rm unittests eager guard test part15 layers2maxout

python/paddle/fluid/tests/unittests/test_limit_by_capacity_op.py

@@ -19,7 +19,6 @@
 import paddle
 from paddle.distributed.models.moe import utils
 from paddle.fluid import core
-from paddle.fluid.framework import _test_eager_guard
 
 
 def limit_by_capacity(expert_count, _capacity, n_worker):
@@ -88,7 +87,7 @@ def test_static_api(self):
 
         assert all_close(self.out, res[0], self.n_worker)
 
-    def func_dygraph_api(self):
+    def test_dygraph_api(self):
         paddle.disable_static(self.place)
         capacity = paddle.to_tensor(self.capacity)
         expert_count_tensor = paddle.to_tensor(self.expert_count)
@@ -97,11 +96,6 @@ def func_dygraph_api(self):
         )
         assert all_close(self.out, out.numpy(), self.n_worker)
 
-    def test_dygraph_api(self):
-        with _test_eager_guard():
-            self.func_dygraph_api()
-        self.func_dygraph_api()
-
 
 @unittest.skipIf(
     not core.is_compiled_with_cuda(), "core is not compiled with CUDA"

python/paddle/fluid/tests/unittests/test_linalg_cond.py

@@ -18,7 +18,6 @@
 
 import paddle
 import paddle.static as static
-from paddle.fluid.framework import _test_eager_guard
 
 p_list_n_n = ("fro", "nuc", 1, -1, np.inf, -np.inf)
 p_list_m_n = (None, 2, -2)
@@ -92,21 +91,16 @@ def test_out(self):
 
 
 class API_TestDygraphCond(unittest.TestCase):
-    def func_out(self):
+    def test_out(self):
         paddle.disable_static()
         # test calling results of 'cond' in dynamic mode
         x_list_n_n, x_list_m_n = gen_input()
         test_dygraph_assert_true(self, x_list_n_n, p_list_n_n + p_list_m_n)
         test_dygraph_assert_true(self, x_list_m_n, p_list_m_n)
 
-    def test_out(self):
-        with _test_eager_guard():
-            self.func_out()
-        self.func_out()
-
 
 class TestCondAPIError(unittest.TestCase):
-    def func_dygraph_api_error(self):
+    def test_dygraph_api_error(self):
         paddle.disable_static()
         # test raising errors when 'cond' is called in dygraph mode
         p_list_error = ('fro_', '_nuc', -0.7, 0, 1.5, 3)
@@ -121,11 +115,6 @@ def func_dygraph_api_error(self):
                 x_tensor = paddle.to_tensor(x)
                 self.assertRaises(ValueError, paddle.linalg.cond, x_tensor, p)
 
-    def test_dygraph_api_error(self):
-        with _test_eager_guard():
-            self.func_dygraph_api_error()
-        self.func_dygraph_api_error()
-
     def test_static_api_error(self):
         paddle.enable_static()
         # test raising errors when 'cond' is called in static mode
@@ -162,18 +151,13 @@ def test_static_empty_input_error(self):
 
 
 class TestCondEmptyTensorInput(unittest.TestCase):
-    def func_dygraph_empty_tensor_input(self):
+    def test_dygraph_empty_tensor_input(self):
         paddle.disable_static()
         # test calling results of 'cond' when input is an empty tensor in dynamic mode
         x_list_n_n, x_list_m_n = gen_empty_input()
         test_dygraph_assert_true(self, x_list_n_n, p_list_n_n + p_list_m_n)
         test_dygraph_assert_true(self, x_list_m_n, p_list_m_n)
 
-    def test_dygraph_empty_tensor_input(self):
-        with _test_eager_guard():
-            self.func_dygraph_empty_tensor_input()
-        self.func_dygraph_empty_tensor_input()
-
 
 if __name__ == "__main__":
     paddle.enable_static()

python/paddle/fluid/tests/unittests/test_linspace.py

@@ -20,7 +20,6 @@
 import paddle
 import paddle.fluid as fluid
 from paddle.fluid import Program, core, program_guard
-from paddle.fluid.framework import _test_eager_guard
 
 
 class TestLinspaceOpCommonCase(OpTest):
@@ -128,11 +127,6 @@ def test_imperative(self):
         self.assertEqual((out2.numpy() == np_out2).all(), True)
         self.assertEqual((out3.numpy() == np_out3).all(), True)
 
-    def test_api_eager_dygraph(self):
-        with _test_eager_guard():
-            self.test_variable_input2()
-            self.test_imperative()
-
 
 class TestLinspaceOpError(unittest.TestCase):
     def test_errors(self):

python/paddle/fluid/tests/unittests/test_logical_op.py

@@ -17,7 +17,6 @@
 import numpy as np
 
 import paddle
-from paddle.fluid.framework import _test_eager_guard
 from paddle.framework import _non_static_mode
 from paddle.static import Executor, Program, program_guard
 
