ipu_commit_tests p3 (#38093)

python/paddle/fluid/tests/unittests/ipu/op_test_ipu.py

+#   Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import random
+import unittest
+
+import numpy as np
+from paddle.fluid.tests.unittests.op_test import _set_use_system_allocator
+from typing import Optional
+import paddle.fluid.compiler as compiler
+
+SEED = 2021
+
+ipu_compiler_ref: Optional[compiler.IPUCompiledProgram] = None
+
+map_np_dtype_to_fluid_dtype = {
+    'bool': "bool",
+    'int8': "int8",
+    'uint8': "uint8",
+    "int32": "int32",
+    "int64": "int64",
+    "float16": "float16",
+    "float32": "float32",
+    "float64": "float64",
+}
+
+
+def np_dtype_to_fluid_str(dtype: np.dtype) -> str:
+    return map_np_dtype_to_fluid_dtype[dtype.name]
+
+
+class IPUOpTest(unittest.TestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls._np_rand_state = np.random.get_state()
+        cls._py_rand_state = random.getstate()
+
+        cls.SEED = SEED
+        np.random.seed(cls.SEED)
+        random.seed(cls.SEED)
+
+        cls._use_system_allocator = _set_use_system_allocator(True)
+
+    @classmethod
+    def tearDownClass(cls):
+        """Restore random seeds"""
+        np.random.set_state(cls._np_rand_state)
+        random.setstate(cls._py_rand_state)
+
+        _set_use_system_allocator(cls._use_system_allocator)
+        # unittest will to trigger IPUCompiledProgram.__del__ automatically
+        global ipu_compiler_ref
+        ipu_compiler_ref is not None and ipu_compiler_ref.clean()
+
+    def set_atol(self):
+        self.atol = 1e-5
+
+    def set_training(self):
+        self.is_training = False
+        self.epoch = 1

python/paddle/fluid/tests/unittests/ipu/test_activation_x_op.py

+#  Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+import numpy as np
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.compiler as compiler
+import paddle.nn.functional as F
+import paddle.optimizer
+import paddle.static
+from paddle.fluid.tests.unittests.ipu.op_test_ipu import (IPUOpTest,
+                                                          np_dtype_to_fluid_str)
+
+paddle.enable_static()
+
+
+@unittest.skipIf(not paddle.is_compiled_with_ipu(),
+                 "core is not compiled with IPU")
+class TestRelu(IPUOpTest):
+    def setUp(self):
+        self.set_atol()
+        self.set_training()
+        self.init_op()
+
+    def init_op(self):
+        self.op = paddle.fluid.layers.relu
+
+    def set_feed_attr(self):
+        self.feed_shape = [x.shape for x in self.feed.values()]
+        self.feed_list = list(self.feed.keys())
+        self.feed_dtype = [
+            np_dtype_to_fluid_str(x.dtype) for x in self.feed.values()
+        ]
+
+    def _test_base(self, run_ipu=True):
+        scope = fluid.core.Scope()
+        main_prog = paddle.static.Program()
+        startup_prog = paddle.static.Program()
+        SEED = self.SEED
+        main_prog.random_seed = SEED
+        startup_prog.random_seed = SEED
+
+        with fluid.scope_guard(scope):
+            with paddle.static.program_guard(main_prog, startup_prog):
+                x = paddle.static.data(
+                    name=self.feed_list[0],
+                    shape=self.feed_shape[0],
+                    dtype=self.feed_dtype[0])
+                out = self.op(x, **self.attrs)
+
+                fetch_list = [out.name]
+
+            if run_ipu:
+                place = paddle.IPUPlace()
+            else:
+                place = paddle.CPUPlace()
+            exe = paddle.static.Executor(place)
+            exe.run(startup_prog)
+
+            if run_ipu:
+                feed_list = self.feed_list
+                ipu_strategy = compiler.get_ipu_strategy()
+                ipu_strategy.is_training = self.is_training
+                program = compiler.IpuCompiler(
+                    main_prog,
+                    ipu_strategy=ipu_strategy).compile(feed_list, fetch_list)
+            else:
+                program = main_prog
+
+            result = exe.run(program, feed=self.feed, fetch_list=fetch_list)
+            return result[0]
+
+    def run_test_base(self):
+        res0 = self._test_base(False)
+        res1 = self._test_base(True)
+
+        self.assertTrue(
+            np.allclose(
+                res0.flatten(), res1.flatten(), atol=self.atol))
+
+        self.assertTrue(res0.shape == res1.shape)
+
+    def test_case0(self):
+        self.feed = {
+            "x": np.random.uniform(size=[1, 3, 10, 10]).astype('float32'),
+        }
+        self.attrs = {}
+        self.set_feed_attr()
+        self.run_test_base()
+
+
+class TestTanh(TestRelu):
+    def init_op(self):
+        self.op = F.tanh
+
+
+class TestLog(TestRelu):
+    def init_op(self):
+        self.op = paddle.fluid.layers.log
+
+
+class TestSigmoid(TestRelu):
+    def init_op(self):
+        self.op = F.sigmoid
+
+
+class TestSqrt(TestRelu):
+    def init_op(self):
+        self.op = paddle.fluid.layers.sqrt
+
+
+if __name__ == "__main__":
+    unittest.main()

