fix pytest error (#1885)

.github/workflows/ci_pipeline.yaml

@@ -31,7 +31,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v4
       with:
-        python-version: 3.9
+        python-version: 3.11
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip==24.0
@@ -40,7 +40,7 @@ jobs:
       shell: bash
       env:
         OS: ubuntu-latest
-        PYTHON: 3.9
+        PYTHON: 3.11
       run: |
         python .github/install_mindspore.py
         pip install -r download.txt
@@ -54,7 +54,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest, windows-latest]
-        python: [3.9]
+        python: [3.11]
     runs-on: ${{ matrix.os }}
     steps:
     - uses: actions/checkout@v3
@@ -118,7 +118,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v4
       with:
-        python-version: 3.9
+        python-version: 3.11
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip==24.0
@@ -127,7 +127,7 @@ jobs:
       shell: bash
       env:
         OS: ubuntu-latest
-        PYTHON: 3.9
+        PYTHON: 3.11
       run: |
         python .github/install_mindspore.py
         pip install -r download.txt
@@ -141,10 +141,10 @@ jobs:
     if: github.event_name == 'push' && github.repository_owner == 'mindspore-lab'
     steps:
     - uses: actions/checkout@v3
-    - name: Set up Python 3.9
+    - name: Set up Python 3.11
       uses: actions/setup-python@v4
       with:
-        python-version: 3.9
+        python-version: 3.11
     - uses: "lvyufeng/action-kaggle-gpu-test@latest"
       with:
         kaggle_username: "${{ secrets.KAGGLE_USERNAME }}"

.github/workflows/doc_rst_check.yaml

@@ -17,7 +17,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v4
       with:
-        python-version: 3.9
+        python-version: 3.11
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip==24.0

mindnlp/__init__.py

@@ -43,6 +43,9 @@
     if SOC in ('ascend910', 'ascend310b'):
         context.set_context(ascend_config={"precision_mode": "allow_mix_precision"})
 
+if version.parse(mindspore.__version__) < version.parse('2.3.0'):
+    mindspore.mint = None
+
 from mindspore import jit as ms_jit
 from mindnlp import patch
 from mindnlp import transformers

mindnlp/sentence/sentence_transformer.py

@@ -43,20 +43,20 @@
 class SentenceTransformer(nn.Sequential):
     def __init__(
             self,
-            model_name_or_path: str | None = None,
-            modules: Iterable[nn.Module] | None = None,
-            prompts: dict[str, str] | None = None,
-            default_prompt_name: str | None = None,
-            similarity_fn_name: str | SimilarityFunction | None = None,
-            cache_folder: str | None = None,
+            model_name_or_path: str = None,
+            modules: Iterable[nn.Module] = None,
+            prompts: dict[str, str] = None,
+            default_prompt_name: str = None,
+            similarity_fn_name: str | SimilarityFunction = None,
+            cache_folder: str = None,
             trust_remote_code: bool = False,
-            revision: str | None = None,
+            revision: str = None,
             local_files_only: bool = False,
-            token: bool | str | None = None,
-            truncate_dim: int | None = None,
-            model_kwargs: dict[str, Any] | None = None,
-            tokenizer_kwargs: dict[str, Any] | None = None,
-            config_kwargs: dict[str, Any] | None = None,
+            token: bool | str = None,
+            truncate_dim: int = None,
+            model_kwargs: dict[str, Any] = None,
+            tokenizer_kwargs: dict[str, Any] = None,
+            config_kwargs: dict[str, Any] = None,
     ):
         self.prompts = prompts or {}
         self.default_prompt_name = default_prompt_name
@@ -193,8 +193,8 @@ def _load_module_class_from_ref(
         class_ref: str,
         model_name_or_path: str,
         trust_remote_code: bool,
-        revision: str | None,
-        model_kwargs: dict[str, Any] | None,
+        revision: str,
+        model_kwargs: dict[str, Any],
     ) -> nn.Module:
         # If the class is from sentence_transformers, we can directly import it,
         # otherwise, we try to import it dynamically, and if that fails, we fall back to the default import
@@ -206,14 +206,14 @@ def _load_module_class_from_ref(
     def _load_sbert_model(
         self,
         model_name_or_path: str,
-        token: bool | str | None,
-        cache_folder: str | None,
-        revision: str | None = None,
+        token: bool | str,
+        cache_folder: str,
+        revision: str = None,
         trust_remote_code: bool = False,
         local_files_only: bool = False,
-        model_kwargs: dict[str, Any] | None = None,
-        tokenizer_kwargs: dict[str, Any] | None = None,
-        config_kwargs: dict[str, Any] | None = None,
+        model_kwargs: dict[str, Any] = None,
+        tokenizer_kwargs: dict[str, Any] = None,
+        config_kwargs: dict[str, Any] = None,
     ) -> dict[str, nn.Module]:
         """
         Loads a full SentenceTransformer model using the modules.json file.
@@ -385,14 +385,14 @@ def _load_sbert_model(
     def _load_auto_model(
         self,
         model_name_or_path: str,
-        token: bool | str | None,
-        cache_folder: str | None,
-        revision: str | None = None,
+        token: bool | str,
+        cache_folder: str,
+        revision: str = None,
         trust_remote_code: bool = False,
         local_files_only: bool = False,
-        model_kwargs: dict[str, Any] | None = None,
-        tokenizer_kwargs: dict[str, Any] | None = None,
-        config_kwargs: dict[str, Any] | None = None,
+        model_kwargs: dict[str, Any] = None,
+        tokenizer_kwargs: dict[str, Any] = None,
+        config_kwargs: dict[str, Any] = None,
     ) -> list[nn.Module]:
         """
         Creates a simple Transformer + Mean Pooling model and returns the modules

tests/core/modules/loss/test_cmrc2018loss.py

@@ -19,7 +19,7 @@
 import mindspore
 from ddt import ddt, data
 from mindspore import Tensor
-from mindnlp.core.modules import CMRC2018Loss
+from mindnlp.common.modules import CMRC2018Loss
 from ....common import MindNLPTestCase
 
 @ddt

tests/core/modules/loss/test_rdrop_loss.py

@@ -20,7 +20,7 @@
 import mindspore
 from ddt import ddt, data
 from mindspore import Tensor
-from mindnlp.core.modules import RDropLoss
+from mindnlp.common.modules import RDropLoss
 from ....common import MindNLPTestCase
 
 @ddt

tests/core/modules/test_crf.py

@@ -23,7 +23,7 @@
 import mindspore
 from mindnlp.core import nn, ops
 
-from mindnlp.core.modules import CRF
+from mindnlp.common.modules import CRF
 
 RANDOM_SEED = 1478754