[2.0 API]Add checker in grid_sample_grad op

paddle/fluid/operators/grid_sampler_op.cc

@@ -115,7 +115,7 @@ class GridSampleOpMaker : public framework::OpProtoAndCheckerMaker {
     AddAttr<std::string>(
         "padding_mode",
         "(bool, default true) The padding method used when source"
-        "index is out of input images. It can be 'zeros', 'reflect' and "
+        "index is out of input images. It can be 'zeros', 'reflection' and "
         "'border'.")
         .SetDefault("zeros");
 
@@ -174,6 +174,10 @@ class GridSampleOpGrad : public framework::OperatorWithKernel {
  public:
   using framework::OperatorWithKernel::OperatorWithKernel;
   void InferShape(framework::InferShapeContext* ctx) const override {
+    OP_INOUT_CHECK(ctx->HasOutput(framework::GradVarName("X")), "Output",
+                   framework::GradVarName("X"), "grid_sampler");
+    OP_INOUT_CHECK(ctx->HasOutput(framework::GradVarName("Grid")), "Output",
+                   framework::GradVarName("Grid"), "grid_sampler");
     auto input_dims = ctx->GetInputDim("X");
     auto grid_dims = ctx->GetInputDim("Grid");
     if (ctx->HasOutput(framework::GradVarName("X"))) {

paddle/fluid/operators/grid_sampler_op.cu

@@ -268,7 +268,7 @@ class GridSampleOpCUDAKernel : public framework::OpKernel<T> {
     Mode mode;
     if (padding_mode_s == "border") {
       padding_mode = PaddingMode::border;
-    } else if (padding_mode_s == "reflect") {
+    } else if (padding_mode_s == "reflection") {
       padding_mode = PaddingMode::reflect;
     } else {
       padding_mode = PaddingMode::zeros;
@@ -432,7 +432,7 @@ class GridSampleGradOpCUDAKernel : public framework::OpKernel<T> {
     Mode mode;
     if (padding_mode_s == "border") {
       padding_mode = PaddingMode::border;
-    } else if (padding_mode_s == "reflect") {
+    } else if (padding_mode_s == "reflection") {
       padding_mode = PaddingMode::reflect;
     } else {
       padding_mode = PaddingMode::zeros;

paddle/fluid/operators/grid_sampler_op.h

@@ -76,7 +76,7 @@ static inline void clip(const platform::CPUDeviceContext& ctx,
   if (padding_mode == "border") {
     grid_slice_t.device(place) = grid_slice_t.cwiseMax(static_cast<T>(0))
                                      .cwiseMin(static_cast<T>(max_val));
-  } else if (padding_mode == "reflect") {
+  } else if (padding_mode == "reflection") {
     if (align_corners) {
       auto double_range = static_cast<T>(max_val * 2);
       auto grid_abs = grid_slice_t.abs();
@@ -117,7 +117,7 @@ static inline void clipWithMask(const platform::CPUDeviceContext& ctx,
     auto in_bound = (res == grid_slice_t);
     grid_scale_t.device(place) = grid_scale_t * in_bound.template cast<T>();
     grid_slice_t.device(place) = res;
-  } else if (padding_mode == "reflect") {
+  } else if (padding_mode == "reflection") {
     if (align_corners) {
       auto double_range = static_cast<T>(max_val * 2);
       auto is_neg = (grid_slice_t < static_cast<T>(0));

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

@@ -100,7 +100,7 @@ def add_cases(suite):
         GridSampleTestCase(
             methodName='runTest',
             mode='bilinear',
-            padding_mode='reflect',
+            padding_mode='reflection',
             align_corners=True))
     suite.addTest(
         GridSampleTestCase(

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

@@ -73,7 +73,7 @@ def unnormalizeAndClip(grid_slice, max_val, align_corners, padding_mode):
 
     if padding_mode == "border":
         grid_slice = clip(grid_slice, 0, max_val)
-    elif padding_mode == "reflect":
+    elif padding_mode == "reflection":
         double_range = 2 * max_val if align_corners else (max_val + 1) * 2
         grid_abs = np.abs(grid_slice) if align_corners else np.abs(grid_slice +
                                                                    0.5)
@@ -211,7 +211,7 @@ def initTestCase(self):
         self.grid_shape = (2, 8, 9, 2)
         self.theta_shape = (2, 2, 3)
         self.align_corners = False
-        self.padding_mode = "reflect"
+        self.padding_mode = "reflection"
         self.mode = "bilinear"
 
 
@@ -221,7 +221,7 @@ def initTestCase(self):
         self.grid_shape = (2, 8, 9, 2)
         self.theta_shape = (2, 2, 3)
         self.align_corners = True
-        self.padding_mode = "reflect"
+        self.padding_mode = "reflection"
         self.mode = "bilinear"
 
 
@@ -231,7 +231,7 @@ def initTestCase(self):
         self.grid_shape = (2, 8, 9, 2)
         self.theta_shape = (2, 2, 3)
         self.align_corners = False
-        self.padding_mode = "reflect"
+        self.padding_mode = "reflection"
         self.mode = "nearest"
         self.numeric_grad_delta = 0.0001
 

python/paddle/nn/functional/vision.py

@@ -249,7 +249,7 @@ def grid_sample(x,
         mode(str, optional): The interpolation method which can be 'bilinear' or 'nearest'.
                          Default: 'bilinear'.
         padding_mode(str, optional) The padding method used when source index
-                   is out of input images. It can be 'zeros', 'reflect' and 'border'.
+                   is out of input images. It can be 'zeros', 'reflection' and 'border'.
                    Default: zeros.
         align_corners(bool, optional): If `align_corners` is true, it will projects
                    -1 and 1 to the centers of the corner pixels. Otherwise, it will
@@ -312,7 +312,7 @@ def grid_sample(x,
     if not isinstance(grid, Variable):
         raise ValueError("The grid should be a Variable")
     _modes = ['bilinear', 'nearest']
-    _padding_modes = ['zeros', 'reflect', 'border']
+    _padding_modes = ['zeros', 'reflection', 'border']
     if mode not in _modes:
         raise ValueError(
             "The mode of grid sample function should be in {}, but got: {}".