@@ -106,15 +105,14 @@ def run_eager(x_np, y_np, op_str, use_gpu=False, binary_op=True):
     if use_gpu and paddle.is_compiled_with_cuda():
         place = paddle.CUDAPlace(0)
     paddle.disable_static(place)
-    with _test_eager_guard():
-        op = getattr(paddle, op_str)
-        x = paddle.to_tensor(x_np, dtype=x_np.dtype)
-        if not binary_op:
-            dygraph_result = op(x)
-        else:
-            y = paddle.to_tensor(y_np, dtype=y_np.dtype)
-            dygraph_result = op(x, y)
-        return dygraph_result
+    op = getattr(paddle, op_str)
+    x = paddle.to_tensor(x_np, dtype=x_np.dtype)
+    if not binary_op:
+        dygraph_result = op(x)
+    else:
+        y = paddle.to_tensor(y_np, dtype=y_np.dtype)
+        dygraph_result = op(x, y)
+    return dygraph_result
 
 
 def np_data_generator(np_shape, dtype, *args, **kwargs):

python/paddle/fluid/tests/unittests/test_logit_op.py

@@ -18,7 +18,6 @@
 from op_test import OpTest
 
 import paddle
-from paddle.fluid.framework import _test_eager_guard
 
 np.random.seed(10)
 
@@ -117,11 +116,6 @@ def test_errors(self):
             x = paddle.fluid.data(name='X2', shape=[100], dtype='float32')
             self.assertRaises(TypeError, paddle.logit, x, dtype='int32')
 
-    def test_api_eager_dygraph(self):
-        with _test_eager_guard():
-            self.test_check_api()
-            self.test_errors()
-
 
 if __name__ == "__main__":
     unittest.main()

python/paddle/fluid/tests/unittests/test_lookahead.py

@@ -19,7 +19,6 @@
 import paddle
 import paddle.fluid as fluid
 import paddle.nn as nn
-from paddle.fluid.framework import _test_eager_guard
 
 LOOKAHEAD_K = 5
 LOOKAHEAD_ALPHA = 0.2
@@ -71,7 +70,7 @@ def test_lookahead_static(self):
                 )
             fast_param = latest_b - SGD_LR * b_grad
 
-    def func_test_look_ahead_dygraph(self):
+    def test_look_ahead_dygraph(self):
         BATCH_SIZE = 16
         BATCH_NUM = 4
         EPOCH_NUM = 4
@@ -152,11 +151,6 @@ def train(layer, loader, loss_fn, opt):
 
         train(layer, loader, loss_fn, lookahead)
 
-    def test_look_ahead_dygraph(self):
-        with _test_eager_guard():
-            self.func_test_look_ahead_dygraph()
-        self.func_test_look_ahead_dygraph()
-
 
 if __name__ == "__main__":
     unittest.main()

python/paddle/fluid/tests/unittests/test_matmul_v2_op.py

@@ -20,7 +20,6 @@
 import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
-from paddle.fluid.framework import _test_eager_guard
 from paddle.fluid.tests.unittests.testsuite import create_op
 
 
@@ -559,11 +558,6 @@ def test_compute_type_fp16_nan(self):
                         {'FLAGS_gemm_use_half_precision_compute_type': False}
                     )
 
-    def test_api_eager_dygraph(self):
-        with _test_eager_guard():
-            self.test_dygraph()
-            self.test_dygraph_fp16()
-
 
 class TestComplexMatMulOp(OpTest):
     def setUp(self):
@@ -732,10 +726,6 @@ def func_dygraph_matmul(self):
 
         paddle.enable_static()
 
-    def func_dygraph_matmul(self):  # noqa: F811
-        with _test_eager_guard():
-            self.func_dygraph_matmul()
-
 
 if __name__ == "__main__":
     paddle.enable_static()

python/paddle/fluid/tests/unittests/test_max_op.py

@@ -20,7 +20,6 @@
 
 import paddle
 import paddle.fluid.core as core
-from paddle.fluid.framework import _test_eager_guard
 
 
 class ApiMaxTest(unittest.TestCase):
@@ -83,10 +82,6 @@ def test_imperative_api(self):
         z_expected = np.array(np.max(np_x, axis=0))
         self.assertEqual((np_z == z_expected).all(), True)
 
-    def test_eager_api(self):
-        with _test_eager_guard():
-            self.test_imperative_api()
-
     def test_big_dimension(self):
         paddle.disable_static()
         x = paddle.rand(shape=[2, 2, 2, 2, 2, 2, 2])

python/paddle/fluid/tests/unittests/test_maxout_op.py

@@ -20,7 +20,6 @@
 import paddle
 import paddle.fluid.core as core
 import paddle.nn.functional as F
-from paddle.fluid.framework import _test_eager_guard
 
 paddle.enable_static()
 np.random.seed(1)
@@ -108,7 +107,7 @@ def test_static_api(self):
         for r in res:
             np.testing.assert_allclose(out_ref, r, rtol=1e-05)
 
-    def func_test_dygraph_api(self):
+    def test_dygraph_api(self):
         paddle.disable_static(self.place)
         x = paddle.to_tensor(self.x_np)
         out1 = F.maxout(x, self.groups, self.axis)
@@ -136,11 +135,6 @@ def test_errors(self):
             x_float32 = paddle.fluid.data(name='x_float32', shape=[2, 4, 6, 8])
             self.assertRaises(ValueError, F.maxout, x_float32, 2, 2)
 
-    def test_dygraph_api(self):
-        with _test_eager_guard():
-            self.func_test_dygraph_api()
-        self.func_test_dygraph_api()
-
 
 if __name__ == '__main__':
     unittest.main()