PINE LIBRARY
WIPTensor
Telah dikemas kini
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.
Nota Keluaran
v2 missing functionality x-ºDAdded:
get_vector_xy(this, position)
Parameters:
this
position
set_vector_xy(this, position, values)
Parameters:
this
position
values
Perpustakaan Pine
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Penafian
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