Merge pull request #16877 from heavengate/fix_infer_shape_pick

[cherry-pick] infer shape: grid_sampler, kldiv_loss, spectral_norm, interpolate

Author: heavengate

paddle/fluid/operators/grid_sampler_op.cc

@@ -13,6 +13,7 @@ See the License for the specific language governing permissions and
 limitations under the License. */
 
 #include "paddle/fluid/operators/grid_sampler_op.h"
+#include <memory>
 #include "paddle/fluid/framework/op_registry.h"
 #ifdef PADDLE_WITH_CUDA
 #include "paddle/fluid/platform/cudnn_helper.h"
@@ -40,10 +41,12 @@ class GridSampleOp : public framework::OperatorWithKernel {
                    "Input(X) of GridSampleOp should be 4-D Tensor.");
     PADDLE_ENFORCE(grid_dims.size() == 4,
                    "Input(Grid) of GridSampleOp should be 4-D Tensor.");
-    PADDLE_ENFORCE(grid_dims[3] == 2, "Input(Grid) dims[3] should be 2.");
-    PADDLE_ENFORCE_EQ(grid_dims[0], x_dims[0],
-                      "Input(X) and Input(Grid) dims[0] should be equal.");
+    if (ctx->IsRuntime() || grid_dims[3] > 0) {
+      PADDLE_ENFORCE(grid_dims[3] == 2, "Input(Grid) dims[3] should be 2.");
+    }
     if (ctx->IsRuntime()) {
+      PADDLE_ENFORCE_EQ(grid_dims[0], x_dims[0],
+                        "Input(X) and Input(Grid) dims[0] should be equal.");
       PADDLE_ENFORCE_EQ(
           grid_dims[1], x_dims[2],
           "Input(X) dims[2] and Input(Grid) dims[1] should be equal.");

paddle/fluid/operators/interpolate_op.cc

@@ -40,6 +40,8 @@ class InterpolateOp : public framework::OperatorWithKernel {
     int out_h = ctx->Attrs().Get<int>("out_h");
     int out_w = ctx->Attrs().Get<int>("out_w");
     PADDLE_ENFORCE_EQ(dim_x.size(), 4, "X's dimension must be 4");
+    PADDLE_ENFORCE_GT(out_h, 0, "out_h should be greater than 0.");
+    PADDLE_ENFORCE_GT(out_w, 0, "out_w should be greater than 0.");
 
     if (ctx->HasInput("OutSize") && ctx->IsRuntime()) {
       auto out_size_dim = ctx->GetInputDim("OutSize");
@@ -49,6 +51,7 @@ class InterpolateOp : public framework::OperatorWithKernel {
       ctx->ShareLoD("X", "Out");
       return;
     }
+
     std::vector<int64_t> dim_out({dim_x[0], dim_x[1], out_h, out_w});
     ctx->SetOutputDim("Out", framework::make_ddim(dim_out));
   }

paddle/fluid/operators/kldiv_loss_op.cc

@@ -35,8 +35,10 @@ class KLDivLossOp : public framework::OperatorWithKernel {
     PADDLE_ENFORCE_EQ(dim_x.size(), dim_target.size(),
                       "Input(X) rank and Input(Target) rank should be same.");
     for (int i = 0; i < dim_x.size(); i++) {
-      PADDLE_ENFORCE_EQ(dim_x[i], dim_target[i],
-                        "Input(X) and Input(Target) should in same shape.");
+      if (ctx->IsRuntime() || (dim_x[i] > 0 && dim_target[i] > 0)) {
+        PADDLE_ENFORCE_EQ(dim_x[i], dim_target[i],
+                          "Input(X) and Input(Target) should in same shape.");
+      }
     }
 
     auto reduction = ctx->Attrs().Get<std::string>("reduction");

paddle/fluid/operators/spectral_norm_op.cc

@@ -56,13 +56,19 @@ class SpectralNormOp : public framework::OperatorWithKernel {
     }
     auto dim_u = ctx->GetInputDim("U");
     auto dim_v = ctx->GetInputDim("V");
-    PADDLE_ENFORCE_EQ(dim_u[0], h,
-                      "Input(U) dims[0] should be equal to "
-                      "Input(Weight) dims[Attr(dim)]");
-    PADDLE_ENFORCE_EQ(
-        dim_v[0], w,
-        "Input(V) dims[0] should be equal to "
-        "the product of Input(Weight) dims except dims[Attr(dim)]");
+
+    if (ctx->IsRuntime() || (dim_u[0] > 0 && h > 0)) {
+      PADDLE_ENFORCE_EQ(dim_u[0], h,
+                        "Input(U) dims[0] should be equal to "
+                        "Input(Weight) dims[Attr(dim)]");
+    }
+
+    if (ctx->IsRuntime() || (dim_v[0] > 0 && w > 0)) {
+      PADDLE_ENFORCE_EQ(
+          dim_v[0], w,
+          "Input(V) dims[0] should be equal to "
+          "the product of Input(Weight) dims except dims[Attr(dim)]");
+    }
 
     ctx->SetOutputDim("Out", dim_weight);
     ctx->ShareLoD("Weight", /*->*/ "Out");