[CustomOP] Add shape related constructor for Tensor

paddle/fluid/extension/include/ext_tensor.h

@@ -52,6 +52,9 @@ class PD_DLL_DECL Tensor {
   /// \brief Construct a Tensor on target Place for CustomOp.
   /// Generally it's only used for user to create Tensor.
   explicit Tensor(const PlaceType& place);
+  /// \brief Construct a Tensor on target Place with shape for CustomOp.
+  /// Generally it's only used for user to create Tensor.
+  Tensor(const PlaceType& place, const std::vector<int64_t>& shape);
   /// \brief Reset the shape of the tensor.
   /// Generally it's only used for the input tensor.
   /// Reshape must be called before calling

paddle/fluid/extension/src/ext_tensor.cc

@@ -97,13 +97,32 @@ void GpuCopy(T *src, T *dst, PlaceType src_plc, PlaceType dst_plc,
 
 void Tensor::reshape(const std::vector<int64_t> &shape) {
   GET_CASTED_TENSOR
-  tensor->Resize(framework::make_ddim(shape));
+  auto new_dim = framework::make_ddim(shape);
+  if (tensor->numel() != framework::product(new_dim)) {
+    LOG(WARNING) << "Custom Op: Calling reshape to a new shape which is bigger "
+                    "or smaller"
+                 << "than original shape will not change your tensor's memory "
+                    "Please call"
+                 << "paddle::Tensor::mutable_data<T>() after to reallocate "
+                    "your tensor's size."
+                 << std::endl;
+  }
+  tensor->Resize(new_dim);
 }
 
 Tensor::Tensor(const PlaceType &place)
     : tensor_(std::make_shared<framework::LoDTensor>()),
       place_(place),
       stream_(StreamWrapper()) {}
+
+Tensor::Tensor(const PlaceType &place, const std::vector<int64_t> &shape)
+    : tensor_(std::make_shared<framework::LoDTensor>()),
+      place_(place),
+      stream_(StreamWrapper()) {
+  GET_CASTED_TENSOR
+  tensor->Resize(framework::make_ddim(shape));
+}
+
 template <typename T>
 T *Tensor::mutable_data(const PlaceType &place) {
   place_ = place;

paddle/fluid/framework/custom_tensor_utils.h

@@ -37,7 +37,7 @@ class CustomTensorUtils {
   /// \brief Share data FROM another tensor.
   /// Use this to pass tensor from op to op
   /// \return void.
-  static void ShareDataFrom(const void* src, const Tensor& dst);
+  static void ShareDataFrom(const void* src, const paddle::Tensor& dst);
 
   static framework::proto::VarType::Type ConvertEnumDTypeToInnerDType(
       const paddle::DataType& dtype) {

python/paddle/fluid/tests/custom_op/custom_relu_op.cc

@@ -38,9 +38,8 @@ void relu_cpu_backward_kernel(const data_t* grad_out_data,
 }
 
 std::vector<paddle::Tensor> relu_cpu_forward(const paddle::Tensor& x) {
-  auto out = paddle::Tensor(paddle::PlaceType::kCPU);
+  auto out = paddle::Tensor(paddle::PlaceType::kCPU, x.shape());
 
-  out.reshape(x.shape());
   PD_DISPATCH_FLOATING_TYPES(
       x.type(), "relu_cpu_forward", ([&] {
         relu_cpu_forward_kernel<data_t>(

python/paddle/fluid/tests/custom_op/test_custom_relu_op_jit.py

@@ -95,11 +95,11 @@ def test_exception(self):
                 in str(e))
             if IS_WINDOWS:
                 self.assertTrue(
-                    r"python\paddle\fluid\tests\custom_op\custom_relu_op.cc:48"
+                    r"python\paddle\fluid\tests\custom_op\custom_relu_op.cc:47"
                     in str(e))
             else:
                 self.assertTrue(
-                    "python/paddle/fluid/tests/custom_op/custom_relu_op.cc:48"
+                    "python/paddle/fluid/tests/custom_op/custom_relu_op.cc:47"
                     in str(e))
         self.assertTrue(caught_exception)