[cherry-pick] fix the cumsum big shape and random bug (#43777)

paddle/phi/kernels/gpu/cumsum_kernel.cu

@@ -152,10 +152,8 @@ __global__ void BlockScanKernel(T* d_out,
   } temp_storage;
 
   int bx = blockIdx.x;
-  int by = blockIdx.y;
 
   BlockPrefixCallbackOp<T> prefix_op(0);
-  T block_aggregate = static_cast<T>(0);
 
   // Obtain this block's segment of consecutive keys (blocked across threads)
   int item_per_block = BLOCK_THREADS * ITEMS_PER_THREAD;
@@ -168,7 +166,7 @@ __global__ void BlockScanKernel(T* d_out,
       valid_item = scan_size;
     }
 
-    int offset = bx * scan_size + block_offset + by * (inner_size * scan_size);
+    int offset = block_offset + bx * scan_size;
 
     T thread_keys[ITEMS_PER_THREAD];
     BlockLoadT(temp_storage.load)
@@ -260,8 +258,10 @@ void CumsumKernel(const Context& dev_ctx,
   dim3 blocks(32, 8);
   dim3 transpose_grids((width + tile_size - 1) / tile_size,
                        (height + tile_size - 1) / tile_size);
-  out->Resize(out_dims);
-  auto* tmp_data = out->data<T>();
+
+  DenseTensor tmp_tensor;
+  tmp_tensor.Resize(out_dims);
+  auto* tmp_data = dev_ctx.template Alloc<T>(&tmp_tensor);
 
   T* next_in_data = out_data;
   T* next_out_data = tmp_data;
@@ -281,6 +281,8 @@ void CumsumKernel(const Context& dev_ctx,
   // Consider the size of shared memory, here block size is 128
   dim3 scan_grid(outer_size, inner_size);
   dim3 reverse_grid = scan_grid;
+  int64_t grid_size = outer_size * inner_size;
+
   if (reverse) {
     if (transpose) {
       reverse_grid.x = scan_grid.y;
@@ -295,12 +297,12 @@ void CumsumKernel(const Context& dev_ctx,
     }
   }
   if (!transpose && !reverse) {
-    BlockScanKernel<T, 128, 4><<<scan_grid, 128, 0, dev_ctx.stream()>>>(
+    BlockScanKernel<T, 128, 4><<<grid_size, 128, 0, dev_ctx.stream()>>>(
         out_data, in_data, outer_size, inner_size, scan_size, exclusive);
 
   } else {
-    BlockScanKernel<T, 128, 4><<<scan_grid, 128, 0, dev_ctx.stream()>>>(
-        next_out_data,
+    BlockScanKernel<T, 128, 4>
+        <<<grid_size, 128, 0, dev_ctx.stream()>>>(next_out_data,
                                                   next_in_data,
                                                   outer_size,
                                                   inner_size,