Replace some op_test.get_places() - part7

test/legacy_test/test_activation_op.py

@@ -18,7 +18,7 @@
 from contextlib import contextmanager
 
 import numpy as np
-from op_test import OpTest, convert_float_to_uint16
+from op_test import OpTest, convert_float_to_uint16, get_places
 from scipy.special import erf, expit
 from utils import static_guard
 
@@ -328,15 +328,7 @@ def setUp(self):
         self.x = np.random.uniform(0.1, 1, self.shape).astype(self.dtype)
         self.out_ref = np.expm1(self.x)
 
-        self.place = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            self.place.append(paddle.CPUPlace())
-        if core.is_compiled_with_cuda():
-            self.place.append(paddle.CUDAPlace(0))
+        self.place = get_places()
 
     def test_static_api(self):
         def run(place):

test/legacy_test/test_activation_sparse_op.py

@@ -12,11 +12,11 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import unittest
 
 import numpy as np
 from op import Operator
+from op_test import get_places
 
 import paddle
 from paddle.base import core
@@ -52,16 +52,7 @@ def check_with_place(self, place):
         np.testing.assert_array_equal(result_array, np.square(np_array))
 
     def test_sparse_acti(self):
-        places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            places.append(core.CPUPlace())
-        if core.is_compiled_with_cuda():
-            places.append(core.CUDAPlace(0))
-        for place in places:
+        for place in get_places():
             self.check_with_place(place)
 
 
@@ -94,16 +85,7 @@ def check_with_place(self, place):
         np.testing.assert_allclose(result_array, np.sqrt(np_array), rtol=1e-05)
 
     def test_sparse_acti(self):
-        places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            places.append(core.CPUPlace())
-        if core.is_compiled_with_cuda():
-            places.append(core.CUDAPlace(0))
-        for place in places:
+        for place in get_places():
             self.check_with_place(place)
 
 

test/legacy_test/test_adagrad_op.py

@@ -18,7 +18,7 @@
 
 import numpy as np
 from op import Operator
-from op_test import OpTest
+from op_test import OpTest, get_places
 
 import paddle
 from paddle.base import core
@@ -205,16 +205,7 @@ def get_out(param, lr, grad, m, epsilon):
         )
 
     def test_sparse_adagrad(self):
-        places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            places.append(core.CPUPlace())
-        if core.is_compiled_with_cuda():
-            places.append(core.CUDAPlace(0))
-        for place in places:
+        for place in get_places():
             self.check_with_place(place)
 
 

test/legacy_test/test_adam_op.py

@@ -17,7 +17,7 @@
 
 import numpy as np
 from op import Operator
-from op_test import OpTest
+from op_test import OpTest, get_places
 
 import paddle
 from paddle import base
@@ -577,16 +577,7 @@ def check_with_place(self, place, lazy_mode):
                 self.assertLess((actual[i] - np_array[i]), 0.00001)
 
     def test_sparse_adam(self):
-        places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            places.append(core.CPUPlace())
-        if core.is_compiled_with_cuda():
-            places.append(core.CUDAPlace(0))
-        for place in places:
+        for place in get_places():
             for lazy_mode in (True, False):
                 self.check_with_place(place, lazy_mode)
 

test/legacy_test/test_adam_optimizer_fp32_fp64.py

@@ -12,28 +12,15 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import unittest
 
+from op_test import get_places
 from utils import static_guard
 
 import paddle
 from paddle import base
 
 
-def get_places():
-    places = []
-    if (
-        os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-        in ['1', 'true', 'on']
-        or not base.is_compiled_with_cuda()
-    ):
-        places.append(base.CPUPlace())
-    if base.is_compiled_with_cuda():
-        places.append(base.CUDAPlace(0))
-    return places
-
-
 def main_test_func(place, dtype):
     with static_guard():
         main = base.Program()

test/legacy_test/test_adaptive_avg_pool1d.py

@@ -16,6 +16,7 @@
 import unittest
 
 import numpy as np
+from op_test import get_places
 
 import paddle
 import paddle.nn.functional as F
@@ -83,15 +84,7 @@ def avg_pool1D_forward_naive(
 class TestPool1D_API(unittest.TestCase):
     def setUp(self):
         np.random.seed(123)
-        self.places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            self.places.append(base.CPUPlace())
-        if core.is_compiled_with_cuda():
-            self.places.append(base.CUDAPlace(0))
+        self.places = get_places()
 
     def check_adaptive_avg_dygraph_results(self, place):
         with base.dygraph.guard(place):

test/legacy_test/test_adaptive_max_pool1d.py

@@ -12,16 +12,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import unittest
 
 import numpy as np
-from op_test import check_out_dtype, paddle_static_guard
+from op_test import check_out_dtype, get_places, paddle_static_guard
 
 import paddle
 import paddle.nn.functional as F
 from paddle import base
-from paddle.base import core
 