python/paddle/fluid/tests/unittests/ipu/test_avg_shard_ipu.py

+#  Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+import numpy as np
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.compiler as compiler
+import paddle.optimizer
+import paddle.static
+from paddle.fluid.tests.unittests.ipu.op_test_ipu import IPUOpTest
+
+paddle.enable_static()
+
+
+@unittest.skipIf(not paddle.is_compiled_with_ipu(),
+                 "core is not compiled with IPU")
+class TestBase(IPUOpTest):
+    def setUp(self):
+        self.set_atol()
+        self.set_training()
+        self.set_feed()
+        self.set_attrs()
+
+    def set_feed(self):
+        self.feed_shape = []
+        self.feed_shape.append([1, 3, 128, 128])
+
+        self.feed = {}
+        self.feed["in_0"] = np.random.uniform(
+            size=self.feed_shape[0]).astype(np.float32)
+
+        self.feed_list = list(self.feed.keys())
+
+    def set_attrs(self):
+        self.attrs = {}
+
+    def _test_base(self, run_ipu=True):
+        scope = fluid.core.Scope()
+        main_prog = paddle.static.Program()
+        startup_prog = paddle.static.Program()
+        SEED = self.SEED
+        main_prog.random_seed = SEED
+        startup_prog.random_seed = SEED
+
+        with fluid.scope_guard(scope):
+            with paddle.static.program_guard(main_prog, startup_prog):
+                x = paddle.static.data(
+                    name=self.feed_list[0],
+                    shape=self.feed_shape[0],
+                    dtype='float32')
+                conv1 = paddle.static.nn.conv2d(
+                    x, num_filters=3, filter_size=3, bias_attr=False)
+                conv2 = paddle.static.nn.conv2d(
+                    conv1, num_filters=3, filter_size=3, bias_attr=False)
+                conv3 = paddle.static.nn.conv2d(
+                    conv2, num_filters=3, filter_size=3, bias_attr=False)
+                conv4 = paddle.static.nn.conv2d(
+                    conv3, num_filters=3, filter_size=3, bias_attr=False)
+
+                fetch_list = [conv4.name]
+
+            if run_ipu:
+                place = paddle.IPUPlace()
+            else:
+                place = paddle.CPUPlace()
+            exe = paddle.static.Executor(place)
+            exe.run(startup_prog)
+
+            if run_ipu:
+                feed_list = self.feed_list
+                ipu_strategy = compiler.get_ipu_strategy()
+                ipu_strategy.is_training = self.is_training
+                # enable avg shard pass
+                ipu_strategy.need_avg_shard = True
+                program = compiler.IPUCompiledProgram(
+                    main_prog,
+                    ipu_strategy=ipu_strategy).compile(feed_list, fetch_list)
+            else:
+                program = main_prog
+
+            result = exe.run(program, feed=self.feed, fetch_list=fetch_list)
+            return result[0]
+
+    def test_base(self):
+        res0 = self._test_base(True)
+        res1 = self._test_base(False)
+
+        self.assertTrue(
+            np.allclose(
+                res0.flatten(), res1.flatten(), atol=self.atol))
+
+
+if __name__ == "__main__":
+    unittest.main()

