tensor_view_io.h
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#pragma once
#include "cutlass/core_io.h"
#include "cutlass/tensor_view.h"
namespace cutlass {
namespace detail {
template <
typename Element,
typename Layout
>
inline std::ostream & TensorView_WriteLeastSignificantRank(
std::ostream& out,
TensorView<Element, Layout> const& view,
Coord<Layout::kRank> const &start_coord,
int rank,
std::streamsize width) {
for (int idx = 0; idx < view.extent(rank); ++idx) {
Coord<Layout::kRank> coord(start_coord);
coord[rank] = idx;
if (idx) {
out.width(0);
out << ", ";
}
if (idx || coord) {
out.width(width);
}
out << ScalarIO<Element>(view.at(coord));
}
return out;
}
template <
typename Element,
typename Layout
>
inline std::ostream & TensorView_WriteRank(
std::ostream& out,
TensorView<Element, Layout> const& view,
Coord<Layout::kRank> const &start_coord,
int rank,
std::streamsize width) {
// If called on the least significant rank, write the result as a row
if (rank + 1 == Layout::kRank) {
return TensorView_WriteLeastSignificantRank(out, view, start_coord, rank, width);
}
// Otherwise, write a sequence of rows and newlines
for (int idx = 0; idx < view.extent(rank); ++idx) {
Coord<Layout::kRank> coord(start_coord);
coord[rank] = idx;
if (rank + 2 == Layout::kRank) {
// Write least significant ranks asa matrix with rows delimited by ";\n"
out << (idx ? ";\n" : "");
TensorView_WriteLeastSignificantRank(out, view, coord, rank + 1, width);
}
else {
// Higher ranks are separated by newlines
out << (idx ? "\n" : "");
TensorView_WriteRank(out, view, coord, rank + 1, width);
}
}
return out;
}
} // namespace detail
template <
typename Element,
typename Layout
>
inline std::ostream& TensorViewWrite(
std::ostream& out,
TensorView<Element, Layout> const& view) {
// Prints a TensorView according to the following conventions:
// - least significant rank is printed as rows separated by ";\n"
// - all greater ranks are delimited with newlines
//
// The result is effectively a whitespace-delimited series of 2D matrices.
return detail::TensorView_WriteRank(out, view, Coord<Layout::kRank>(), 0, out.width());
}
template <
typename Element,
typename Layout
>
inline std::ostream& operator<<(
std::ostream& out,
TensorView<Element, Layout> const& view) {
// Prints a TensorView according to the following conventions:
// - least significant rank is printed as rows separated by ";\n"
// - all greater ranks are delimited with newlines
//
// The result is effectively a whitespace-delimited series of 2D matrices.
return TensorViewWrite(out, view);
}
} // namespace cutlass
core_io.h
Helpers for printing cutlass/core objects.
cutlass
Definition: aligned_buffer.h:35
cutlass::TensorView::extent
CUTLASS_HOST_DEVICE TensorCoord const & extent() const
Returns the extent of the view (the size along each logical dimension).
Definition: tensor_view.h:167
tensor_view.h
Defines a structure containing strides and a pointer to tensor data.
cutlass::TensorViewWrite
std::ostream & TensorViewWrite(std::ostream &out, TensorView< Element, Layout > const &view)
Prints human-readable representation of a TensorView to an ostream.
Definition: tensor_view_io.h:113
cutlass::detail::TensorView_WriteLeastSignificantRank
std::ostream & TensorView_WriteLeastSignificantRank(std::ostream &out, TensorView< Element, Layout > const &view, Coord< Layout::kRank > const &start_coord, int rank, std::streamsize width)
Helper to write the least significant rank of a TensorView.
Definition: tensor_view_io.h:41
cutlass::TensorView< Element, Layout >
cutlass::Coord< Layout::kRank >
cutlass::TensorRef::at
CUTLASS_HOST_DEVICE Reference at(TensorCoord const &coord) const
Returns a reference to the element at a given Coord.
Definition: tensor_ref.h:307
cutlass::operator<<
std::ostream & operator<<(std::ostream &out, complex< T > const &z)
Definition: complex.h:291
cutlass::detail::TensorView_WriteRank
std::ostream & TensorView_WriteRank(std::ostream &out, TensorView< Element, Layout > const &view, Coord< Layout::kRank > const &start_coord, int rank, std::streamsize width)
Helper to write a rank of a TensorView.
Definition: tensor_view_io.h:71