test=develop

split reduce_all_any_op.h into two files
add unit test for reduce_all, reduce_any

paddle/fluid/operators/reduce_ops/reduce_all_op.cc

@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "paddle/fluid/operators/reduce_ops/reduce_all_any_op.h"
+#include "paddle/fluid/operators/reduce_ops/reduce_all_op.h"
 
 REGISTER_REDUCE_OP(reduce_all);
 REGISTER_OP_CPU_KERNEL(reduce_all,

paddle/fluid/operators/reduce_ops/reduce_all_op.cu

@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "paddle/fluid/operators/reduce_ops/reduce_all_any_op.h"
+#include "paddle/fluid/operators/reduce_ops/reduce_all_op.h"
 
 REGISTER_OP_CUDA_KERNEL(reduce_all,
                         ops::ReduceKernel<paddle::platform::CUDADeviceContext,

paddle/fluid/operators/reduce_ops/reduce_all_any_op.h → paddle/fluid/operators/reduce_ops/reduce_all_op.h

-// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+// Copyright (c) 2019 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.
@@ -25,12 +25,5 @@ struct AllFunctor {
   }
 };
 
-struct AnyFunctor {
-  template <typename DeviceContext, typename X, typename Y, typename Dim>
-  void operator()(const DeviceContext& place, X* x, Y* y, const Dim& dim) {
-    y->device(place) = x->any(dim);
-  }
-};
-
 }  // namespace operators
 }  // namespace paddle

paddle/fluid/operators/reduce_ops/reduce_any_op.cc

@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "paddle/fluid/operators/reduce_ops/reduce_all_any_op.h"
+#include "paddle/fluid/operators/reduce_ops/reduce_any_op.h"
 
 REGISTER_REDUCE_OP(reduce_any);
 REGISTER_OP_CPU_KERNEL(reduce_any,

paddle/fluid/operators/reduce_ops/reduce_any_op.cu

@@ -12,7 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-#include "paddle/fluid/operators/reduce_ops/reduce_all_any_op.h"
+#include "paddle/fluid/operators/reduce_ops/reduce_any_op.h"
 
 REGISTER_OP_CUDA_KERNEL(reduce_any,
                         ops::ReduceKernel<paddle::platform::CUDADeviceContext,

paddle/fluid/operators/reduce_ops/reduce_any_op.h

+// Copyright (c) 2019 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.
+#pragma once
+
+#include "paddle/fluid/operators/reduce_ops/reduce_op.h"
+
+namespace paddle {
+namespace operators {
+
+struct AnyFunctor {
+  template <typename DeviceContext, typename X, typename Y, typename Dim>
+  void operator()(const DeviceContext& place, X* x, Y* y, const Dim& dim) {
+    y->device(place) = x->any(dim);
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle

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

@@ -91,6 +91,78 @@ class TestProdOp(OpTest):
         self.check_grad(['X'], 'Out')
 
 
+class TestAllOp(OpTest):
+    def setUp(self):
+        self.op_type = "reduce_all"
+        self.inputs = {'X': np.random.randint(0, 2, (5, 6, 10)).astype("bool")}
+        self.outputs = {'Out': self.inputs['X'].all()}
+        self.attrs = {'reduce_all': True}
+
+    def test_check_output(self):
+        self.check_output()
+
+
+class TestAllOpWithDim(OpTest):
+    def setUp(self):
+        self.op_type = "reduce_all"
+        self.inputs = {'X': np.random.randint(0, 2, (5, 6, 10)).astype("bool")}
+        self.attrs = {'dim': [1]}
+        self.outputs = {'Out': self.inputs['X'].all(axis=1)}
+
+    def test_check_output(self):
+        self.check_output()
+
+
+class TestAllOpWithKeepDim(OpTest):
+    def setUp(self):
+        self.op_type = "reduce_all"
+        self.inputs = {'X': np.random.randint(0, 2, (5, 6, 10)).astype("bool")}
+        self.attrs = {'dim': [1], 'keep_dim': True}
+        self.outputs = {
+            'Out': np.expand_dims(
+                self.inputs['X'].all(axis=1), axis=1)
+        }
+
+    def test_check_output(self):
+        self.check_output()
+
+
+class TestAnyOp(OpTest):
+    def setUp(self):
+        self.op_type = "reduce_any"
+        self.inputs = {'X': np.random.randint(0, 2, (5, 6, 10)).astype("bool")}
+        self.outputs = {'Out': self.inputs['X'].any()}
+        self.attrs = {'reduce_all': True}
+
+    def test_check_output(self):
+        self.check_output()
+
+
+class TestAnyOpWithDim(OpTest):
+    def setUp(self):
+        self.op_type = "reduce_any"
+        self.inputs = {'X': np.random.randint(0, 2, (5, 6, 10)).astype("bool")}
+        self.attrs = {'dim': [1]}
+        self.outputs = {'Out': self.inputs['X'].any(axis=1)}
+
+    def test_check_output(self):
+        self.check_output()
+
+
+class TestAnyOpWithKeepDim(OpTest):
+    def setUp(self):
+        self.op_type = "reduce_any"
+        self.inputs = {'X': np.random.randint(0, 2, (5, 6, 10)).astype("bool")}
+        self.attrs = {'dim': [1], 'keep_dim': True}
+        self.outputs = {
+            'Out': np.expand_dims(
+                self.inputs['X'].any(axis=1), axis=1)
+        }
+
+    def test_check_output(self):
+        self.check_output()
+
+
 class Test1DReduce(OpTest):
     def setUp(self):
         self.op_type = "reduce_sum"