Python TensorFlow:如何将值包装为标量张量而不是1x1张量
我有以下代码,试图将Python TensorFlow:如何将值包装为标量张量而不是1x1张量,python,c++,tensorflow,Python,C++,Tensorflow,我有以下代码,试图将bool值包装成tensorflow::Tensor tensorflow::Tensor vector_to_tensor_bool(const std::vector<bool> &input_vec) { tensorflow::Tensor tensor_1d(tensorflow::DT_BOOL, tensorflow::TensorShape({1})); auto tensor_1d_map = tensor_1d.tens
bool
值包装成tensorflow::Tensor
tensorflow::Tensor vector_to_tensor_bool(const std::vector<bool> &input_vec) {
tensorflow::Tensor tensor_1d(tensorflow::DT_BOOL, tensorflow::TensorShape({1}));
auto tensor_1d_map = tensor_1d.tensor<bool, 1>();
tensor_1d_map(0) = input_vec[0];
return tensor_1d;
}
我想它是说我应该把它变成标量张量,而不是1x1张量。如何将正则值转换为标量张量值?谢谢
Caused by: Invalid argument: The second input must be a scalar, but it has shape [1]