This functions are used in all Torch package for creating and handling classes. The most interesting function is probably torch.class() which allows the user to create easily new classes. torch.typename() might also be interesting to check what is the class of a given Torch object.
The other functions are more for advanced users.
Creates a new Torch class called name. If parentName is provided, the class will inherit
parentName methods. A class is a table which has a particular metatable.
If name is of the form package.className then the class className will be added to the specified package.
In that case, package has to be a valid (and already loaded) package. If name does not contain any ”.”,
then the class will be defined in the global environment.
One [or two] (meta)tables are returned. These tables contain all the method
provided by the class [and its parent class if it has been provided]. After
a call to torch.class() you have to fill-up properly the metatable.
After the class definition is complete, constructing a new class name will be achieved by a call to name().
This call will first call the method
__init()
if it exists, passing all arguments of name().
require "torch" -- for naming convenience do --- creates a class "Foo" local Foo = torch.class('Foo') --- the initializer function Foo:__init() self.contents = "this is some text" end --- a method function Foo:print() print(self.contents) end --- another one function Foo:bip() print('bip') end end --- now create an instance of Foo foo = Foo() --- try it out foo:print() --- create a class torch.Bar which --- inherits from Foo do local Bar, parent = torch.class('torch.Bar', 'Foo') --- the initializer function Bar:__init(stuff) --- call the parent initializer on ourself parent.__init(self) --- do some stuff self.stuff = stuff end --- a new method function Bar:boing() print('boing!') end --- override parent's method function Bar:print() print(self.contents) print(self.stuff) end end --- create a new instance and use it bar = torch.Bar("ha ha!") bar:print() -- overrided method bar:boing() -- child method bar:bip() -- parent's method
For advanced users, it is worth mentionning that torch.class() actually
calls torch.newmetatable(). with a particular
constructor. The constructor creates a Lua table and set the right
metatable on it, and then calls
__init()
if it exists in the metatable. It also sets a factory field
__factory
such that it is possible to create an empty object of this class.
Checks if object has a metatable. If it does, and if it corresponds to a
Torch class, then returns a string containing the name of the
class. Returns nil in any other cases.
A Torch class is a class created with torch.class() or torch.newmetatable().
Given a Torch class name specified by string, returns a unique
corresponding id (defined by a lightuserdata pointing on the internal
structure of the class). This might be useful to do a fast check of the
class of an object (if used with torch.id()), avoiding string
comparisons.
Returns nil if string does not specify a Torch object.
Returns a unique id corresponding to the class of the given Torch object.
The id is defined by a lightuserdata pointing on the internal structure
of the class.
Returns nil if object is not a Torch object.
This is different from the object id returned by torch.pointer().
Register a new metatable as a Torch type with the given string name. The new metatable is returned.
If the string parentName is not nil and is a valid Torch type (previously created
by torch.newmetatable()) then set the corresponding metatable as a metatable to the returned new
metatable.
If the given constructor function is not nil, then assign to the variable name the given constructor.
The given name might be of the form package.className, in which case the className will be local to the
specified package. In that case, package must be a valid and already loaded package.
Returns the factory function of the Torch class name. If the class name is invalid or if the class
has no factory, then returns nil.
A Torch class is a class created with torch.class() or torch.newmetatable().
A factory function is able to return a new (empty) object of its corresponding class. This is helpful for object serialization.
Given a string, returns a metatable corresponding to the Torch class described
by string. Returns nil if the class does not exist.
A Torch class is a class created with torch.class() or torch.newmetatable().
Example:
> for k,v in pairs(torch.getmetatable("torch.CharStorage")) do print(k,v) end __index__ function: 0x1a4ba80 __typename torch.CharStorage write function: 0x1a49cc0 __tostring__ function: 0x1a586e0 __newindex__ function: 0x1a4ba40 string function: 0x1a4d860 __version 1 copy function: 0x1a49c80 read function: 0x1a4d840 __len__ function: 0x1a37440 fill function: 0x1a375c0 resize function: 0x1a37580 __index table: 0x1a4a080 size function: 0x1a4ba20
If the two objects given as arguments are Lua tables (or Torch objects), then returns true if and only if the
tables (or Torch objects) have the same address in memory. Returns false in any other cases.
A Torch class is a class created with torch.class() or torch.newmetatable().
Returns the Lua table environment of the given function or the given
userdata. To know more about environments, please read the documentation
of lua_setfenv()
and lua_getfenv().
Returns the field
__version
of a given object. This might be helpful to handle variations in a class over time.
Returns a unique id (pointer) of the given object, which can be a Torch
object, a table, a thread or a function.
This is different from the class id returned by torch.id().
Sets the default tensor type for all the tensors allocated from this point on. Valid types are:
ByteTensorCharTensorShortTensorIntTensorFloatTensorDoubleTensor
Assign table as the Lua environment of the given function or the given
userdata. To know more about environments, please read the documentation
of lua_setfenv()
and lua_getfenv().
Set the metatable of the given table to the metatable of the Torch
object named classname. This function has to be used with a lot
of care.