 
 def adaptive_start_index(index, input_size, output_size):
@@ -74,15 +72,7 @@ def max_pool1D_forward_naive(
 class TestPool1D_API(unittest.TestCase):
     def setUp(self):
         np.random.seed(123)
-        self.places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            self.places.append(base.CPUPlace())
-        if core.is_compiled_with_cuda():
-            self.places.append(base.CUDAPlace(0))
+        self.places = get_places()
 
     def check_adaptive_max_dygraph_results(self, place):
         with base.dygraph.guard(place):
@@ -149,15 +139,7 @@ def test_max_pool(self):
 class TestPool1D_API_ZeroSize(unittest.TestCase):
     def setUp(self):
         np.random.seed(123)
-        self.places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            self.places.append(base.CPUPlace())
-        if core.is_compiled_with_cuda():
-            self.places.append(base.CUDAPlace(0))
+        self.places = get_places()
 
     def check_adaptive_max_dygraph_results(self, place):
         with base.dygraph.guard(place):

test/legacy_test/test_arg_min_max_v2_op.py

@@ -12,14 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import unittest
 
 import numpy as np
-from op_test import OpTest
+from op_test import OpTest, get_places
 
 import paddle
-from paddle import base
 from paddle.base import Program, core, program_guard
 
 
@@ -166,15 +164,7 @@ class ArgMaxMinTestCase(unittest.TestCase):
         def setUp(self):
             np.random.seed(123)
             self.input_data = np.random.rand(10, 10).astype("float32")
-            self.places = []
-            if (
-                os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-                in ['1', 'true', 'on']
-                or not paddle.is_compiled_with_cuda()
-            ):
-                self.places.append(base.CPUPlace())
-            if core.is_compiled_with_cuda():
-                self.places.append(paddle.CUDAPlace(0))
+            self.places = get_places()
             self.op = eval(f"paddle.{op_type}")
             self.numpy_op = eval(f"np.{op_type}")
 

test/legacy_test/test_assign_op.py

@@ -12,18 +12,17 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import unittest
 
 import gradient_checker
 import numpy as np
 import op_test
 from decorator_helper import prog_scope
-from op_test import convert_float_to_uint16, convert_uint16_to_float
+from op_test import convert_float_to_uint16, convert_uint16_to_float, get_places
 
 import paddle
 from paddle import base
-from paddle.base import Program, core, program_guard
+from paddle.base import Program, program_guard
 from paddle.base.backward import append_backward
 
 
@@ -327,16 +326,7 @@ def func(self, place):
 
     def test_grad(self):
         paddle.enable_static()
-        places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            places.append(base.CPUPlace())
-        if core.is_compiled_with_cuda():
-            places.append(base.CUDAPlace(0))
-        for p in places:
+        for p in get_places():
             self.func(p)
         paddle.disable_static()
 
@@ -365,16 +355,7 @@ def func(self, place):
 
     def test_grad(self):
         paddle.enable_static()
-        places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not core.is_compiled_with_cuda()
-        ):
-            places.append(base.CPUPlace())
-        if core.is_compiled_with_cuda():
-            places.append(base.CUDAPlace(0))
-        for p in places:
+        for p in get_places():
             self.func(p)
         paddle.disable_static()
 

test/legacy_test/test_bce_with_logits_loss.py

@@ -12,10 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import unittest
 
 import numpy as np
+from op_test import get_places
 
 import paddle
 from paddle import base
@@ -143,15 +143,7 @@ class TestBCEWithLogitsLoss(unittest.TestCase):
     def test_BCEWithLogitsLoss(self):
         logit_np = np.random.uniform(0.1, 0.8, size=(20, 30)).astype(np.float64)
         label_np = np.random.randint(0, 2, size=(20, 30)).astype(np.float64)
-        places = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not base.core.is_compiled_with_cuda()
-        ):
-            places.append(base.CPUPlace())
-        if base.core.is_compiled_with_cuda():
-            places.append(base.CUDAPlace(0))
+        places = get_places()
         reductions = ['sum', 'mean', 'none']
         for place in places:
             for reduction in reductions:

test/legacy_test/test_box_coder_op.py

@@ -12,11 +12,10 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import os
 import unittest
 
 import numpy as np
-from op_test import OpTest
+from op_test import OpTest, get_places
 
 import paddle
 
@@ -340,15 +339,7 @@ def setUp(self):
             self.box_normalized,
             self.axis,
         )
-        self.place = []
-        if (
-            os.environ.get('FLAGS_CI_both_cpu_and_gpu', 'False').lower()
-            in ['1', 'true', 'on']
-            or not paddle.is_compiled_with_cuda()
-        ):
-            self.place.append(paddle.CPUPlace())
-        if paddle.is_compiled_with_cuda():
-            self.place.append(paddle.CUDAPlace(0))
+        self.place = get_places()
 
     def test_dygraph_api(self):
         def run(place):