer.from_pretrained(
- model_tag=model_tag,
- **speech2text_kwargs,
- )
+ speech2text = Speech2TextTransducer(**speech2text_kwargs)
def _forward(data_path_and_name_and_type,
raw_inputs: Union[np.ndarray, torch.Tensor] = None,
@@ -1464,7 +1453,6 @@
param_dict: dict = None,
**kwargs,
):
- assert check_argument_types()
if batch_size > 1:
raise NotImplementedError("batch decoding is not implemented")
if word_lm_train_config is not None:
@@ -1613,6 +1601,8 @@
return inference_mfcca(**kwargs)
elif mode == "rnnt":
return inference_transducer(**kwargs)
+ elif mode == "bat":
+ return inference_transducer(**kwargs)
elif mode == "sa_asr":
return inference_sa_asr(**kwargs)
else:
--
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