diff --git a/paddle/fluid/operators/reader/lod_tensor_blocking_queue.h b/paddle/fluid/operators/reader/lod_tensor_blocking_queue.h
index 311a429f9c307f3913a1ffe5dfb7d84119c9711e..4f7cfc24ec035349f3c85e84d876ad9b5b5493a6 100644
--- a/paddle/fluid/operators/reader/lod_tensor_blocking_queue.h
+++ b/paddle/fluid/operators/reader/lod_tensor_blocking_queue.h
@@ -38,12 +38,10 @@ class LoDTensorBlockingQueue {
 
  public:
   bool Push(const std::vector<framework::LoDTensor>& lod_tensor_vec) {
-    CheckDims(lod_tensor_vec);
     return queue_.Send(lod_tensor_vec);
   }
 
   bool Push(std::vector<framework::LoDTensor>&& lod_tensor_vec) {
-    CheckDims(lod_tensor_vec);
     return queue_.Send(std::move(lod_tensor_vec));
   }
 
@@ -65,21 +63,6 @@ class LoDTensorBlockingQueue {
   inline bool IsClosed() const { return queue_.IsClosed(); }
 
  private:
-  void CheckDims(
-      const std::vector<framework::LoDTensor>& lod_tensor_vec) const {
-    PADDLE_ENFORCE(dims_.size() == lod_tensor_vec.size(),
-                   "Expect input size is %d but found %s", dims_.size(),
-                   lod_tensor_vec.size());
-    for (size_t i = 0; i < dims_.size(); ++i) {
-      const auto& in_dims = framework::slice_ddim(
-          lod_tensor_vec[i].dims(), 1, lod_tensor_vec[i].dims().size());
-      const auto& expect_dims =
-          framework::slice_ddim(dims_[i], 1, dims_[i].size());
-      PADDLE_ENFORCE(in_dims == expect_dims,
-                     "Dims of the %d-th input tensor do not match", i);
-    }
-  }
-
   BlockingQueue<std::vector<framework::LoDTensor>> queue_;
   std::vector<framework::DDim> dims_;
 };
diff --git a/paddle/fluid/operators/reshape_op.cc b/paddle/fluid/operators/reshape_op.cc
index 918f3be533d51367eade5f5108ad2eab954a9303..a9fd1869c9df5464db6fc87ac633cdba2d6dbe7f 100644
--- a/paddle/fluid/operators/reshape_op.cc
+++ b/paddle/fluid/operators/reshape_op.cc
@@ -216,7 +216,7 @@ class ReshapeKernel {
     if (shape_tensor) {
       auto *shape_data = shape_tensor->data<int>();
       framework::Tensor cpu_shape_tensor;
-      if (platform::is_gpu_place(ctx.GetPlace())) {
+      if (platform::is_gpu_place(shape_tensor->place())) {
         TensorCopySync(*shape_tensor, platform::CPUPlace(), &cpu_shape_tensor);
         shape_data = cpu_shape_tensor.data<int>();
       }