fix squeeze shape check; test=develop

paddle/fluid/operators/squeeze_op.cc

@@ -40,7 +40,7 @@ class SqueezeOpInferShape : public framework::InferShapeBase {
                         "tensor's rank.");
     }
 
-    auto out_dims = GetOutputShape(axes, x_dims, ctx);
+    auto out_dims = GetOutputShape(axes, x_dims, false);
     ctx->SetOutputDim("Out", out_dims);
     if (x_dims[0] == out_dims[0]) {
       // Only pass LoD when the first dimension of output and Input(X)
@@ -51,7 +51,7 @@ class SqueezeOpInferShape : public framework::InferShapeBase {
 
   static framework::DDim GetOutputShape(const std::vector<int> squeeze_dims,
                                         const framework::DDim &in_dims,
-                                        framework::InferShapeContext *ctx) {
+                                        bool is_runtime) {
     size_t num_squeeze_dims = squeeze_dims.size();
     int cnt_squeezed_dims = 0;
     bool should_squeeze[9] = {false};
@@ -73,7 +73,7 @@ class SqueezeOpInferShape : public framework::InferShapeBase {
         PADDLE_ENFORCE(current >= 0,
                        "Invalid axis, the negative axis is out of range.");
 
-        if (ctx->IsRuntime()) {
+        if (is_runtime) {
           PADDLE_ENFORCE(in_dims[current] == 1,
                          "Invalid axis index, the axis that will be squeezed "
                          "should be equal to 1.");
@@ -108,7 +108,7 @@ class SqueezeOp : public framework::OperatorBase {
                const platform::Place &place) const override {
     auto &axes = Attr<std::vector<int>>("axes");
     auto x_dims = scope.FindVar(Input("X"))->Get<framework::LoDTensor>().dims();
-    auto out_dims = SqueezeOpInferShape::GetOutputShape(axes, x_dims);
+    auto out_dims = SqueezeOpInferShape::GetOutputShape(axes, x_dims, true);
 
     framework::AttributeMap attrs;
     attrs["shape"] = framework::vectorize2int(out_dims);
@@ -228,7 +228,7 @@ class Squeeze2Op : public framework::OperatorBase {
                const platform::Place &place) const override {
     auto &axes = Attr<std::vector<int>>("axes");
     auto x_dims = scope.FindVar(Input("X"))->Get<framework::LoDTensor>().dims();
-    auto out_dims = Squeeze2OpInferShape::GetOutputShape(axes, x_dims);
+    auto out_dims = Squeeze2OpInferShape::GetOutputShape(axes, x_dims, true);
 
     framework::AttributeMap attrs;
     attrs["shape"] = framework::vectorize2int(out_dims);