update code

Author: wanghaox

paddle/operators/iou_similarity_op.cc

@@ -35,6 +35,7 @@ class IOUSimilarityOp : public framework::OperatorWithKernel {
     PADDLE_ENFORCE_EQ(y_dims.size(), 2UL, "The rank of Input(Y) must be 2.");
     PADDLE_ENFORCE_EQ(y_dims[1], 4UL, "The shape of Y is [M, 4]");
 
+    ctx->ShareLoD("X", /*->*/ "Out");
     ctx->SetOutputDim("Out", framework::make_ddim({x_dims[0], y_dims[0]}));
   }
 };
@@ -47,29 +48,32 @@ class IOUSimilarityOpMaker : public framework::OpProtoAndCheckerMaker {
              "(LoDTensor, default LoDTensor<float>) "
              "Box list X is a 2-D LoDTensor with shape [N, 4] holds N boxes, "
              "each box is represented as [xmin, ymin, xmax, ymax], "
-             "the shape of X is [N, 4]. [xmin, ymin] is the lower left "
-             "coordinate of the box, and [xmax, ymax] is the right upper "
-             "coordinate of the box.This tensor can contain LoD information "
-             "to represent a batch of inputs. One instance of this batch can "
-             "contain different numbers of entities.");
+             "the shape of X is [N, 4]. [xmin, ymin] is the left top "
+             "coordinate of the box if the input is image feature map, they "
+             "are close to the origin of the coordinate system. "
+             "[xmax, ymax] is the right bottom coordinate of the box. "
+             "This tensor can contain LoD information to represent a batch "
+             "of inputs. One instance of this batch can contain different "
+             "numbers of entities.");
     AddInput("Y",
              "(Tensor, default Tensor<float>) "
-             "Box list Y holds M boxes, each box is "
-             "represented as [xmin, ymin, xmax, ymax], the shape of X is [N, "
-             "4]. [xmin, ymin] is the lower left coordinate of the box, and "
-             "[xmax, ymax] is the right upper coordinate of the box.");
+             "Box list Y holds M boxes, each box is represented as "
+             "[xmin, ymin, xmax, ymax], the shape of X is [N, 4]. "
+             "[xmin, ymin] is the left top coordinate of the box if the "
+             "input is image feature map, and [xmax, ymax] is the right "
+             "bottom coordinate of the box.");
 
     AddOutput("Out",
-              "(LoDTensor or Tensor, the lod is same as input X) The output of "
+              "(LoDTensor, the lod is same as input X) The output of "
               "iou_similarity op, a tensor with shape [N, M] "
               "representing pairwise iou scores.");
 
     AddComment(R"DOC(
 IOU Similarity Operator.
 Computes intersection-over-union (IOU) between two box lists.
  Box list 'X' should be a LoDTensor and 'Y' is a common Tensor,
- boxes in 'Y' are shared by all input images.
- Given two box A and B, the calculation of IOU is as follows:
+ boxes in 'Y' are shared by all instance of the batched inputs of X.
+ Given two boxes A and B, the calculation of IOU is as follows:
 
 $$
 IOU(A, B) = 

paddle/operators/iou_similarity_op.h

@@ -83,8 +83,6 @@ class IOUSimilarityKernel : public framework::OpKernel<T> {
     platform::ForRange<DeviceContext> for_range(
         static_cast<const DeviceContext&>(ctx.device_context()), x_n);
     for_range(functor);
-
-    out->set_lod(in_x->lod());
   }
 };  // namespace operators