tensor.cpp File Reference

#include <atomic>
#include <cstddef>
#include <functional>
#include <initializer_list>
#include <optional>
#include <span>
#include <stdexcept>
#include <stdfloat>
#include <unordered_map>
#include <utility>
#include <vector>
import cpp_matrix.neural_network:backend;
import cpp_matrix;

Include dependency graph for tensor.cpp:

Classes
class	cpp_matrix::neural_network::Tensor< Matrix >
	Tensor is a matrix supports auto grad. More...

Macros
#define	OpOperators(M, op, Func)
#define	ReverseOpOperators(M, op)
#define	Operators(M)

Functions
	Operators (cpp_matrix::neural_network::Tensor< cpp_matrix::CpuMatrix< std::float16_t > >)
	Operators (cpp_matrix::neural_network::Tensor< cpp_matrix::CpuMatrix< std::float32_t > >)
	Operators (cpp_matrix::neural_network::Tensor< cpp_matrix::CudaMatrix< std::float16_t > >)
	Operators (cpp_matrix::neural_network::Tensor< cpp_matrix::CudaMatrix< std::float32_t > >)

Macro Definition Documentation

Operators

#define Operators

(

M

)

Value:

    ReverseOpOperators(M, +)    \
    ReverseOpOperators(M, *)    \
    OpOperators(M, /, DivBy)

OpOperators

#define OpOperators	(		M,
			op,
			Func )

Value:

    export M operator op(typename M::ElementType v, const M& m)                                                        \
    {                                                                                                                  \
        return m.Func(v);                                                                                              \
    }

ReverseOpOperators

#define ReverseOpOperators	(		M,
			op )

Value:

    export M operator op(typename M::ElementType v, const M& m)                                                        \
    {                                                                                                                  \
        return m.operator op(v);                                                                                       \
    }