Fix ImageExpandFunction.

paddle/function/ImageExpandOp.cpp

@@ -45,9 +45,7 @@ public:
     numOutputs_ = 1;
   }
 
-  virtual void calc(const BufferArgs& inputs, const BufferArgs& outputs) {}
-
-  void check(const TensorShape& image, const TensorShape& sequence) const {
+  void checkShape(const TensorShape& image, const TensorShape& sequence) const {
     // image shape should be 4-dimensional.
     CHECK_EQ(image.ndims(), (size_t)4);
     // sequence shape should be 3-dimensional.
@@ -108,12 +106,18 @@ public:
     ImageExpandFunction::init(config);
   }
 
+  void check(const BufferArgs& inputs, const BufferArgs& outputs) override {
+    const TensorShape& image = inputs[0].shape();
+    const TensorShape& sequence = outputs[0].shape();
+    checkShape(image, sequence);
+  }
+
   void calc(const BufferArgs& inputs, const BufferArgs& outputs) override {
     CHECK_EQ(numInputs_, inputs.size());
     CHECK_EQ(numOutputs_, outputs.size());
+    check(inputs, outputs);
     const TensorShape& image = inputs[0].shape();
     const TensorShape& sequence = outputs[0].shape();
-    check(image, sequence);
 
     TensorShape imShape = TensorShape({image[1], image[2], image[3]});
     TensorShape colShape = getColShape(image, sequence);
@@ -149,15 +153,21 @@ public:
     ImageExpandFunction::init(config);
   }
 
+  void check(const BufferArgs& inputs, const BufferArgs& outputs) override {
+    const TensorShape& image = outputs[0].shape();
+    const TensorShape& sequence = inputs[0].shape();
+    checkShape(image, sequence);
+  }
+
   void calc(const BufferArgs& inputs, const BufferArgs& outputs) override {
     CHECK_EQ(numInputs_, inputs.size());
     CHECK_EQ(numOutputs_, outputs.size());
+    check(inputs, outputs);
     // Since the implementation of Col2ImFunctor is ADD_TO,
     // this function only supports ADD_TO mode.
     CHECK_EQ(outputs[0].getArgType(), ADD_TO);
     const TensorShape& image = outputs[0].shape();
     const TensorShape& sequence = inputs[0].shape();
-    check(image, sequence);
 
     TensorShape imShape = TensorShape({image[1], image[2], image[3]});
     TensorShape colShape = getColShape(image, sequence);