python/paddle/fluid/tests/unittests/ipu/test_batch_norm_op_ipu.py

+#  Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+import numpy as np
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.compiler as compiler
+import paddle.optimizer
+import paddle.static
+from paddle.fluid.tests.unittests.ipu.op_test_ipu import IPUOpTest
+
+paddle.enable_static()
+
+
+@unittest.skipIf(not paddle.is_compiled_with_ipu(),
+                 "core is not compiled with IPU")
+class TestBase(IPUOpTest):
+    def setUp(self):
+        self.set_atol()
+        self.set_training()
+        self.set_feed()
+        self.set_attrs()
+
+    def set_feed(self):
+        self.feed_shape = []
+        self.feed_shape.append([1, 3, 10, 10])
+
+        self.feed = {}
+        self.feed["in_0"] = np.random.uniform(
+            size=self.feed_shape[0]).astype(np.float32)
+
+        self.feed_list = list(self.feed.keys())
+
+    def set_attrs(self):
+        self.attrs = {}
+        self.attrs['is_test'] = False
+        self.attrs['data_layout'] = 'NCHW'
+        self.attrs['in_place'] = False
+
+    def _test_base(self, run_ipu=True):
+        scope = fluid.core.Scope()
+        main_prog = paddle.static.Program()
+        startup_prog = paddle.static.Program()
+        SEED = self.SEED
+        main_prog.random_seed = SEED
+        startup_prog.random_seed = SEED
+
+        with fluid.scope_guard(scope):
+            with paddle.static.program_guard(main_prog, startup_prog):
+                x = paddle.static.data(
+                    name=self.feed_list[0],
+                    shape=self.feed_shape[0],
+                    dtype='float32')
+                conv1 = paddle.static.nn.conv2d(
+                    x, num_filters=3, filter_size=3, bias_attr=False)
+                out = paddle.fluid.layers.batch_norm(conv1, **self.attrs)
+
+                fetch_list = [out.name]
+
+            if run_ipu:
+                place = paddle.IPUPlace()
+            else:
+                place = paddle.CPUPlace()
+            exe = paddle.static.Executor(place)
+            exe.run(startup_prog)
+
+            if run_ipu:
+                feed_list = self.feed_list
+                ipu_strategy = compiler.get_ipu_strategy()
+                ipu_strategy.is_training = self.is_training
+                program = compiler.IPUCompiledProgram(
+                    main_prog,
+                    ipu_strategy=ipu_strategy).compile(feed_list, fetch_list)
+            else:
+                program = main_prog
+
+            result = exe.run(program, feed=self.feed, fetch_list=fetch_list)
+            return result[0]
+
+    def test_base(self):
+        res0 = self._test_base(True)
+        res1 = self._test_base(False)
+
+        self.assertTrue(
+            np.allclose(
+                res0.flatten(), res1.flatten(), atol=self.atol))
+
+
+class TestCase1(TestBase):
+    def set_attrs(self):
+        self.attrs = {}
+        self.attrs['is_test'] = True
+        self.attrs['data_layout'] = 'NCHW'
+        self.attrs['in_place'] = False
+
+
+class TestCase2(TestBase):
+    def set_attrs(self):
+        self.attrs = {}
+        self.attrs['is_test'] = True
+        self.attrs['data_layout'] = 'NCHW'
+        self.attrs['in_place'] = True
+
+
+if __name__ == "__main__":
+    unittest.main()

python/paddle/fluid/tests/unittests/ipu/test_cast_op_ipu.py

+#  Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+import numpy as np
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.compiler as compiler
+import paddle.optimizer
+import paddle.static
+from paddle.fluid.tests.unittests.ipu.op_test_ipu import (IPUOpTest,
+                                                          np_dtype_to_fluid_str)
+
+paddle.enable_static()
+
+
+@unittest.skipIf(not paddle.is_compiled_with_ipu(),
+                 "core is not compiled with IPU")
+class TestBase(IPUOpTest):
+    def setUp(self):
+        self.set_atol()
+        self.set_training()
+        self.set_feed()
+        self.set_feed_attr()
+        self.set_attrs()
+
+    def set_atol(self):
+        self.atol = 1e-3
+
+    def set_feed(self):
+        self.feed = {
+            "x": np.random.uniform(size=[1, 3, 3, 3]).astype('float32'),
+        }
+
+    def set_feed_attr(self):
+        self.feed_shape = [x.shape for x in self.feed.values()]
+        self.feed_list = list(self.feed.keys())
+        self.feed_dtype = [
+            np_dtype_to_fluid_str(x.dtype) for x in self.feed.values()
+        ]
+
+    def set_attrs(self):
+        self.attrs = {}
+        self.attrs['dtype'] = 'float16'
+
+    def _test_base(self, run_ipu=True):
+        scope = fluid.core.Scope()
+        main_prog = paddle.static.Program()
+        startup_prog = paddle.static.Program()
+        SEED = self.SEED
+        main_prog.random_seed = SEED
+        startup_prog.random_seed = SEED
+
+        with fluid.scope_guard(scope):
+            with paddle.static.program_guard(main_prog, startup_prog):
+                x = paddle.static.data(
+                    name=self.feed_list[0],
+                    shape=self.feed_shape[0],
+                    dtype=self.feed_dtype[0])
+                out = paddle.cast(x, **self.attrs)
+                fetch_list = [out.name]
+
+            if run_ipu:
+                place = paddle.IPUPlace()
+            else:
+                place = paddle.CPUPlace()
+            exe = paddle.static.Executor(place)
+            exe.run(startup_prog)
+
+            if run_ipu:
+                feed_list = self.feed_list
+                ipu_strategy = compiler.get_ipu_strategy()
+                ipu_strategy.is_training = self.is_training
+                program = compiler.IPUCompiledProgram(
+                    main_prog,
+                    ipu_strategy=ipu_strategy).compile(feed_list, fetch_list)
+            else:
+                program = main_prog
+
+            result = exe.run(program, feed=self.feed, fetch_list=fetch_list)
+            return result[0]
+
+    def test_base(self):
+        res0 = self._test_base(True)
+        res1 = self._test_base(False)
+
+        self.assertTrue(
+            np.allclose(
+                res0.flatten(), res1.flatten(), atol=self.atol))
+
+        self.assertTrue(res0.shape == res1.shape)
+
+
+class TestCase1(TestBase):
+    def set_attrs(self):
+        self.attrs = {}
+        self.attrs['dtype'] = 'float16'
+
+
+@unittest.skip('float64 is not supported')
+class TestCase2(TestBase):
+    def set_attrs(self):
+        self.attrs = {}
+        self.attrs['dtype'] = 'float64'
+
+
+@unittest.skip('skip float16 to float32')
+class TestCase3(TestBase):
+    def set_feed(self):
+        self.feed = {
+            "x": np.random.uniform(size=[1, 3, 3, 3]).astype('float16'),
+        }
+
+    def set_attrs(self):
+        self.attrs = {}
+        self.attrs['dtype'] = 'float32'
+
+
+@unittest.skip('int32 to int8 is not supported')
+class TestCase4(TestBase):
+    def set_atol(self):
+        self.atol = 1
+
+    def set_feed(self):
+        self.feed = {
+            "x": np.random.randint(
+                low=1, high=100, size=[1, 3, 3, 3]).astype('int32'),
+        }
+
+    def set_attrs(self):
+        self.attrs = {}
+        self.attrs['dtype'] = 'int8'
+
+
+if __name__ == "__main__":
+    unittest.main()

