@@ -1068,0 +1150,4 @@
+    return cast_to_adapter_tensor(output)
+
+
+def angle(input, *, out=None):

@@ -1068,0 +1287,4 @@
+def bitwise_and(input, other, *, out=None):
+    if out is not None:
+        warnings.warn("do not support parameter out")
+    if isinstance(input, adapter_tensor):

@@ -1068,0 +1298,4 @@
+    else:
+        other_is_bool = isinstance(other, bool)
+    if input_is_bool and other_is_bool:
+        input = input.astype(ms.int8)

@@ -1068,0 +1365,4 @@
+        input = cast_to_ms_tensor(input).asnumpy()
+    if isinstance(other, adapter_tensor):
+        other = cast_to_ms_tensor(other).asnumpy()
+    output = ms.Tensor(np.right_shift(input, other))

@@ -1068,0 +1381,4 @@
+            min = ms.Tensor(min, type)
+        if max is not None:
+            max = ms.Tensor(max, type)
+        output = ms.ops.clip_by_value(input, min, max)

@@ -1068,0 +1413,4 @@
+        else:
+            output = output.astype(other_type)
+    elif is_num or 'Int' in str(other_type):
+        output = output.astype(input_type)

@@ -1068,0 +1551,4 @@
+    mantissa, exponent = np.frexp(input)
+    mantissa = ms.Tensor(mantissa)
+    exponent = ms.Tensor(exponent)
+    return cast_to_ms_tensor(mantissa), cast_to_ms_tensor(exponent)

@@ -1068,0 +1554,4 @@
+    return cast_to_ms_tensor(mantissa), cast_to_ms_tensor(exponent)
+
+
+def gradient(input, *, spacing=1, dim=None, edge_order=1):

@@ -1068,0 +1591,4 @@
+    if isinstance(weight, adapter_tensor):
+        weight = cast_to_ms_tensor(weight)
+    elif not isinstance(weight, float):
+        weight = float(weight)

@@ -1068,0 +1668,4 @@
+        input = ms.ops.clip_by_value(input, eps, 1.0-eps)
+        input = ms.ops.clip_by_value(input, eps, 1.0-eps)
+    output = ms.ops.log(input/(1.0-input))
+    #output = ms.ops.logit(input, eps)

@@ -1069,6 +1071,10 @@ def squeeze(input, dim=None):
     return cast_to_adapter_tensor(output)
 
 
+def from_numpy(np_data):

@@ -992,6 +992,8 @@ def view_as_real(input):
 def bincount(input, weights=None, minlength=0):
     input = cast_to_ms_tensor(input)
     type = 'int64'
+    if 'UInt' in str(input.dtype):