versions/v0.7.4/Generator_8hpp_source.html

#ifndef _Generator_H_

#define _Generator_H_

#include "Type.hpp"

#include "Device.hpp"

#include "cytnx_error.hpp"

#include "Tensor.hpp"

#include <vector>

#include <initializer_list>

namespace cytnx{


    Tensor zeros(const cytnx_uint64 &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu);

    Tensor zeros(const std::vector<cytnx_uint64> &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu);


    Tensor identity(const cytnx_uint64 &Dim, const unsigned int &dtype=Type.Double, const int &device=Device.cpu);


    Tensor eye(const cytnx_uint64 &Dim, const unsigned int &dtype=Type.Double, const int &device=Device.cpu);


    Tensor ones(const cytnx_uint64 &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu);

    Tensor ones(const std::vector<cytnx_uint64> &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu);


    Tensor arange(const cytnx_int64 &Nelem);

    Tensor arange(const cytnx_double &start, const cytnx_double &end, const cytnx_double &step=1,const unsigned int &dtype=Type.Double, const int &device=Device.cpu);


    Tensor linspace(const cytnx_double &start, const cytnx_double &end, const cytnx_uint64 &Nelem, const bool &endpoint=true, const unsigned int &dtype=Type.Double, const int &device=Device.cpu);


    //Tensor rand(const std::vector<cytnx_uint64> &size);

    //Tensor randn(const std::vector<cytnx_uint64> &size);

    //Tensor normal(const cytnx_double &mean, cytnx_double &std);


}


#endif

Device.hpp

Tensor.hpp

Type.hpp

cytnx_error.hpp

cytnx
Definition Accessor.hpp:12

cytnx::Device
Device_class Device
Definition Device.cpp:105

cytnx::cytnx_double
double cytnx_double
Definition Type.hpp:20

cytnx::linspace
Tensor linspace(const cytnx_double &start, const cytnx_double &end, const cytnx_uint64 &Nelem, const bool &endpoint=true, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
Definition Generator.cpp:73

cytnx::arange
Tensor arange(const cytnx_int64 &Nelem)
create an rank-1 Tensor with incremental unsigned integer elements start with [0,Nelem)
Definition Generator.cpp:68

cytnx::ones
Tensor ones(const cytnx_uint64 &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
create an rank-1 Tensor with all the elements are initialized with one.
Definition Generator.cpp:23

cytnx::cytnx_uint64
uint64_t cytnx_uint64
Definition Type.hpp:22

cytnx::cytnx_int64
int64_t cytnx_int64
Definition Type.hpp:25

cytnx::zeros
Tensor zeros(const cytnx_uint64 &Nelem, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
create an rank-1 Tensor with all the elements are initialized with zero.
Definition Generator.cpp:10

cytnx::Type
Type_class Type
Definition Type.cpp:137

cytnx::identity
Tensor identity(const cytnx_uint64 &Dim, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
create an square rank-2 Tensor with all diagonal to be one.
Definition Generator.cpp:34

cytnx::eye
Tensor eye(const cytnx_uint64 &Dim, const unsigned int &dtype=Type.Double, const int &device=Device.cpu)
create an square rank-2 Tensor with all diagonal to be one.
Definition Generator.cpp:38