EVOLUTION-MANAGER

Edit File: shape_layout.h

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==============================================================================*/

#ifndef TENSORFLOW_COMPILER_XLA_SHAPE_LAYOUT_H_
#define TENSORFLOW_COMPILER_XLA_SHAPE_LAYOUT_H_

#include <string>

#include "tensorflow/compiler/xla/shape_util.h"
#include "tensorflow/compiler/xla/types.h"
#include "tensorflow/compiler/xla/xla_data.pb.h"
#include "tensorflow/core/lib/core/status.h"

namespace xla {

// A ShapeLayout object encapsulates the layout of a particular shape (including
// tuples). This differs from the Layout proto which describes the layout of a
// single array. ShapeLayout contains a Layout proto for each array in the shape
// (a tuple can have more than one array). For array shapes, this object
// trivially holds a single Layout. Logically, ShapeLayout holds a nonmutable
// shape with mutable layouts.
class ShapeLayout {
 public:
  // Constructs a ShapeLayout of the given shape. Layouts are copied from the
  // shape parameter.
  explicit ShapeLayout(const Shape& shape) : shape_(shape) {}

// Assigns the layouts in this ShapeLayout to the Layout fields of the given
  // shape. 'to_shape' and the shape of the ShapeLayout object must be
  // compatible.
  Status AssignLayoutToShape(Shape* to_shape) const;

// Returns true if the Layouts in this ShapeLayout match the layouts in the
  // given shape. Returns false otherwise. If the given shape is not compatible
  // with the ShapeLayout's shape, then false is returned.
  bool MatchesLayoutInShape(const Shape& shape,
                            bool minor_to_major_only = false) const;

// Copies the layout from the given shape into this ShapeLayout. 'other_shape'
  // must be compatible with the ShapeLayout's shape.
  Status CopyLayoutFromShape(const Shape& other_shape);

// Clears (Layout::Clear) all the Layouts stored in this object.
  void Clear();

// Sets all Layouts stored in this object to the default layout.
  void SetToDefaultLayout();

// Returns the shape (with layouts).
  const Shape& shape() const { return shape_; }

// Clear dynamic dimensions of this module. Pretending the module creates
  // static results. Useful in inspecting full outputs when testing.
  void ClearDynamicShape() { shape_.clear_dynamic_dimensions(); }

// Checks that a layout is set for the shape, and returns a reference to the
  // layout directly on the shape. Shape must not be a tuple.
  const Layout& layout() const;

// Returns true if all layouts have been set for this ShapeLayout object. That
  // is, every array has a layout.
  bool LayoutIsSet() const;

// Resets the layout on the shape to the provided layout. Shape must not be a
  // tuple.
  void ResetLayout(const Layout& layout);

// Resets the layout on the shape at the provided ShapeIndex to the provided
  // layout. Shape must be a tuple.
  void ResetLayout(const Layout& layout, ShapeIndexView shape_index);

// Returns a string representation of this object.
  string ToString() const { return ShapeUtil::HumanStringWithLayout(shape_); }

// Tests for equality of both shape and layout (ShapeUtil::Equal).
  bool operator==(const ShapeLayout& other) const;
  bool operator!=(const ShapeLayout& other) const;

private:
  Shape shape_;
};

}  // namespace xla

#endif  // TENSORFLOW_COMPILER_XLA_SHAPE_LAYOUT_H_