add rois_num for roi_align xpu OP (#28077)

* add stack pool2d roi_align xpu op,test=kunlun

* error message opt, test=kunlun

* add xpu unittest,test=kunlun

* skip check grad,test=kunlun

* fix boostget , test=kunlun

* error message opt for XPU, test=kunlun

* add rois_num for roi_align xpu OP, test=develop

paddle/fluid/operators/roi_align_op_xpu.cc

@@ -39,14 +39,40 @@ class XPUROIAlignOpKernel : public framework::OpKernel<T> {
     int width = in_dims[3];
     int rois_num = rois->dims()[0];
     const T* input_data = in->data<T>();
-    auto rois_lod = rois->lod().back();
-    int rois_batch_size = rois_lod.size() - 1;
+
+    framework::Tensor _roi_batch_list;
+    _roi_batch_list.Resize({rois_num});
+    int* rois_lod = _roi_batch_list.mutable_data<int>(ctx.GetPlace());
+    int rois_batch_size = 1;
+    if (ctx.HasInput("RoisNum")) {
+      auto* rois_num_t = ctx.Input<framework::Tensor>("RoisNum");
+      rois_batch_size = rois_num_t->numel();
+      PADDLE_ENFORCE_EQ(
+          rois_batch_size, batch_size,
+          platform::errors::InvalidArgument(
+              "The batch size of rois and the batch size of images "
+              " must be the same. But received the batch size of rois is %d, "
+              "and the batch size of images is %d",
+              rois_batch_size, batch_size));
+      auto* rois_num_data = rois_num_t->data<int>();
+      rois_lod[0] = 0;
+      for (int n = 0; n < rois_batch_size; ++n) {
+        rois_lod[n + 1] = rois_lod[n] + rois_num_data[n];
+      }
+    } else {
+      auto _rois_lod = rois->lod().back();
+      rois_batch_size = _rois_lod.size() - 1;
+      for (int n = 0; n < _rois_lod.size(); ++n) {
+        rois_lod[n] = _rois_lod[n];
+      }
       PADDLE_ENFORCE_EQ(
           rois_batch_size, batch_size,
           platform::errors::InvalidArgument(
-            "The rois_batch_size and imgs batch_size of roi_align_xpu OP must "
+              "The rois_batch_size and imgs batch_size of roi_align_xpu OP "
+              "must "
               "be the same. But received rois_batch_size %d , batch_size %d",
               rois_batch_size, batch_size));
+    }
     int rois_num_with_lod = rois_lod[rois_batch_size];
     PADDLE_ENFORCE_EQ(
         rois_num, rois_num_with_lod,

python/paddle/fluid/tests/unittests/xpu/test_roi_align_op_xpu.py

@@ -179,5 +179,29 @@ class TestROIAlignOp(OpTest):
             self.check_output_with_place(place)
 
 
+class TestROIAlignInLodOp(TestROIAlignOp):
+    def set_data(self):
+        self.init_test_case()
+        self.make_rois()
+        self.calc_roi_align()
+
+        seq_len = self.rois_lod[0]
+
+        self.inputs = {
+            'X': self.x,
+            'ROIs': (self.rois[:, 1:5], self.rois_lod),
+            'RoisNum': np.asarray(seq_len).astype('int32')
+        }
+
+        self.attrs = {
+            'spatial_scale': self.spatial_scale,
+            'pooled_height': self.pooled_height,
+            'pooled_width': self.pooled_width,
+            'sampling_ratio': self.sampling_ratio
+        }
+
+        self.outputs = {'Out': self.out_data}
+
+
 if __name__ == '__main__':
     unittest.main()