fix all/any/max/min/prod, and disable sum/mean/nansum/nanmean/std/var

framework/api/multithreading_case.py

@@ -41,11 +41,12 @@
     "paddlebase": [
         "test_fill_diagonal_tensor.py",
         "test_multiplex.py",
-        "test_all.py",
-        "test_any.py",
-        "test_max.py",
-        "test_min.py",
-        "test_prod.py",
+        "test_sum.py",
+        "test_mean.py",
+        "test_nansum.py",
+        "test_Tensor_nansum.py",
+        "test_var.py",
+        "test_std.py",
         "test_Tensor_inner.py",
         "test_dot.py",
         "test_inner.py",

framework/api/nn/rnn_base.py

@@ -94,7 +94,7 @@ def numerical_gradients(self):
             tmp0, tmp1 = paddle.to_tensor(tmp0), paddle.to_tensor(tmp1)
             r1, r2 = self.solve_loss(tmp0), self.solve_loss(tmp1)
             g = (r1 - r2) / (2 * self.gap)
-            gradients.append(g[0])
+            gradients.append(g.item())
         return np.array(gradients).reshape(shape)
 
     def solve_loss(self, inputs):

framework/api/paddlebase/test_all.py

@@ -37,7 +37,7 @@ def test_all0():
     default
     """
     x = np.random.randint(-4, 4, (10,))
-    res = np.array([np.all(x)])
+    res = np.all(x)
     obj.base(res=res, x=x)
 
 
@@ -47,7 +47,7 @@ def test_all1():
     x: 2d-tensor
     """
     x = np.random.randint(-4, 4, (10, 10))
-    res = np.array([np.all(x)])
+    res = np.all(x)
     obj.base(res=res, x=x)
 
 
@@ -57,7 +57,7 @@ def test_all2():
     x: 3d-tensor
     """
     x = np.random.randint(-4, 4, (3, 4, 2))
-    res = np.array([np.all(x)])
+    res = np.all(x)
     obj.base(res=res, x=x)
 
 
@@ -67,7 +67,7 @@ def test_all3():
     x: 4d-tensor
     """
     x = np.random.randint(-4, 4, (2, 4, 4, 2))
-    res = np.array([np.all(x)])
+    res = np.all(x)
     obj.base(res=res, x=x)
 
 

framework/api/paddlebase/test_any.py

@@ -37,7 +37,7 @@ def test_any0():
     default
     """
     x = np.random.randint(-4, 4, (10,))
-    res = np.array([np.any(x)])
+    res = np.any(x)
     obj.base(res=res, x=x)
 
 
@@ -47,7 +47,7 @@ def test_any1():
     x: 2d-tensor
     """
     x = np.random.randint(-4, 4, (10, 10))
-    res = np.array([np.any(x)])
+    res = np.any(x)
     obj.base(res=res, x=x)
 
 
@@ -57,7 +57,7 @@ def test_any2():
     x: 3d-tensor
     """
     x = np.random.randint(-4, 4, (3, 4, 2))
-    res = np.array([np.any(x)])
+    res = np.any(x)
     obj.base(res=res, x=x)
 
 
@@ -67,7 +67,7 @@ def test_any3():
     x: 4d-tensor
     """
     x = np.random.randint(-4, 4, (2, 4, 4, 2))
-    res = np.array([np.any(x)])
+    res = np.any(x)
     obj.base(res=res, x=x)
 
 

framework/api/paddlebase/test_max.py

@@ -37,7 +37,7 @@ def test_max_base():
     max_base
     """
     x_data = np.arange(6).reshape(2, 3).astype(np.float32)
-    res = np.array([5])
+    res = np.max(x_data)
     obj.base(res=res, x=x_data)
 
 
@@ -47,7 +47,7 @@ def test_max_2D_tensor():
     max_2D_tensor
     """
     x_data = np.arange(6).reshape(2, 3).astype(np.float32)
-    res = np.array([5])
+    res = np.max(x_data)
     obj.run(res=res, x=x_data)
 
 
@@ -112,5 +112,6 @@ def test_max_1():
     special input
     """
     x_data = np.array([[-1.00595951, -0.20009832], [-0.35623679, -0.95880121]])
-    res = np.array([-0.20009832])
+    res = np.max(x_data)
+    np.array(-0.20009832)
     obj.run(res=res, x=x_data, axis=[-2, 1], keepdim=False)

framework/api/paddlebase/test_min.py

@@ -37,7 +37,7 @@ def test_min_base():
     min_base
     """
     x_data = np.arange(6).reshape(2, 3).astype(np.float32)
-    res = np.array([0])
+    res = np.min(x_data)
     obj.base(res=res, x=x_data)
 
 
@@ -47,7 +47,7 @@ def test_min_2D_tensor():
     min_2D_tensor
     """
     x_data = np.arange(6).reshape(2, 3).astype(np.float32)
-    res = np.array([0])
+    res = np.min(x_data)
     obj.run(res=res, x=x_data)
 
 
@@ -99,7 +99,7 @@ def test_min_1():
     special input
     """
     x_data = np.array([[-1.00595951, -0.20009832], [-0.35623679, -0.95880121]])
-    res = np.array([-1.00595951])
+    res = np.min(x_data)
     obj.run(res=res, x=x_data, axis=[-2, 1], keepdim=False)
 
 

framework/api/paddlebase/test_prod.py

@@ -34,7 +34,7 @@ def test_prod_base():
     axis=None
     """
     x = np.array([[0.8, 0.4], [0.7, 0.9]])
-    res = [np.prod(x)]
+    res = np.prod(x)
     obj.base(res=res, x=x)
 
 
@@ -56,7 +56,7 @@ def test_prod2():
     """
     x = np.array([[0.8, 0.4], [0.7, 0.9]])
     axis = 3
-    obj.exception(mode="c", etype="InvalidArgumentError", x=x, axis=axis)
+    obj.exception(mode="c", etype="InvalidArgument", x=x, axis=axis)
 
 
 @pytest.mark.api_base_prod_parameters
@@ -77,7 +77,7 @@ def test_prod4():
     """
     x = np.array([[0.8, 0.4], [0.7, 0.9]])
     axis = [0, 1]
-    res = [0.2016]
+    res = np.array(0.2016)
     obj.run(res=res, x=x, axis=axis)
 
 
@@ -88,7 +88,7 @@ def test_prod5():
     """
     x = np.array([[0.8, 0.4], [0.7, 0.9]])
     axis = (0, 1)
-    res = [0.2016]
+    res = np.array(0.2016)
     obj.run(res=res, x=x, axis=axis)
 
 
@@ -98,7 +98,7 @@ def test_prod6():
     dtype=float32
     """
     x = np.array([[0.8, 0.4], [0.7, 0.9]])
-    res = [np.prod(x)]
+    res = np.prod(x)
     obj.base(res=res, x=x, dtype="float32")
 
 
@@ -134,7 +134,7 @@ def test_prod8():
     dtype=int64
     """
     x = np.array([[8, 4], [7, 9]])
-    res = [np.prod(x)]
+    res = np.prod(x)
     obj1.base(res=res, x=x, dtype="int64")
 
 
@@ -144,7 +144,7 @@ def test_prod9():
     input is int32, int64
     """
     x = np.array([[3, 5], [6, 2]])
-    res = [np.prod(x)]
+    res = np.prod(x)
     obj1.run(res=res, x=x)