python/paddle/fluid/tests/unittests/ipu/test_concat_op_ipu.py

+#  Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+import numpy as np
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.compiler as compiler
+import paddle.optimizer
+import paddle.static
+from paddle.fluid.tests.unittests.ipu.op_test_ipu import (IPUOpTest,
+                                                          np_dtype_to_fluid_str)
+
+paddle.enable_static()
+
+
+@unittest.skipIf(not paddle.is_compiled_with_ipu(),
+                 "core is not compiled with IPU")
+class TestBase(IPUOpTest):
+    def setUp(self):
+        self.set_atol()
+        self.set_training()
+        self.set_feed()
+        self.set_feed_attr()
+        self.set_attrs()
+
+    def set_feed(self):
+        self.feed = {
+            "x": np.random.uniform(size=[1, 3, 10, 10]).astype('float32'),
+            "y": np.random.uniform(size=[1, 3, 10, 10]).astype('float32'),
+        }
+
+    def set_feed_attr(self):
+        self.feed_shape = [x.shape for x in self.feed.values()]
+        self.feed_list = list(self.feed.keys())
+        self.feed_dtype = [
+            np_dtype_to_fluid_str(x.dtype) for x in self.feed.values()
+        ]
+
+    def set_attrs(self):
+        self.attrs = {"axis": 0}
+
+    def _test_base(self, run_ipu=True):
+        scope = fluid.core.Scope()
+        main_prog = paddle.static.Program()
+        startup_prog = paddle.static.Program()
+        SEED = self.SEED
+        main_prog.random_seed = SEED
+        startup_prog.random_seed = SEED
+
+        with fluid.scope_guard(scope):
+            with paddle.static.program_guard(main_prog, startup_prog):
+                x = paddle.static.data(
+                    name=self.feed_list[0],
+                    shape=self.feed_shape[0],
+                    dtype=self.feed_dtype[0])
+                y = paddle.static.data(
+                    name=self.feed_list[1],
+                    shape=self.feed_shape[1],
+                    dtype=self.feed_dtype[1])
+                out = paddle.fluid.layers.concat([x, y], **self.attrs)
+
+                fetch_list = [out.name]
+
+            if run_ipu:
+                place = paddle.IPUPlace()
+            else:
+                place = paddle.CPUPlace()
+            exe = paddle.static.Executor(place)
+            exe.run(startup_prog)
+
+            if run_ipu:
+                feed_list = self.feed_list
+                ipu_strategy = compiler.get_ipu_strategy()
+                ipu_strategy.is_training = self.is_training
+                program = compiler.IPUCompiledProgram(
+                    main_prog,
+                    ipu_strategy=ipu_strategy).compile(feed_list, fetch_list)
+            else:
+                program = main_prog
+
+            result = exe.run(program, feed=self.feed, fetch_list=fetch_list)
+            return result[0]
+
+    def test_base(self):
+        res0 = self._test_base(True)
+        res1 = self._test_base(False)
+
+        self.assertTrue(
+            np.allclose(
+                res0.flatten(), res1.flatten(), atol=self.atol))
+
+        self.assertTrue(res0.shape == res1.shape)
+
+
+class TestCase1(TestBase):
+    def set_attrs(self):
+        self.attrs = {"axis": 1}
+
+
+if __name__ == "__main__":
+    unittest.main()

