Merge branch 'backward_dev' into dev_add_FillZerosLikeOp_test

paddle/operators/fill_zeros_like_op.cc

@@ -13,8 +13,6 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/operators/fill_zeros_like_op.h"
-#include "paddle/framework/op_registry.h"
-#include "paddle/framework/tensor.h"
 
 namespace paddle {
 namespace operators {

paddle/operators/fill_zeros_like_op.h

@@ -13,9 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #pragma once
-#include "glog/logging.h"
-#include "paddle/framework/eigen.h"
-#include "paddle/framework/operator.h"
+#include "paddle/operators/type_alias.h"
 
 namespace paddle {
 namespace operators {

paddle/pybind/CMakeLists.txt

@@ -1,2 +1,2 @@
 cc_library(paddle_pybind SHARED SRCS pybind.cc DEPS pybind python
-        add_op fc_op sgd_op cross_entropy_op recurrent_network_op)
+        add_op fc_op sgd_op cross_entropy_op recurrent_network_op fill_zeros_like_op)

paddle/pybind/pybind.cc

@@ -37,6 +37,7 @@ USE_OP(sigmoid);
 USE_OP(softmax);
 USE_OP(rowwise_add);
 USE_OP_WITHOUT_KERNEL(recurrent_op);
+USE_OP(fill_zeros_like);
 
 template <typename ClassType>
 void ExposeOperator(ClassType& m) {

python/paddle/v2/framework/tests/CMakeLists.txt

@@ -13,4 +13,5 @@ add_python_test(test_framework
     test_sigmoid_op.py
     test_softmax_op.py
     test_rowwise_add_op.py
+    test_fill_zeros_like_op.py
     test_network.py)

python/paddle/v2/framework/tests/test_fill_zeros_like_op.py

@@ -0,0 +1,35 @@
+import unittest
+import paddle.v2.framework.create_op_creation_methods as creation
+import paddle.v2.framework.core as core
+from op_test_util import OpTestMeta
+import numpy
+
+
+class TestFillZerosLikeOp(unittest.TestCase):
+    def test_fill(self):
+        scope = core.Scope(None)
+        a = scope.create_var("input")
+        a_tensor = a.get_tensor()
+        a_tensor.set_dims([546, 291])
+        a_tensor.alloc_float()
+        a_tensor.set(numpy.random.random((546, 291)).astype("float32"))
+
+        op = creation.op_creations.fill_zeros_like(Src="input", Dst="output")
+
+        for out in op.outputs():
+            if scope.get_var(out) is None:
+                scope.create_var(out).get_tensor()
+
+        b_tensor = scope.get_var("output").get_tensor()
+        op.infer_shape(scope)
+        self.assertEqual([546, 291], b_tensor.shape())
+        ctx = core.DeviceContext.cpu_context()
+        op.run(scope, ctx)
+        b_tensor_array = numpy.array(b_tensor)
+        for r in range(0, 546):
+            for c in range(0, 291):
+                self.assertEqual(b_tensor_array[r][c], 0.0)
+
+
+if __name__ == '__main__':
+    unittest.main()