deconv fix

paddle/operators/conv2d_transpose_cudnn_op.cc

@@ -12,7 +12,7 @@
    See the License for the specific language governing permissions and
    limitations under the License. */
 
-#include "paddle/operators/conv2dtranspose_op.h"
+#include "paddle/operators/conv2d_transpose_op.h"
 
 namespace paddle {
 namespace operators {

paddle/operators/conv2d_transpose_cudnn_op.cu

@@ -15,7 +15,7 @@
 #include "paddle/framework/eigen.h"
 #include "paddle/framework/op_registry.h"
 #include "paddle/memory/memory.h"
-#include "paddle/operators/conv2dtranspose_op.h"
+#include "paddle/operators/conv2d_transpose_op.h"
 #include "paddle/platform/assert.h"
 #include "paddle/platform/cudnn_helper.h"
 

paddle/operators/conv2d_transpose_op.cc

@@ -12,7 +12,7 @@
    See the License for the specific language governing permissions and
    limitations under the License. */
 
-#include "paddle/operators/conv2dtranspose_op.h"
+#include "paddle/operators/conv2d_transpose_op.h"
 
 namespace paddle {
 namespace operators {
@@ -95,13 +95,13 @@ void Conv2DTransposeOpGrad::InferShape(
 }  // namespace paddle
 
 namespace ops = paddle::operators;
-REGISTER_OP(conv2dtranspose, ops::Conv2DTransposeOp,
+REGISTER_OP(conv2d_transpose, ops::Conv2DTransposeOp,
-            ops::Conv2DTransposeOpMaker, conv2dtranspose_grad,
+            ops::Conv2DTransposeOpMaker, conv2d_transpose_grad,
             ops::Conv2DTransposeOpGrad);
 
 REGISTER_OP_CPU_KERNEL(
-    conv2dtranspose,
+    conv2d_transpose,
     ops::GemmConv2DTransposeKernel<paddle::platform::CPUPlace, float>);
 REGISTER_OP_CPU_KERNEL(
-    conv2dtranspose_grad,
+    conv2d_transpose_grad,
     ops::GemmConv2DTransposeGradKernel<paddle::platform::CPUPlace, float>);

paddle/operators/conv2d_transpose_op.cu

@@ -12,13 +12,13 @@
    See the License for the specific language governing permissions and
    limitations under the License. */
 
-#include "paddle/operators/conv2dtranspose_op.h"
+#include "paddle/operators/conv2d_transpose_op.h"
 
 namespace ops = paddle::operators;
 
 REGISTER_OP_GPU_KERNEL(
-    conv2dtranspose,
+    conv2d_transpose,
     ops::GemmConv2DTransposeKernel<paddle::platform::GPUPlace, float>);
 REGISTER_OP_GPU_KERNEL(
-    conv2dtranspose_grad,
+    conv2d_transpose_grad,
     ops::GemmConv2DTransposeGradKernel<paddle::platform::GPUPlace, float>);

paddle/operators/conv2d_transpose_op.h

@@ -62,7 +62,7 @@ class GemmConv2DTransposeKernel : public framework::OpKernel<T> {
     std::vector<int> strides = context.Attr<std::vector<int>>("strides");
 
     // TODO(Zhuoyuan): Paddings can be added in future.
-    // groups will alway be disabled in conv2dtranspose.
+    // groups will alway be disabled in conv2d_transpose.
 
     const int batch_size = input->dims()[0];
     const int m = input->dims()[1];

python/paddle/v2/framework/tests/test_conv2d_transpose_op.py

@@ -67,7 +67,7 @@ class TestConv2dTransposeOp(OpTest):
         self.filter_size = [f_c, 6, 3, 3]
 
     def init_op_type(self):
-        self.op_type = "conv2dtranspose"
+        self.op_type = "conv2d_transpose"
 
     def test_check_grad_no_input(self):
         self.check_grad(