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Fix unused variable warnings in TensorIO

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Charles Schlosser 2024-04-22 18:14:54 +00:00 committed by Rasmus Munk Larsen
parent 4de870b6eb
commit 8cafbc4736
1 changed files with 5 additions and 5 deletions
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10
unsupported/Eigen/CXX11/src/Tensor/TensorIO.h
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@ -195,19 +195,19 @@ namespace internal {
// Default scalar printer.
template <typename Scalar, typename Format, typename EnableIf = void>
struct ScalarPrinter {
static void run(std::ostream& stream, const Scalar& scalar, const Format& fmt) { stream << scalar; }
static void run(std::ostream& stream, const Scalar& scalar, const Format&) { stream << scalar; }
};
template <typename Scalar>
struct ScalarPrinter<Scalar, TensorIOFormatNumpy, std::enable_if_t<NumTraits<Scalar>::IsComplex>> {
static void run(std::ostream& stream, const Scalar& scalar, const TensorIOFormatNumpy& fmt) {
static void run(std::ostream& stream, const Scalar& scalar, const TensorIOFormatNumpy&) {
stream << numext::real(scalar) << "+" << numext::imag(scalar) << "j";
}
};
template <typename Scalar>
struct ScalarPrinter<Scalar, TensorIOFormatNative, std::enable_if_t<NumTraits<Scalar>::IsComplex>> {
static void run(std::ostream& stream, const Scalar& scalar, const TensorIOFormatNative& fmt) {
static void run(std::ostream& stream, const Scalar& scalar, const TensorIOFormatNative&) {
stream << "{" << numext::real(scalar) << ", " << numext::imag(scalar) << "}";
}
};
@ -339,7 +339,7 @@ struct TensorPrinter {
IndexType scalar_width = scalar_str.length();
if (width && scalar_width < width) {
std::string filler;
for (IndexType i = scalar_width; i < width; ++i) {
for (IndexType j = scalar_width; j < width; ++j) {
filler.push_back(fmt.fill);
}
s << filler;
@ -360,7 +360,7 @@ struct TensorPrinter<Tensor, rank, TensorIOFormatLegacy, std::enable_if_t<rank !
using Format = TensorIOFormatLegacy;
using Scalar = std::remove_const_t<typename Tensor::Scalar>;
static void run(std::ostream& s, const Tensor& tensor, const Format& fmt) {
static void run(std::ostream& s, const Tensor& tensor, const Format&) {
typedef typename Tensor::Index IndexType;
// backwards compatibility case: print tensor after reshaping to matrix of size dim(0) x
// (dim(1)*dim(2)*...*dim(rank-1)).