update set_context API for ms2.5 version (#815)

Author: Ash-Lee233

.github/workflows/ci.yml

@@ -20,7 +20,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest]
-        python-version: ["3.8"] #["3.7", "3.8", "3.9"] TBA
+        python-version: ["3.9"] #["3.7", "3.8", "3.9"] TBA
     runs-on: ${{ matrix.os }}
 
     steps:
@@ -35,7 +35,7 @@ jobs:
         pip install -r requirements/dev.txt
         # MindSpore must be installed following the instruction from official web, but not from pypi.
         # That's why we exclude mindspore from requirements.txt. Does this work?
-        pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.3.0/MindSpore/unified/x86_64/mindspore-2.3.0-cp38-cp38-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
+        pip install https://ms-release.obs.cn-north-4.myhuaweicloud.com/2.5.0/MindSpore/unified/x86_64/mindspore-2.5.0-cp39-cp39-linux_x86_64.whl --trusted-host ms-release.obs.cn-north-4.myhuaweicloud.com -i https://pypi.tuna.tsinghua.edu.cn/simple
     - name: Lint with pre-commit
       uses: pre-commit/[email protected]
     - name: Check_Cpplint

deploy/eval_utils/eval_rec.py

@@ -68,7 +68,7 @@ def read_gt_content(filename):
 
 
 if __name__ == "__main__":
-    ms.set_context(device_target="CPU")
+    ms.set_device("CPU")
     parser = argparse.ArgumentParser()
     parser.add_argument("--gt_path", required=True, type=str)
     parser.add_argument("--pred_path", required=True, type=str)

deploy/py_infer/src/data_process/postprocess/builder.py

@@ -26,7 +26,7 @@ def __init__(self, tasks, **kwargs):
         # if check device failed, set device_target="CPU"
         if get_device_status() == 1:
             # FIXME: set_context may be invalid sometimes, it's best to patch to XXXPostprocess.__init__
-            ms.set_context(device_target="CPU")
+            ms.set_device("CPU")
 
     def __call__(self, *args, **kwargs):
         return self._ops_func(*args, **kwargs)

docs/en/tutorials/frequently_asked_questions.md

@@ -116,7 +116,7 @@ For example, the following combination of packages is suitable when the platform
 - `Load dynamic library: libmindspore_ascend.so.2 failed. liboptiling.so: cannot open shared object file: No such file or directory`
 
   ```bash
-  python -c "import mindspore;mindspore.set_context(device_target='Ascend');mindspore.run_check()"
+  python -c "import mindspore;mindspore.set_device('Ascend');mindspore.run_check()"
   [WARNING] ME(60105:13981374421 1776, MainProcess):2023-10-25-08: 14:33.640.411 [mindspore/run_check/_check_version.py:348] Using custom Ascend AI software package (Ascend Data Center Solution) path, package version checking is skipped. Please make sure Ascend AI software package (Ascend Data Center Solution) version is supported. For details, refer to the installation guidelines https://www.mindspore.cn/install
   Traceback (most recent call last):
   File "<string>", line 1, in module>
@@ -412,7 +412,7 @@ Remove the `lanms` item from `requirements.txt`, and run `pip install -r require
   [WARNING] ME(44720:140507814819648,MainProcess):2023-11-01-03:01:38.884.384 [mindspore/run_check/_check_version.py:348] Using custom Ascend AI software package (Ascend Data Center Solution) path, package version checking is skipped. Please make sure Ascend AI software package (Ascend Data Center Solution) version is supported. For details, refer to the installation guidelines https://www.mindspore.cn/install
   [WARNING] ME(44720:140507814819648,MainProcess):2023-11-01-03:01:38.884.675 [mindspore/run_check/_check_version.py:466] Can not find driver so(need by mindspore-ascend). Please check whether the Environment Variable LD_LIBRARY_PATH is set. For details, refer to the installation guidelines: https://www.mindspore.cn/install
   >>> import mindspore.ops as ops
-  >>> ms.set_context(device_target="Ascend")
+  >>> ms.set_device("Ascend")
   >>> ms.run_check()
   MindSpore version:  2.2.0.20231025
   The result of multiplication calculation is correct, MindSpore has been installed on platform [Ascend] successfully!

docs/zh/tutorials/frequently_asked_questions.md

@@ -118,7 +118,7 @@
 - `Load dynamic library: libmindspore_ascend.so.2 failed. liboptiling.so: cannot open shared object file: No such file or directory`
 
   ```bash
-  python -c "import mindspore;mindspore.set_context(device_target='Ascend');mindspore.run_check()"
+  python -c "import mindspore;mindspore.set_device('Ascend');mindspore.run_check()"
   [WARNING] ME(60105:13981374421 1776, MainProcess):2023-10-25-08: 14:33.640.411 [mindspore/run_check/_check_version.py:348] Using custom Ascend AI software package (Ascend Data Center Solution) path, package version checking is skipped. Please make sure Ascend AI software package (Ascend Data Center Solution) version is supported. For details, refer to the installation guidelines https://www.mindspore.cn/install
   Traceback (most recent call last):
   File "<string>", line 1, in module>
@@ -418,7 +418,7 @@ ERROR: Could not build wheels for lanms-neo, which is required to install pyproj
   [WARNING] ME(44720:140507814819648,MainProcess):2023-11-01-03:01:38.884.384 [mindspore/run_check/_check_version.py:348] Using custom Ascend AI software package (Ascend Data Center Solution) path, package version checking is skipped. Please make sure Ascend AI software package (Ascend Data Center Solution) version is supported. For details, refer to the installation guidelines https://www.mindspore.cn/install
   [WARNING] ME(44720:140507814819648,MainProcess):2023-11-01-03:01:38.884.675 [mindspore/run_check/_check_version.py:466] Can not find driver so(need by mindspore-ascend). Please check whether the Environment Variable LD_LIBRARY_PATH is set. For details, refer to the installation guidelines: https://www.mindspore.cn/install
   >>> import mindspore.ops as ops
-  >>> ms.set_context(device_target="Ascend")
+  >>> ms.set_device("Ascend")
   >>> ms.run_check()
   MindSpore version:  2.2.0.20231025
   The result of multiplication calculation is correct, MindSpore has been installed on platform [Ascend] successfully!

