Test for passing global env FLAGS_use_mkldnn (#26938)

python/paddle/fluid/tests/unittests/mkldnn/check_flags_use_mkldnn.py

+# Copyright (c) 2020 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.
+
+from __future__ import unicode_literals
+from __future__ import print_function
+
+import numpy as np
+import paddle.fluid as fluid
+import os
+from paddle.fluid.layer_helper import LayerHelper
+
+
+def check():
+    print("check: fluid.core.globals()['FLAGS_use_mkldnn']=",
+          fluid.core.globals()["FLAGS_use_mkldnn"])
+    print("check: fluid.get_flags('FLAGS_use_mkldnn')=",
+          fluid.get_flags(['FLAGS_use_mkldnn']))
+    print("check: DNNL_VERBOSE=", os.environ['DNNL_VERBOSE'])
+    a_np = np.random.uniform(-2, 2, (10, 20, 30)).astype(np.float32)
+    helper = LayerHelper(fluid.unique_name.generate(str("test")), act="relu")
+    func = helper.append_activation
+    with fluid.dygraph.guard(fluid.core.CPUPlace()):
+        a = fluid.dygraph.to_variable(a_np)
+        res1 = func(a)
+        res2 = np.maximum(a_np, 0)
+    assert (np.array_equal(res1.numpy(), res2))
+
+
+if __name__ == '__main__':
+    try:
+        check()
+        for k, v in sorted(os.environ.items()):
+            print(k + ':', v)
+        print('\n')
+    except Exception as e:
+        print(e)
+        print(type(e))

python/paddle/fluid/tests/unittests/mkldnn/test_flags_use_mkldnn.py

+# Copyright (c) 2020 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.
+
+from __future__ import unicode_literals
+from __future__ import print_function
+
+import unittest
+import os
+import sys
+import subprocess
+
+
+class TestFlagsUseMkldnn(unittest.TestCase):
+    def setUp(self):
+        self._python_interp = sys.executable
+        self._python_interp += " check_flags_use_mkldnn.py"
+
+        self.env = os.environ.copy()
+        self.env[str("GLOG_v")] = str("3")
+        self.env[str("DNNL_VERBOSE")] = str("1")
+        self.env[str("FLAGS_use_mkldnn")] = str("1")
+
+    def test_flags_use_mkl_dnn(self):
+        cmd = self._python_interp
+
+        proc = subprocess.Popen(
+            cmd.split(" "),
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+            env=self.env)
+
+        out, err = proc.communicate()
+        returncode = proc.returncode
+
+        print('out', out)
+        print('err', err)
+
+        assert returncode == 0
+        # in python3, type(out) is 'bytes', need use encode
+        assert out.find(
+            "dnnl_verbose,exec,cpu,eltwise,jit:avx512_common,forward_training,"
+            "data_f32::blocked:abc:f0 diff_undef::undef::f0,,alg:eltwise_relu".
+            encode()) != -1
+
+
+if __name__ == '__main__':
+    unittest.main()

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

@@ -652,7 +652,7 @@ class TestDygraphUtils(unittest.TestCase):
         a_np = np.random.uniform(-2, 2, (10, 20, 30)).astype(np.float32)
         helper = LayerHelper(fluid.unique_name.generate("test"), act="relu")
         func = helper.append_activation
-        with fluid.dygraph.guard():
+        with fluid.dygraph.guard(fluid.core.CPUPlace()):
             a = fluid.dygraph.to_variable(a_np)
             fluid.set_flags({'FLAGS_use_mkldnn': True})
             try: