업데이트됨
WIPTensor
Library "WIPTensor"
A Tensor or 3 dimensional array structure and interface.
---
Note: im just highjacking the name to use it as a 3d array on a project..
there is no optimization attempts or tensor specific functionality within.
to_string(this)
Convert `Tensor` to a string format.
Parameters:
this: Tensor data.
Returns: string.
to_vector(this)
Convert `Tensor` to a one dimension array.
Parameters:
this: Tensor data.
Returns: New array with flattened `Tensor` data.
new(x, y, z, initial_value)
Create a new `Tensor` with provided shape.
Parameters:
x: Dimension `X` size.
y: Dimension `Y` size.
z: Dimension `Z` size.
initial_value: Value to fill the `Tensor`.
Returns: New `Tensor`.
new(shape, initial_value)
Create a new `Tensor` with provided shape.
Parameters:
shape: Shape of dimensions size.
initial_value: Value to fill the `Tensor`.
Returns: New `Tensor`.
from(expression, sepx, sepy, sepz)
Create a `Tensor` from provided array and shape.
Parameters:
expression
sepx
sepy
sepz
Returns: New `Tensor`.
from(vector, x, y, z)
Create a `Tensor` from provided array and shape.
Parameters:
vector: Data with flattened dimensions.
x
y
z
Returns: New `Tensor`.
from(vector, shape)
Parameters:
vector
shape
get(this, x, y, z)
Get the value at position.
Parameters:
this: `Tensor` data.
x
y
z
Returns: Value at position.
get(this, position)
Parameters:
this
position
set(this, x, y, z, value)
Set the value at position.
Parameters:
this: `Tensor` data.
x
y
z
value: New Value.
set(this, position, value)
Parameters:
this
position
value
Vector
Helper type for 3d structure.
Fields:
v: Vector of the 3rd dimension.
Tensor
A Tensor is a three dimensional array were the 3rd dimension accounts for time.
Fields:
m: Matrix that holds the vectors.
A Tensor or 3 dimensional array structure and interface.
---
Note: im just highjacking the name to use it as a 3d array on a project..
there is no optimization attempts or tensor specific functionality within.
to_string(this)
Convert `Tensor` to a string format.
Parameters:
this: Tensor data.
Returns: string.
to_vector(this)
Convert `Tensor` to a one dimension array.
Parameters:
this: Tensor data.
Returns: New array with flattened `Tensor` data.
new(x, y, z, initial_value)
Create a new `Tensor` with provided shape.
Parameters:
x: Dimension `X` size.
y: Dimension `Y` size.
z: Dimension `Z` size.
initial_value: Value to fill the `Tensor`.
Returns: New `Tensor`.
new(shape, initial_value)
Create a new `Tensor` with provided shape.
Parameters:
shape: Shape of dimensions size.
initial_value: Value to fill the `Tensor`.
Returns: New `Tensor`.
from(expression, sepx, sepy, sepz)
Create a `Tensor` from provided array and shape.
Parameters:
expression
sepx
sepy
sepz
Returns: New `Tensor`.
from(vector, x, y, z)
Create a `Tensor` from provided array and shape.
Parameters:
vector: Data with flattened dimensions.
x
y
z
Returns: New `Tensor`.
from(vector, shape)
Parameters:
vector
shape
get(this, x, y, z)
Get the value at position.
Parameters:
this: `Tensor` data.
x
y
z
Returns: Value at position.
get(this, position)
Parameters:
this
position
set(this, x, y, z, value)
Set the value at position.
Parameters:
this: `Tensor` data.
x
y
z
value: New Value.
set(this, position, value)
Parameters:
this
position
value
Vector
Helper type for 3d structure.
Fields:
v: Vector of the 3rd dimension.
Tensor
A Tensor is a three dimensional array were the 3rd dimension accounts for time.
Fields:
m: Matrix that holds the vectors.
릴리즈 노트
v2 missing functionality x-ºDAdded:
get_vector_xy(this, position)
Parameters:
this
position
set_vector_xy(this, position, values)
Parameters:
this
position
values
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.