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tvm
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Layout expression to describe the data organization of a tensor. And BijectiveLayout to mapping two data layouts between each other. More...
#include <tvm/ffi/reflection/registry.h>#include <tvm/tirx/expr.h>#include <tvm/tirx/op.h>#include <algorithm>#include <sstream>#include <string>#include <utility>#include <vector>#include "tvm/tirx/var.h"Go to the source code of this file.
Classes | |
| class | tvm::tirx::LayoutAxis |
| class | tvm::tirx::LayoutNode |
| Layout is to describe how data is organized within an N-dimention tensor. It is composed of upper cases, lower cases and numbers, where upper case indicates a primal axis and the corresponding lower case with factor size indicates the subordinate axis. For example, NCHW16c can describe a 5-D tensor of [batch_size, channel, height, width, channel_block]. Here subordinate axis channel_block=16 is the factor size of the primal axis C (channel). Layout for scalar is defined, while both its name and axes have size 0. More... | |
| class | tvm::tirx::Layout |
| Managed reference to LayoutNode. More... | |
| class | tvm::tirx::BijectiveLayoutNode |
| class | tvm::tirx::BijectiveLayout |
| Bijective function mapping for data layout transformation. Given two Layout, BijectiveLayout build and store the mapping rules, provides API to transform N-dimention tensor from the source indices (i0, i1, .., im) to the destination indices (j0, j1, .., jm). More... | |
Namespaces | |
| tvm | |
| An object that builds and maintains block scope and StmtSref mapping for Dependence analysis. | |
| tvm::tirx | |
Layout expression to describe the data organization of a tensor. And BijectiveLayout to mapping two data layouts between each other.