From fc2fb0039cd9e4a52501b4de3cd0a401a6ad90a6 Mon Sep 17 00:00:00 2001
From: husichao <husichao@huawei.com>
Date: Mon, 11 Mar 2024 11:26:30 +0800
Subject: [PATCH] Compatible with MindSpore2.3

---
 README.md             | 2 +-
 mindpet/delta/lora.py | 8 +++++++-
 set_up.py             | 2 +-
 3 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 02466c6..f4b57bd 100755
--- a/README.md
+++ b/README.md
@@ -26,7 +26,7 @@ python set_up.py bdist_wheel
 
 执行以下命令安装whl包：
 ```shell
-pip install dist/mindpet-1.0.0-py3-none-any.whl
+pip install dist/mindpet-1.0.4-py3-none-any.whl
 ```
 
 
diff --git a/mindpet/delta/lora.py b/mindpet/delta/lora.py
index 2dd6ddc..4d96c83 100755
--- a/mindpet/delta/lora.py
+++ b/mindpet/delta/lora.py
@@ -21,6 +21,12 @@
 from mindpet.utils.version_control import get_dropout
 
 
+def check_dense_input_shape(x, prim_name=None):
+    msg_prefix = f"For '{prim_name}', the" if prim_name else "The"
+    if len(x) < 2:
+        raise ValueError(f"{msg_prefix} dimension of 'x' should not be less than 2, but got {len(x)}.")
+
+
 class LoRADense(nn.Dense):
     """Define a dense layer with LoRA structure.
 
@@ -86,7 +92,7 @@ def construct(self, input_tensor):
 
         # Shape operations
         x_shape = self.shape_op(input_tensor)
-        nn.layer.basic.check_dense_input_shape(x_shape, self.cls_name)
+        check_dense_input_shape(x_shape, self.cls_name)
         input_tensor = self.reshape(input_tensor, (-1, x_shape[-1]))
 
         # Dense result
diff --git a/set_up.py b/set_up.py
index ea1d1b0..255b207 100755
--- a/set_up.py
+++ b/set_up.py
@@ -12,7 +12,7 @@
 
 
 def get_version():
-    version = '1.0.3'
+    version = '1.0.4'
     return version