caffe2::AbstractUnsortedSegmentDef< T, SIndex, Context, ReducerDef > Struct Template Reference

Public Types
using	OpDef = ReducerDef
using	Reducer = typename ReducerDef::template Reducer< T, Context >
using	ReducerGradient = typename ReducerDef::template ReducerGradient< T, Context >
using	ForwardOp = AbstractUnsortedSegmentOp< T, SIndex, Context, typename ReducerDef::template Reducer< T, Context >, false >
using	BackwardOp = AbstractUnsortedSegmentGradientOp< T, SIndex, Context, ReducerGradient >
using	GetGradient = SegmentOpGetGradient< ForwardOp, ReducerDef, ReducerGradient, false, false >

Static Public Member Functions
static void	PopulateSchema (OpSchema &schema)

Static Public Attributes
static constexpr const char *	basename = "UnsortedSegment"
static constexpr const char *	doc

Detailed Description

template<typename T, typename SIndex, typename Context, typename ReducerDef>
struct caffe2::AbstractUnsortedSegmentDef< T, SIndex, Context, ReducerDef >

Definition at line 1234 of file segment_reduction_op.h.

Field Documentation

template<typename T , typename SIndex , typename Context , typename ReducerDef >

constexpr const char* caffe2::AbstractUnsortedSegmentDef< T, SIndex, Context, ReducerDef >::doc

static

Initial value:

= R"DOC(
Applies '{op}' to each segment of input tensor. Segments ids can appear in
arbitrary order (unlike in SortedSegment{op}).

SEGMENT_IDS is a vector that maps each of the first dimension slices of the
DATA to a particular group (segment). Values belonging to the same segment are
aggregated together.

If `num_segments` argument is passed it would be used as a first dimension for
the output. Otherwise, it'd be dynamically calculated from as the max value of
SEGMENT_IDS plus one. Other output dimensions are inherited from the input
tensor.

{op_doc}
  )DOC"

Definition at line 1237 of file segment_reduction_op.h.

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The documentation for this struct was generated from the following file:

• caffe2/operators/segment_reduction_op.h