Caffe2 - C++ API
A deep learning, cross platform ML framework
Public Types | Static Public Member Functions | Static Public Attributes
caffe2::AbstractSortedSegmentDef< 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 = AbstractSortedSegmentOp< T, SIndex, Context, Reducer, false >
 
using BackwardOp = AbstractSortedSegmentGradientOp< T, SIndex, Context, ReducerGradient >
 
using GetGradient = SegmentOpGetGradient< ForwardOp, ReducerDef, ReducerGradient, true, false >
 

Static Public Member Functions

static void PopulateSchema (OpSchema &schema)
 

Static Public Attributes

static constexpr const char * basename = "SortedSegment"
 
static constexpr const char * doc
 

Detailed Description

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

Definition at line 870 of file segment_reduction_op.h.

Field Documentation

template<typename T , typename SIndex , typename Context , typename ReducerDef >
constexpr const char* caffe2::AbstractSortedSegmentDef< T, SIndex, Context, ReducerDef >::doc
static
Initial value:
= R"DOC(
Applies '{op}' to each segment of input tensor. Segments need to be sorted and
contiguous. See also UnsortedSegment{op} that doesn't have this requirement.
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.
The first dimension of the output is equal to the number of input segments,
i.e. `SEGMENT_IDS[-1]+1`. Other dimensions are inherited from the input tensor.
{op_doc}
)DOC"

Definition at line 873 of file segment_reduction_op.h.


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