TensorSpec.h File Reference (original) (raw)

#include "llvm/Config/llvm-config.h"
#include "[llvm/Support/Compiler.h](Compiler%5F8h%5Fsource.html)"
#include "[llvm/ADT/StringMap.h](ADT%5F2StringMap%5F8h%5Fsource.html)"
#include "[llvm/IR/LLVMContext.h](LLVMContext%5F8h%5Fsource.html)"
#include <optional>
#include <vector>

Go to the source code of this file.

Namespaces
namespace	llvm
	This is an optimization pass for GlobalISel generic memory operations.
namespace	llvm::json

◆ _TENSOR_TYPE_ENUM_MEMBERS

#define _TENSOR_TYPE_ENUM_MEMBERS	(	_,
Name )

◆ SUPPORTED_TENSOR_TYPES

#define SUPPORTED_TENSOR_TYPES	(	M	)

Value:

M(double, Double) \

M(int8_t, Int8) \

M(int16_t, Int16) \

M(int32_t, Int32) \

M(int64_t, Int64) \

TensorSpec encapsulates the specification of a tensor: its dimensions, or "shape" (row-major), its type (see TensorSpec::getDataType specializations for supported types), its name and port (see "TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems", section 4.2, para 2: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/45166.pdf)

Note that the design is motivated by Tensorflow, but it is not intended to be Tensorflow-specific.

Known tensor types. The left part is the C type, the right is a name we can use to identify the type (to implement TensorSpec equality checks), and to use, if needed, when mapping to an underlying evaluator's type system. The main requirement is that the C type we use has the same size and encoding (e.g. endian-ness) as the one used by the evaluator.

Definition at line 42 of file TensorSpec.h.

Referenced by llvm::getTensorSpecFromJSON(), and llvm::tensorValueToString().

◆ TFUTILS_GETDATATYPE_DEF

#define TFUTILS_GETDATATYPE_DEF	(	T,
Name )