auto linear_square = linear * linear;
auto linear_square_sum = linear_square.sum().sqrt();
如果我指出linear_square_sum的值，我会看到一个数字。现在，我想获取linear_square.sum（）。sqrt（）的标量值，因此我将其类型为Eigen :: Tensor赋予如下代码，
auto linear_square = linear * linear;
Eigen::Tensor<T,0> linear_square_sum = linear_square.sum().sqrt();
不幸的是，它给出了一些错误。 linear_square.sum（）。sqrt（）的实际类型是
，错误是
external / eigen_archive / unsupported / Eigen / CXX11 / src / Tensor / TensorAssign.h：127：5： 错误：静态断言失败：YOU_MADE_A_PROGRAMMING_MISTAKE 外部/ eigen_archive /不支持/Eigen/CXX11/src/Tensor/TensorAssign.h： 在'Eigen :: TensorEvaluator的实例中， Device> :: TensorEvaluator（const XprType＆，const Device＆）[with LeftArgType = Eigen :: TensorFixedSize，0，long int>; RightArgType = const Eigen :: TensorCwiseUnaryOp，const Eigen :: TensorReductionOp，const 特征码:: DimensionList，常数特征码:: TensorCwiseBinaryOp，常数 Eigen :: TensorChippingOp <0，Eigen :: TensorMap，16，Eigen :: MakePointer>
，const Eigen :: TensorChippingOp <0，Eigen :: TensorMap，16，Eigen :: MakePointer>>>，Eigen :: MakePointer>>;设备= Eigen :: DefaultDevice; Eigen :: TensorEvaluator，Device> :: XprType = Eigen :: TensorAssignOp，0，long int>，const Eigen :: TensorCwiseUnaryOp， const Eigen :: TensorReductionOp，const Eigen :: DimensionList，const Eigen :: TensorCwiseBinaryOp，const Eigen :: TensorChippingOp <0， Eigen :: TensorMap，16，Eigen :: MakePointer>>，const Eigen :: TensorChippingOp <0，Eigen :: TensorMap，16，Eigen :: MakePointer>> ，Eigen :: MakePointer>>>]'：external / eigen_archive / unsupported / Eigen / CXX11 / src / Tensor / TensorExecutor.h：88：41： 从'static void Eigen :: internal :: TensorExecutor :: run（const Expression＆，const Device＆）[with Expression = const Eigen :: TensorAssignOp，0，long int>，const Eigen :: TensorCwiseUnaryOp， const Eigen :: TensorReductionOp，const Eigen :: DimensionList，const Eigen :: TensorCwiseBinaryOp，const Eigen :: TensorChippingOp <0， Eigen :: TensorMap，16，Eigen :: MakePointer>>，const Eigen :: TensorChippingOp <0，Eigen :: TensorMap，16，Eigen :: MakePointer>> ，Eigen :: MakePointer>>>;设备= Eigen :: DefaultDevice; bool Vectorizable = false; bool Tileable = false]' 外部/ eigen_archive /不支持/Eigen/CXX11/src/Tensor/TensorFixedSize.h:328:65： 必须来自'Eigen :: TensorFixedSize :: TensorFixedSize（const Eigen :: TensorBase＆）[with OtherDerived = Eigen :: TensorCwiseUnaryOp， const Eigen :: TensorReductionOp，const Eigen :: DimensionList，const Eigen :: TensorCwiseBinaryOp，const Eigen :: TensorChippingOp <0， Eigen :: TensorMap，16，Eigen :: MakePointer>>，const Eigen :: TensorChippingOp <0，Eigen :: TensorMap，16，Eigen :: MakePointer>> ，Eigen :: MakePointer>>;标量= Eigen ::一半; Dimensions_ = Eigen :: Sizes <0>; int Options_ = 0; IndexType = long int]' tensorflow / core / kernels / training_ops.cc：2871：13：从'void必需 tensorflow :: SparseApplyGFtrlOp :: Compute（tensorflow :: OpKernelContext *） [使用Device = Eigen :: ThreadPoolDevice; T = Eigen ::一半; Tindex =长 长整数bool has_l2_shrinkage = false]' tensorflow / core / kernels / training_ops.cc：4684：1：从此处开始 外部/ eigen_archive /不受支持/Eigen/CXX11/src/Tensor/TensorAssign.h:127:5： 错误：静态声明失败：YOU_MADE_A_PROGRAMMING_MISTAKE目标 // tensorflow / tools / pip_package：build_pip_package无法构建