mindocr/models/backbones/yolov8_backbone.py

@@ -118,7 +118,8 @@ def yolov8_backbone(
 
 
 def test_yolo_backbone():
-    ms.set_context(mode=ms.PYNATIVE_MODE, device_target='Ascend', device_id=3)
+    ms.set_context(mode=ms.PYNATIVE_MODE)
+    ms.set_device("Ascend", 3)
     ms.set_seed(0)
 
     network = YOLOv8Backbone()

mindocr/models/heads/yolov8_head.py

@@ -124,7 +124,8 @@ def yolov8_head(nc=5, reg_max=16, stride=None, in_channels=None) -> YOLOv8Head:
 
 
 def test_yolov8_head():
-    ms.set_context(mode=ms.PYNATIVE_MODE, device_target='Ascend', device_id=3)
+    ms.set_context(mode=ms.PYNATIVE_MODE)
+    ms.set_device("Ascend", 3)
     ms.set_seed(0)
 
     network = yolov8_head()

tools/infer/text/predict_llm.py

@@ -45,17 +45,13 @@ def __init__(self, args):
         config = LLMConfig(config_path)
         ms.set_context(
             mode=ms.GRAPH_MODE,
-            device_target="Ascend",
-            enable_graph_kernel=False,
-            graph_kernel_flags="--disable_expand_ops=Softmax,Dropout --enable_parallel_fusion=true "
-            "--reduce_fuse_depth=8 --enable_auto_tensor_inplace=true",
-            ascend_config={"precision_mode": "must_keep_origin_dtype"},
-            max_call_depth=10000,
-            max_device_memory="58GB",
             save_graphs=False,
             save_graphs_path="./graph",
-            device_id=os.environ.get("DEVICE_ID", 0),
         )
+        ms.set_recursion_limit(10000)
+        ms.set_device("Ascend", os.environ.get("DEVICE_ID", 0))
+        ms.runtime.set_memory(max_size="58GB")
+        ms.device_context.ascend.op_precision.precision_mode("must_keep_origin_dtype")
         self.tokenizer = QwenTokenizer(**config.processor.tokenizer)
         self.model = VaryQwenForCausalLM.from_pretrained(config_path)
 

tools/train.py

@@ -44,7 +44,7 @@ def main(cfg):
         ms.runtime.set_cpu_affinity(True)
     ms.set_context(mode=cfg.system.mode)
     if cfg.train.max_call_depth:
-        ms.set_context(max_call_depth=cfg.train.max_call_depth)
+        ms.set_recursion_limit(cfg.train.max_call_depth)
     if cfg.system.mode == 0:
         ms.set_context(jit_config={"jit_level": "O2"})
     if cfg.system.distribute: