update new random number when FLAGS_use_currand=ON

framework/api/nn/test_alpha_dropout.py

@@ -258,8 +258,8 @@ def run(self, res_list, data=None, **kwargs):
 
 
 obj = TestAlphaDropout(paddle.nn.AlphaDropout)
-np_random_tensor = np.array([[0.55355287, 0.20714243, 0.01162981], [0.51577556, 0.36369765, 0.26091650]])
-np_random_tensor_gpu = np.array([[0.00224779, 0.50324494, 0.13526054], [0.16112770, 0.79557019, 0.96897715]])
+np_random_tensor = np.array([[0.55355281, 0.20714243, 0.01162981], [0.51577556, 0.36369765, 0.26091650]])
+np_random_tensor_gpu = np.array([[0.35628906, 0.03034166, 0.70878232], [0.20091671, 0.02237142, 0.98958546]])
 
 
 def numpy_alpha_dropout(x, p, random_tensor, training=True):

framework/api/nn/test_initializer_kaiming_uniform.py

@@ -35,6 +35,7 @@ def test_initializer_kaiming_uniform_base():
     """
     base
     """
+    obj.static = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 3, 2, 2]).astype("float32")
     in_channels = 3
@@ -44,7 +45,10 @@ def test_initializer_kaiming_uniform_base():
     padding = 1
     dilation = 1
     res = np.array(
-        [[[[1.1869886, 2.3453705], [1.2281079, 1.0826794]]], [[[0.24804217, 1.8928909], [1.5467637, 1.5817381]]]]
+        [
+            [[[-0.39864674, 0.44492644], [-2.1563835, -0.09215282]]],
+            [[[0.05160024, 0.5901147], [-1.3453339, -1.1876528]]],
+        ]
     )
     if paddle.device.is_compiled_with_cuda() is True:
         obj.base(
@@ -66,6 +70,7 @@ def test_initializer_kaiming_uniform1():
     """
     default
     """
+    obj.dygraph = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 3, 2, 2]).astype("float32")
     in_channels = 3
@@ -114,6 +119,7 @@ def test_initializer_kaiming_uniform2():
     """
     dilation = 2
     """
+    obj.static = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 3, 2, 2]).astype("float32")
     in_channels = 3
@@ -126,18 +132,18 @@ def test_initializer_kaiming_uniform2():
         [
             [
                 [
-                    [0.39888406, 0.14239825, 0.84748095, 1.0942918, 0.7107052, 0.3309278],
-                    [-0.9275552, -0.49287915, 0.6899886, 0.5361054, 0.00426798, -0.12755814],
-                    [-0.75464916, -0.761385, 0.59295094, 0.64171284, -0.0829928, -0.01879808],
-                    [1.0284215, 0.67908627, 0.7174556, 0.04409777, 0.47986156, 0.18009461],
+                    [0.35504752, -0.37692446, 0.05799875, -0.16684613, 0.8788808, 0.23547846],
+                    [-0.7535841, -0.3518779, 0.27215683, -0.1930912, -0.07401706, 0.26988265],
+                    [-0.45363197, -0.6825423, -0.2646422, 0.31390566, 0.49114504, -0.20408536],
+                    [-0.35144585, -0.3957303, -0.8134686, -0.36817482, -0.5290287, -0.54556954],
                 ]
             ],
             [
                 [
-                    [0.3629937, -0.66693234, 0.7846964, 0.919392, 0.3969715, 0.6188619],
-                    [-0.94021267, -0.453328, 0.5836061, 0.5021896, 0.07433788, -0.09116814],
-                    [-0.65587324, -0.4368534, 0.44602627, 0.9121258, 0.00741166, -0.34975865],
-                    [0.915076, 0.69684297, 0.84074783, 0.22948253, 0.43271816, 0.34738517],
+                    [-0.04252443, 0.1658059, -0.09269778, 0.24450657, 0.45426783, 0.46441948],
+                    [-0.7518698, -0.4010634, 0.37955555, 0.02937469, -0.13803437, 0.00215799],
+                    [-0.4779903, -0.4235527, 0.08779142, -0.37562048, 0.09073773, 0.2590201],
+                    [-0.31621772, -0.19313698, -0.8164357, -0.42716488, -0.47560513, -0.3033054],
                 ]
             ],
         ]
@@ -162,6 +168,7 @@ def test_initializer_kaiming_uniform3():
     """
     out_channels = 3 groups=3 data_format="NHWC" output_padding=1
     """
+    obj.dygraph = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 6, 2, 2]).astype("float32").transpose(0, 2, 3, 1)
     in_channels = 6

framework/api/nn/test_initializer_normal.py

@@ -36,14 +36,15 @@ def test_initializer_normal_base():
     base
     weight_attr=paddle.nn.initializer.Normal(mean=0.0, std=2.0)
     """
+    obj.static = False
     x = randtool("float", 0, 1, [2, 3, 4, 4])
     in_channels = 3
     out_channels = 1
     kernel_size = [3, 3]
     stride = 1
     padding = 0
     res = np.array(
-        [[[[9.696032, 6.2314734], [4.5925426, 19.060331]]], [[[14.223241, 13.581673], [6.131522, 9.923124]]]]
+        [[[[2.0433278, -0.2727771], [0.41961208, -5.5582423]]], [[[-1.3874869, -5.1710925], [3.2667, -2.1549852]]]]
     )
     if paddle.device.is_compiled_with_cuda() is True:
         obj.base(
@@ -65,6 +66,7 @@ def test_initializer_normal1():
     kernel_size = [2, 2] stride = 2 padding=0 groups=3
     weight_attr=paddle.nn.initializer.Normal(mean=0.0, std=2.0)
     """
+    obj.dygraph = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 3, 4, 4])
     in_channels = 3
@@ -100,6 +102,7 @@ def test_initializer_normal2():
     kernel_size = [3, 3] stride = 1 padding=1 w=0.7 b=-0.3 data_format="NHWC"
     weight_attr=paddle.nn.initializer.Normal(mean=0.0, std=2.0)
     """
+    obj.static = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 3, 4, 4]).transpose(0, 2, 3, 1)
     in_channels = 3
@@ -110,8 +113,8 @@ def test_initializer_normal2():
     data_format = "NHWC"
     res = np.array(
         [
-            [[[9.696032, 0.757347], [6.2314734, 1.9067024]], [[4.5925426, 0.7299702], [19.060331, 4.5685883]]],
-            [[[14.223241, 6.7473884], [13.581673, 4.739414]], [[6.131522, 1.6402493], [9.923124, 0.7511649]]],
+            [[[2.0433278, -8.995044], [-0.2727771, -1.7580405]], [[0.41961208, -8.936554], [-5.5582423, -10.978077]]],
+            [[[-1.3874869, -18.076727], [-5.1710925, -6.579859]], [[3.2667, -10.983443], [-2.1549852, -11.922855]]],
         ]
     )
     if paddle.device.is_compiled_with_cuda() is True:
@@ -135,6 +138,7 @@ def test_initializer_normal3():
     padding_mode = "reflect"
     weight_attr=paddle.nn.initializer.Normal(mean=0.0, std=2.0)
     """
+    obj.dygraph = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 3, 4, 4])
     in_channels = 3
@@ -170,6 +174,7 @@ def test_initializer_normal4():
     padding_mode = "replicate"
     weight_attr=paddle.nn.initializer.Normal(mean=-1.0, std=2.0)
     """
+    obj.static = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 3, 4, 4])
     in_channels = 3
@@ -180,8 +185,8 @@ def test_initializer_normal4():
     padding_mode = "replicate"
     res = np.array(
         [
-            [[[-0.25635287, 0.6774132, -3.2480803, -7.2378592], [-3.132905, -8.737241, 5.810273, -1.7762027]]],
-            [[[0.8862386, -0.61035603, 4.994542, -5.26088], [-6.272961, -9.037898, -3.7375047, -1.8376815]]],
+            [[[-19.855627, -16.224363, -5.913007, -7.2382164], [-9.950214, -12.91017, -18.8083, -12.357948]]],
+            [[[-9.542725, -13.213186, -14.944015, -10.585907], [-19.823824, -11.902721, -15.815616, -10.774846]]],
         ]
     )
     if paddle.device.is_compiled_with_cuda() is True:
@@ -205,6 +210,7 @@ def test_initializer_normal5():
     padding_mode = "circular"
     weight_attr=paddle.nn.initializer.Normal(mean=2.0, std=5.0)
     """
+    obj.dygraph = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 3, 4, 4])
     in_channels = 3
@@ -240,6 +246,7 @@ def test_initializer_normal6():
     padding_mode = "zeros" dilation = (2, 2)  padding = [1, 2]
     weight_attr=paddle.nn.initializer.Normal(mean=-0.2, std=1.99)
     """
+    obj.static = False
     np.random.seed(obj.seed)
     x = randtool("float", 0, 1, [2, 3, 4, 4])
     in_channels = 3
@@ -249,7 +256,9 @@ def test_initializer_normal6():
     padding = [1, 2]
     dilation = (2, 2)
     padding_mode = "zeros"
-    res = np.array([[[[6.9537334, 3.4081156, 2.5187492, 6.7148337]]], [[[3.6040933, 3.8371656, 2.5087252, 6.355131]]]])
+    res = np.array(
+        [[[[-5.971743, 0.11934806, -5.1818447, -9.398735]]], [[[-5.281911, -2.1525862, -6.082208, -7.7175527]]]]
+    )
     if paddle.device.is_compiled_with_cuda() is True:
         obj.run(
             res=res,

framework/api/paddlebase/test_rand.py

@@ -64,7 +64,7 @@ def test_rand1():
     """
     obj.seed = 1
     # res = np.array([[0, 7], [6, 0]])
-    obj.exception(etype="NotFoundError", shape=[2, 2], dtype=np.int32)
+    obj.exception(etype="NotFound", shape=[2, 2], dtype=np.int32)
 
 
 @skip_platform_not_linux
@@ -108,5 +108,5 @@ def test_rand5():
     """
     obj.places = [fluid.CUDAPlace(0)]
     obj.seed = 33
-    res = np.array([[7.4177142e-04, 8.0607080e-01], [8.4463596e-01, 4.2317215e-01]])
+    res = np.array([[0.7515413, 0.72745854], [0.7739062, 0.41597638]])
     obj.run(res=res, shape=np.array([2, 2]))

framework/api/paddlebase/test_randint.py

@@ -11,7 +11,7 @@
 import numpy as np
 
 sys.path.append("../..")
-from utils.interceptor import skip_platform_not_linux
+from utils.interceptor import skip_platform_not_linux, skip_not_compile_gpu
 
 
 class TestRandint(APIBase):
@@ -34,13 +34,15 @@ def hook(self):
 obj = TestRandint(paddle.randint)
 
 
+@skip_not_compile_gpu
 @skip_platform_not_linux
 @pytest.mark.api_base_randint_vartype
 def test_randint_base():
     """
     base
     """
-    res = np.array([[9, 9], [5, 8]])
+    obj.places = [paddle.CUDAPlace(0)]
+    res = np.array([[5, 4], [9, 2]])
     obj.base(res=res, low=0, high=10, shape=[2, 2])
 
 
@@ -50,18 +52,21 @@ def test_randint():
     """
     default
     """
+    obj.places = [paddle.CPUPlace()]
     res = np.array([[[9, 9], [5, 8], [3, 4]], [[9, 4], [4, 7], [2, 9]], [[8, 4], [6, 2], [9, 3]]])
     obj.run(res=res, low=0, high=10, shape=[3, 3, 2])
 
 
+@skip_not_compile_gpu
 @skip_platform_not_linux
 @pytest.mark.api_base_randint_parameters
 def test_randint1():
     """
     seed = 1
     """
     obj.seed = 1
-    res = np.array([[0, 7], [6, 0]])
+    obj.places = [paddle.CUDAPlace(0)]
+    res = np.array([[2, 0], [9, 7]])
     obj.run(res=res, low=0, high=10, shape=[2, 2])
 
 
@@ -82,6 +87,7 @@ def test_randint3():
     dtype is int64
     """
     obj.seed = 1
+    obj.places = [paddle.CPUPlace()]
     res = np.array([[0, 7], [6, 0]])
     obj.run(res=res, low=0, high=10, shape=[2, 2], dtype=np.int64)
 
@@ -93,7 +99,7 @@ def test_randint4():
     exception dtype is float BUG
     """
     # res = np.array([[9, 9], [5, 8]])
-    obj.exception(etype="NotFoundError", low=0, high=10, shape=[2, 2], dtype=np.float32)
+    obj.exception(etype="NotFound", low=0, high=10, shape=[2, 2], dtype=np.float32)
 
 
 @skip_platform_not_linux
@@ -103,7 +109,7 @@ def test_randint5():
     exception low > high
     """
     # res = np.array([[9, 9], [5, 8]])
-    obj.exception(etype="InvalidArgumentError", low=100, high=10, shape=[2, 2])
+    obj.exception(etype="InvalidArgument", low=100, high=10, shape=[2, 2])
 
 
 @skip_platform_not_linux

framework/api/paddlebase/test_randn.py

@@ -64,7 +64,7 @@ def test_randn1():
     """
     obj.seed = 1
     # res = np.array([[0, 7], [6, 0]])
-    obj.exception(etype="NotFoundError", shape=[2, 2], dtype=np.int32)
+    obj.exception(etype="NotFound", shape=[2, 2], dtype=np.int32)
 
 
 @skip_platform_not_linux
@@ -108,5 +108,5 @@ def test_randn5():
     """
     obj.places = [fluid.CUDAPlace(0)]
     obj.seed = 1
-    res = np.array([[-4.080414, -1.3719953], [0.2568497, 1.2351426]])
+    res = np.array([[-0.296278, 2.676448], [-0.14084621, -0.84409523]])
     obj.run(res=res, shape=np.array([2, 2]))

framework/api/paddlebase/test_randperm.py

@@ -12,7 +12,7 @@
 import numpy as np
 
 sys.path.append("../..")
-from utils.interceptor import skip_platform_not_linux
+from utils.interceptor import skip_platform_not_linux, skip_not_compile_gpu
 
 
 class TestRandperm(APIBase):
@@ -40,18 +40,21 @@ def test_randperm_base():
     """
     base
     """
+    obj.places = [paddle.CPUPlace()]
     res = np.array([0, 1, 4, 3, 2, 5])
     n = 6
     obj.base(res=res, n=n)
 
 
+@skip_not_compile_gpu
 @skip_platform_not_linux
 @pytest.mark.api_base_randperm_parameters
 def test_randperm():
     """
     default
     """
-    res = np.array([9, 1, 7, 8, 2, 5, 6, 4, 3, 0])
+    obj.places = [paddle.CUDAPlace(0)]
+    res = np.array([9, 4, 0, 7, 1, 5, 2, 3, 6, 8])
     n = 10
     obj.run(res=res, n=n)
 
@@ -62,20 +65,23 @@ def test_randperm1():
     """
     seed = 1
     """
+    obj.places = [paddle.CPUPlace()]
     obj.seed = 1
     res = np.array([6, 3, 7, 8, 9, 2, 1, 5, 4, 0])
     n = 10
     obj.run(res=res, n=n)
 
 
+@skip_not_compile_gpu
 @skip_platform_not_linux
 @pytest.mark.api_base_randperm_parameters
 def test_randperm2():
     """
     dtype = np.float32
     """
+    obj.places = [paddle.CUDAPlace(0)]
     obj.seed = 33
-    res = np.array([9.0, 1.0, 7.0, 8.0, 2.0, 5.0, 6.0, 4.0, 3.0, 0.0])
+    res = np.array([9.0, 4.0, 0.0, 7.0, 1.0, 5.0, 2.0, 3.0, 6.0, 8.0])
     n = 10
     obj.run(res=res, n=n, dtype=np.float32)
 
@@ -89,7 +95,7 @@ def test_randperm3():
     obj.seed = 33
     # res = np.array([0.0, 1.0, 6.0, 2.0, 9.0, 3.0, 5.0, 7.0, 4.0, 8.0])
     n = -1
-    obj.exception(etype="InvalidArgumentError", n=n, dtype=np.float32)
+    obj.exception(etype="InvalidArgument", n=n, dtype=np.float32)
 
 
 @skip_platform_not_linux
@@ -101,4 +107,4 @@ def test_randperm4():
     obj.seed = 33
     # res = np.array([0.0, 1.0, 6.0, 2.0, 9.0, 3.0, 5.0, 7.0, 4.0, 8.0])
     n = -1
-    obj.exception(etype="NotFoundError", n=n, dtype=np.int8)
+    obj.exception(etype="NotFound", n=n, dtype=np.int8)

framework/api/run_paddle_ci.sh

@@ -1,6 +1,7 @@
 home=$PWD
 python3.7 -m pip install pytest
 python3.7 -m pip install scipy
+export FLAGS_use_curand=1
 
 case_dir_list=('fft' 'device' 'incubate' 'linalg' 'paddlebase' 'loss' 'nn' 'optimizer')
 result_array=()

framework/run.sh

@@ -2,7 +2,7 @@ home=$PWD
 echo "branch is ${AGILE_COMPILE_BRANCH}"
 python3.7 -m pip install pytest
 python3.7 -m pip install scipy
-
+export FLAGS_use_curand=1
 
 # api
 cd api