python/paddle/fluid/tests/unittests/ipu/test_conv_op_ipu.py

+#  Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import unittest
+
+import numpy as np
+import paddle
+import paddle.fluid as fluid
+import paddle.fluid.compiler as compiler
+import paddle.optimizer
+import paddle.static
+from paddle.fluid.tests.unittests.ipu.op_test_ipu import IPUOpTest
+
+paddle.enable_static()
+
+
+@unittest.skipIf(not paddle.is_compiled_with_ipu(),
+                 "core is not compiled with IPU")
+class TestBase(IPUOpTest):
+    def setUp(self):
+        self.set_atol()
+        self.set_training()
+        self.set_feed()
+        self.set_attrs()
+
+    def set_feed(self):
+        self.feed_shape = []
+        self.feed_shape.append([1, 3, 10, 10])
+
+        self.feed = {}
+        self.feed["in_0"] = np.random.uniform(
+            size=self.feed_shape[0]).astype(np.float32)
+
+        self.feed_list = list(self.feed.keys())
+
+    def set_attrs(self):
+        self.attrs = {}
+        self.attrs['num_filters'] = 3
+        self.attrs['filter_size'] = 3
+        self.attrs['stride'] = 1
+        self.attrs['padding'] = 0
+        self.attrs['dilation'] = 1
+        self.attrs['groups'] = 1
+        self.attrs['data_format'] = 'NCHW'
+
+    def _test_base(self, run_ipu=True):
+        scope = fluid.core.Scope()
+        main_prog = paddle.static.Program()
+        startup_prog = paddle.static.Program()
+        SEED = self.SEED
+        main_prog.random_seed = SEED
+        startup_prog.random_seed = SEED
+
+        with fluid.scope_guard(scope):
+            with paddle.static.program_guard(main_prog, startup_prog):
+                image = paddle.static.data(
+                    name=self.feed_list[0],
+                    shape=self.feed_shape[0],
+                    dtype='float32')
+                out = paddle.fluid.layers.conv2d(image, **self.attrs)
+
+                fetch_list = [out.name]
+
+            if run_ipu:
+                place = paddle.IPUPlace()
+            else:
+                place = paddle.CPUPlace()
+            exe = paddle.static.Executor(place)
+            exe.run(startup_prog)
+
+            if run_ipu:
+                feed_list = self.feed_list
+                ipu_strategy = compiler.get_ipu_strategy()
+                ipu_strategy.is_training = self.is_training
+                program = compiler.IPUCompiledProgram(
+                    main_prog,
+                    ipu_strategy=ipu_strategy).compile(feed_list, fetch_list)
+            else:
+                program = main_prog
+
+            result = exe.run(program, feed=self.feed, fetch_list=fetch_list)
+            return result[0]
+
+    def test_base(self):
+        res0 = self._test_base(True)
+        res1 = self._test_base(False)
+
+        self.assertTrue(
+            np.allclose(
+                res0.flatten(), res1.flatten(), atol=self.atol))
+
+
+class TestCase1(TestBase):
+    def set_attrs(self):
+        super().set_attrs()
+        self.attrs['num_filters'] = 1
+
+
+class TestCase2(TestBase):
+    def set_attrs(self):
+        super().set_attrs()
+        self.attrs['filter_size'] = [3, 3]
+
+
+class TestCase2_1(TestBase):
+    def set_attrs(self):
+        super().set_attrs()
+        self.attrs['filter_size'] = [3, 2]
+
+
+class TestCase3(TestBase):
+    def set_attrs(self):
+        super().set_attrs()
+        self.attrs['stride'] = [2, 3]
+
+
+class TestCase4(TestBase):
+    def set_attrs(self):
+        super().set_attrs()
+        self.attrs['dilation'] = [2, 2]
+
+
+class TestCase5(TestBase):
+    def set_attrs(self):
+        super().set_attrs()
+        self.attrs['groups'] = 3
+
+
+class TestCase6(TestBase):
+    def set_attrs(self):
+        super().set_attrs()
+        self.attrs['padding'] = 2
+
+
+class TestCase7(TestBase):
+    def set_attrs(self):
+        super().set_attrs()
+        self.attrs['padding'] = [2, 3]
+
+
+class TestCase8(TestBase):
+    def set_attrs(self):
+        super().set_attrs()
+        self.attrs['padding'] = [1, 2, 2, 3]
+
+
+if __name__ == "__main__":
+    unittest.main()