maix::tensor
maix.tensor module
This is
maix::tensor
module of MaixCDK.
All of these elements are in namespacemaix::tensor
.For MaixCDK developer: DO NOT edit this doc file manually, this doc is auto generated!
Module
No module
Enum
DType
Tensor data types
item | describe |
---|---|
values | UINT8: INT8: UINT16: INT16: UINT32: INT32: FLOAT16: FLOAT32: FLOAT64: BOOL: DTYPE_MAX: |
C++ defination code:
enum DType { UINT8 = 0, INT8, UINT16, INT16, UINT32, INT32, FLOAT16, FLOAT32, FLOAT64, BOOL, // STRING, // OBJECT, DTYPE_MAX }
Variable
dtype_size
Tensor data type size in bytes
item | description |
---|---|
attention | It's a copy of this variable in MaixPy, so change it in C++ (e.g. update var in hello function) will not take effect the var inMaixPy. So we add const for this var to avoid this mistake. |
value | { 1, // UINT8 1, // INT8 2, // UINT16 2, // INT16 4, // UINT32 4, // INT32 2, // FLOAT16 4, // FLOAT32 8, // FLOAT64 1, // BOOL // 1, // STRING // 1, // OBJECT 0 } |
readonly | True |
C++ defination code:
const std::vector<int> dtype_size = { 1, // UINT8 1, // INT8 2, // UINT16 2, // INT16 4, // UINT32 4, // INT32 2, // FLOAT16 4, // FLOAT32 8, // FLOAT64 1, // BOOL // 1, // STRING // 1, // OBJECT 0 }
dtype_name
Tensor data type name
item | description |
---|---|
value | { "uint8", "int8", "uint16", "int16", "uint32", "int32", "float16", "float32", "float64", "bool", // "string", // "object", "invalid" } |
readonly | True |
C++ defination code:
const std::vector<std::string> dtype_name = { "uint8", "int8", "uint16", "int16", "uint32", "int32", "float16", "float32", "float64", "bool", // "string", // "object", "invalid" }
Function
Class
Tensor
Tensor class
C++ defination code:
class Tensor
__init__
Tensor constructor
item | description |
---|---|
type | func |
param | shape: tensor shape, a int list dtype: tensor element data type, see DType of this module |
static | False |
C++ defination code:
Tensor(std::vector<int> shape, tensor::DType dtype)
Tensor
Tensor constructor
item | description |
---|---|
type | func |
param | shape: tensor shape, a int list dtype: tensor element data type, see DType of this module data: pointer to data content, can be nullptr, it will automatically alloc memory and detroy it when this object is destroyed copy: defalt true to alloc new memory and copy from data. |
static | False |
C++ defination code:
Tensor(std::vector<int> shape, tensor::DType dtype, void *data, bool copy = true)
to_str
To string
item | description |
---|---|
type | func |
static | False |
C++ defination code:
std::string to_str()
__str__
To string
item | description |
---|---|
type | func |
static | False |
C++ defination code:
std::string __str__()
shape
get tensor shape
item | description |
---|---|
type | func |
return | tensor shape, a int list |
static | False |
C++ defination code:
std::vector<int> shape()
expand_dims
expand tensor shape
item | description |
---|---|
type | func |
param | axis: axis to expand |
static | False |
C++ defination code:
void expand_dims(int axis)
reshape
reshape tensor shape, if size not match, it will throw an err::Exception
item | description |
---|---|
type | func |
param | shape: new shape |
static | False |
C++ defination code:
void reshape(std::vector<int> shape)
flatten
Flatten tensor shape to 1D
item | description |
---|---|
type | func |
static | False |
C++ defination code:
void flatten()
dtype
get tensor data type
item | description |
---|---|
type | func |
return | tensor data type, see DType of this module |
static | False |
C++ defination code:
tensor::DType dtype()
to_float_list
get tensor data and return a list
item | description |
---|---|
type | func |
return | list type data |
static | False |
C++ defination code:
std::valarray<float>* to_float_list()
argmax
argmax of tensor
item | description |
---|---|
type | func |
param | axis: By default, the index is into the flattened array, otherwise along the specified axis., wrong axis will throw an err::Exception |
return | argmax result, you need to delete it after use in C++. |
static | False |
C++ defination code:
tensor::Tensor *argmax(int axis = 0xffff)
argmax1
argmax1, flattened data max index
item | description |
---|---|
type | func |
return | argmax result, int type |
static | False |
C++ defination code:
int argmax1()
Tensors
Tensors
C++ defination code:
class Tensors
Tensors
Constructor of Tensors
item | description |
---|---|
type | func |
static | False |
C++ defination code:
Tensors()
add_tensor
Add tensor
item | description |
---|---|
type | func |
static | False |
C++ defination code:
void add_tensor(const std::string &key, tensor::Tensor *tensor, bool copy, bool auto_delete)
rm_tensor
Remove tensor
item | description |
---|---|
type | func |
static | False |
C++ defination code:
void rm_tensor(const std::string &key)
clear
Clear tensors
item | description |
---|---|
type | func |
static | False |
C++ defination code:
void clear()
begin
Begin of tensors
item | description |
---|---|
type | func |
static | False |
C++ defination code:
std::map<std::string, tensor::Tensor*>::iterator begin()
end
End of tensors
item | description |
---|---|
type | func |
static | False |
C++ defination code:
std::map<std::string, tensor::Tensor*>::iterator end()
next
next
item | description |
---|---|
type | func |
static | False |
C++ defination code:
std::map<std::string, tensor::Tensor*>::iterator next(std::map<std::string, tensor::Tensor*>::iterator it)
get_tensor
Get tensor by key
item | description |
---|---|
type | func |
static | False |
C++ defination code:
tensor::Tensor &get_tensor(const std::string &key)
[]
Operator []
item | description |
---|---|
type | func |
static | False |
C++ defination code:
tensor::Tensor &operator[](const std::string &key)
size
Size
item | description |
---|---|
type | func |
static | False |
C++ defination code:
size_t size()
keys
Get names
item | description |
---|---|
type | func |
static | False |
C++ defination code:
std::vector<std::string> keys()
tensors
Tensors data, dict type
item | description |
---|---|
type | var |
static | False |
readonly | False |
C++ defination code:
std::map<std::string, tensor::Tensor*> tensors