diff --git a/mindtorch/_apis/gpu.py b/mindtorch/_apis/gpu.py
index f940d011b..8c11c4d8f 100644
--- a/mindtorch/_apis/gpu.py
+++ b/mindtorch/_apis/gpu.py
@@ -277,7 +277,9 @@ def select(condition, x, y):
     if isinstance(y, numbers.Number) or y.ndim == 0:
         y = fill_scalar(condition.shape, y, None)
 
-    return legacy.select(condition, x, y)
+    # return legacy.select(condition, x, y)
+    return add(mul(condition, x), mul(sub(1, condition), y))
+
 
 def round(input, decimals):
     return legacy.round(input, decimals)
diff --git a/mindtorch/_apis/meta.py b/mindtorch/_apis/meta.py
index 831d22e0b..cff8df0f4 100644
--- a/mindtorch/_apis/meta.py
+++ b/mindtorch/_apis/meta.py
@@ -246,8 +246,8 @@ def sqrt(input):
 
 __all__.append('sqrt')
 
-def normal_float_float(mean, std, size, geneartor):
-    out = Tensor_(shape=size, dtype=mindtorch.float32)
+def normal_float_float(mean, std, size, dtype, geneartor):
+    out = Tensor_(shape=size, dtype=dtype)
     return mindtorch.Tensor(out)
 
 
@@ -371,9 +371,24 @@ def greater_equal(input, other):
 
 __all__.append('greater_equal')
 
+def greater(input, other):
+    if isinstance(input, mindtorch.Tensor):
+        return input
+    return other
+
+def less(input, other):
+    if isinstance(input, mindtorch.Tensor):
+        return input
+    return other
+
 def inplace_zero(input):
     return input
 
 def clone(input):
     return input
 
+def select(condition, input, other):
+    return input
+
+def logical_not(input):
+    return input
\ No newline at end of file
diff --git a/tests/test_module/custom_modeling.py b/tests/test_module/custom_modeling.py
index 43b8cc9f3..666cd21cf 100644
--- a/tests/test_module/custom_modeling.py
+++ b/tests/test_module/custom_modeling.py
@@ -1,4 +1,4 @@
-from mindnlp.core import nn
+from mindtorch import nn
 
 from mindnlp.transformers import PreTrainedModel