GPU of bilinear_interp_op done

paddle/fluid/operators/bilinear_interp_op.cu

@@ -11,6 +11,8 @@
 
 #include "paddle/fluid/operators/bilinear_interp_op.cu.h"
 #include "paddle/fluid/operators/bilinear_interp_op.h"
+#include "paddle/fluid/operators/math/math_function.h"
+#include "paddle/fluid/platform/cuda_helper.h"
 
 namespace paddle {
 namespace operators {
@@ -64,6 +66,11 @@ class BilinearInterpGradOpCUDAKernel : public framework::OpKernel<T> {
     auto* d_input = d_input_t->mutable_data<T>(ctx.GetPlace());
     auto* d_output = d_output_t->data<T>();
 
+    auto& device_ctx =
+        ctx.template device_context<platform::CUDADeviceContext>();
+    math::SetConstant<platform::CUDADeviceContext, T> zero;
+    zero(device_ctx, d_input_t, static_cast<T>(0.0));
+
     int out_h = ctx.Attr<int>("out_h");
     int out_w = ctx.Attr<int>("out_w");
     int batch_size = d_input_t->dims()[0];

paddle/fluid/operators/bilinear_interp_op.h

@@ -10,16 +10,13 @@
    limitations under the License. */
 
 #pragma once
-#include "paddle/fluid/framework/eigen.h"
 #include "paddle/fluid/framework/op_registry.h"
+#include "paddle/fluid/operators/math/math_function.h"
 
 namespace paddle {
 namespace operators {
 
 using Tensor = framework::Tensor;
-template <typename T, int MajorType = Eigen::RowMajor,
-          typename IndexType = Eigen::DenseIndex>
-using EigenVector = framework::EigenVector<T, MajorType, IndexType>;
 
 template <typename T>
 class BilinearInterpKernel : public framework::OpKernel<T> {
@@ -89,6 +86,11 @@ class BilinearInterpGradKernel : public framework::OpKernel<T> {
     auto* d_input = d_input_t->mutable_data<T>(ctx.GetPlace());
     auto* d_output = d_output_t->data<T>();
 
+    auto& device_ctx =
+        ctx.template device_context<platform::CPUDeviceContext>();
+    math::SetConstant<platform::CPUDeviceContext, T> zero;
+    zero(device_ctx, d_input_t, static_cast<T>(0.0));
+
     int out_h = ctx.Attr<int>("out_h");
     int out_w = ctx.Attr<int>("out_w");
     int batch_size = d_input_t->dims()[0];