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-rw-r--r--unsupported/Eigen/CXX11/src/Tensor/TensorIO.h69
1 files changed, 46 insertions, 23 deletions
diff --git a/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h b/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
index 38a833f82..a901c5dd4 100644
--- a/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
+++ b/unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
@@ -13,38 +13,61 @@
namespace Eigen {
namespace internal {
-template<>
-struct significant_decimals_impl<std::string>
- : significant_decimals_default_impl<std::string, true>
-{};
-}
+// Print the tensor as a 2d matrix
+template <typename Tensor, int Rank>
+struct TensorPrinter {
+ static void run (std::ostream& os, const Tensor& tensor) {
+ typedef typename internal::remove_const<typename Tensor::Scalar>::type Scalar;
+ typedef typename Tensor::Index Index;
+ const Index total_size = internal::array_prod(tensor.dimensions());
+ if (total_size > 0) {
+ const Index first_dim = Eigen::internal::array_get<0>(tensor.dimensions());
+ static const int layout = Tensor::Layout;
+ Map<const Array<Scalar, Dynamic, Dynamic, layout> > matrix(const_cast<Scalar*>(tensor.data()), first_dim, total_size/first_dim);
+ os << matrix;
+ }
+ }
+};
+
+
+// Print the tensor as a vector
+template <typename Tensor>
+struct TensorPrinter<Tensor, 1> {
+ static void run (std::ostream& os, const Tensor& tensor) {
+ typedef typename internal::remove_const<typename Tensor::Scalar>::type Scalar;
+ typedef typename Tensor::Index Index;
+ const Index total_size = internal::array_prod(tensor.dimensions());
+ if (total_size > 0) {
+ Map<const Array<Scalar, Dynamic, 1> > array(const_cast<Scalar*>(tensor.data()), total_size);
+ os << array;
+ }
+ }
+};
+
+
+// Print the tensor as a scalar
+template <typename Tensor>
+struct TensorPrinter<Tensor, 0> {
+ static void run (std::ostream& os, const Tensor& tensor) {
+ os << tensor.coeff(0);
+ }
+};
+}
template <typename T>
std::ostream& operator << (std::ostream& os, const TensorBase<T, ReadOnlyAccessors>& expr) {
+ typedef TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice> Evaluator;
+ typedef typename Evaluator::Dimensions Dimensions;
+
// Evaluate the expression if needed
TensorForcedEvalOp<const T> eval = expr.eval();
- TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice> tensor(eval, DefaultDevice());
+ Evaluator tensor(eval, DefaultDevice());
tensor.evalSubExprsIfNeeded(NULL);
- typedef typename internal::remove_const<typename T::Scalar>::type Scalar;
- typedef typename T::Index Index;
- typedef typename TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice>::Dimensions Dimensions;
- const Index total_size = internal::array_prod(tensor.dimensions());
-
- // Print the tensor as a 1d vector or a 2d matrix.
+ // Print the result
static const int rank = internal::array_size<Dimensions>::value;
- if (rank == 0) {
- os << tensor.coeff(0);
- } else if (rank == 1) {
- Map<const Array<Scalar, Dynamic, 1> > array(const_cast<Scalar*>(tensor.data()), total_size);
- os << array;
- } else {
- const Index first_dim = Eigen::internal::array_get<0>(tensor.dimensions());
- static const int layout = TensorEvaluator<const TensorForcedEvalOp<const T>, DefaultDevice>::Layout;
- Map<const Array<Scalar, Dynamic, Dynamic, layout> > matrix(const_cast<Scalar*>(tensor.data()), first_dim, total_size/first_dim);
- os << matrix;
- }
+ internal::TensorPrinter<Evaluator, rank>::run(os, tensor);
// Cleanup.
tensor.cleanup();