From fc08b62d05723cdc1ce021bb8ba044ca014fb1f7 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 13 三月 2023 18:38:41 +0800
Subject: [PATCH] readme
---
funasr/bin/sond_inference.py | 8 ++++++--
1 files changed, 6 insertions(+), 2 deletions(-)
diff --git a/funasr/bin/sond_inference.py b/funasr/bin/sond_inference.py
index 4767577..ab6d26f 100755
--- a/funasr/bin/sond_inference.py
+++ b/funasr/bin/sond_inference.py
@@ -231,6 +231,7 @@
dur_threshold: int = 10,
out_format: str = "vad",
param_dict: Optional[dict] = None,
+ mode: str = "sond",
**kwargs,
):
assert check_argument_types()
@@ -254,7 +255,7 @@
set_all_random_seed(seed)
# 2a. Build speech2xvec [Optional]
- if param_dict is not None and "extract_profile" in param_dict and param_dict["extract_profile"]:
+ if mode == "sond_demo" and param_dict is not None and "extract_profile" in param_dict and param_dict["extract_profile"]:
assert "sv_train_config" in param_dict, "sv_train_config must be provided param_dict."
assert "sv_model_file" in param_dict, "sv_model_file must be provided in param_dict."
sv_train_config = param_dict["sv_train_config"]
@@ -312,13 +313,16 @@
def _forward(
data_path_and_name_and_type: Sequence[Tuple[str, str, str]] = None,
- raw_inputs: List[List[Union[np.ndarray, torch.Tensor, str]]] = None,
+ raw_inputs: List[List[Union[np.ndarray, torch.Tensor, str, bytes]]] = None,
output_dir_v2: Optional[str] = None,
param_dict: Optional[dict] = None,
):
logging.info("param_dict: {}".format(param_dict))
if data_path_and_name_and_type is None and raw_inputs is not None:
if isinstance(raw_inputs, (list, tuple)):
+ if not isinstance(raw_inputs[0], List):
+ raw_inputs = [raw_inputs]
+
assert all([len(example) >= 2 for example in raw_inputs]), \
"The length of test case in raw_inputs must larger than 1 (>=2)."
--
Gitblit v1.9.1