From 0efc87352ce7d3903dbdedbfa5d01ca5e1cb19e7 Mon Sep 17 00:00:00 2001
From: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
Date: 星期四, 05 十二月 2024 15:15:38 +0800
Subject: [PATCH] Merge pull request #2267 from modelscope/dev_sx2
---
funasr/download/runtime_sdk_download_tool.py | 14 ++++++++++----
1 files changed, 10 insertions(+), 4 deletions(-)
diff --git a/funasr/download/runtime_sdk_download_tool.py b/funasr/download/runtime_sdk_download_tool.py
index 96c6735..fb0ff02 100644
--- a/funasr/download/runtime_sdk_download_tool.py
+++ b/funasr/download/runtime_sdk_download_tool.py
@@ -2,7 +2,7 @@
import argparse
from pathlib import Path
-from funasr.utils.types import str2bool
+from funasr.utils.type_utils import str2bool
def main():
@@ -10,7 +10,7 @@
parser.add_argument("--model-name", type=str, required=True)
parser.add_argument("--export-dir", type=str, required=True)
parser.add_argument("--export", type=str2bool, default=True, help="whether to export model")
- parser.add_argument("--type", type=str, default="onnx", help='["onnx", "torch"]')
+ parser.add_argument("--type", type=str, default="onnx", help='["onnx", "torchscript", "bladedisc"]')
parser.add_argument("--device", type=str, default="cpu", help='["cpu", "cuda"]')
parser.add_argument("--quantize", type=str2bool, default=False, help="export quantized model")
parser.add_argument("--fallback-num", type=int, default=0, help="amp fallback number")
@@ -37,11 +37,17 @@
model_file = os.path.join(model_dir, "model.onnx")
if args.quantize:
model_file = os.path.join(model_dir, "model_quant.onnx")
+ if args.type == "torchscript":
+ model_file = os.path.join(model_dir, "model.torchscript")
+ args.device = "cuda"
+ elif args.type == "bladedisc":
+ model_file = os.path.join(model_dir, "model_blade.torchscript")
+ args.device = "cuda"
if not os.path.exists(model_file):
- print(".onnx is not exist, begin to export onnx")
+ print("model is not exist, begin to export " + model_file)
from funasr import AutoModel
- export_model = AutoModel(model=args.model_name, output_dir=output_dir)
+ export_model = AutoModel(model=args.model_name, output_dir=output_dir, device=args.device)
export_model.export(
quantize=args.quantize,
type=args.type,
--
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