chainer_chemistry.models.BaseForwardModel¶

class chainer_chemistry.models.BaseForwardModel[source]¶

A base model which supports forward functionality.

It also supports device id management and pickle save/load functionality.

Parameters:	device (int) – GPU device id of this model to be used. -1 indicates to use in CPU.

_dev_id¶

Model’s current device id

Type:	int

__init__()[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`()	Initialize self.
`add_hook`(hook[, name])	Registers a link hook.
`add_link`(name, link)	Registers a child link to this chain.
`add_param`(name[, shape, dtype, initializer])	Registers a parameter to the link.
`add_persistent`(name, value)	Registers a persistent value to the link.
`addgrads`(link)	Accumulates gradient values from given link.
`children`()	Returns a generator of all child links.
`cleargrads`()	Clears all gradient arrays.
`copy`([mode])	Copies the link hierarchy to new one.
`copyparams`(link[, copy_persistent])	Copies all parameters from given link.
`count_params`()	Counts the total number of parameters.
`delete_hook`(name)	Unregisters the link hook.
`disable_update`()	Disables update rules of all parameters under the link hierarchy.
`enable_update`()	Enables update rules of all parameters under the link hierarchy.
`get_device`()
`init_scope`()	Creates an initialization scope.
`initialize`([device])	Initialization of the model.
`links`([skipself])	Returns a generator of all links under the hierarchy.
`load_pickle`(filepath[, device])	Load the model from filepath of pickle file, and send to device
`namedlinks`([skipself])	Returns a generator of all (path, link) pairs under the hierarchy.
`namedparams`([include_uninit])	Returns a generator of all (path, param) pairs under the hierarchy.
`params`([include_uninit])	Returns a generator of all parameters under the link hierarchy.
`register_persistent`(name)	Registers an attribute of a given name as a persistent value.
`repeat`(n_repeat[, mode])	Repeats this link multiple times to make a `Sequential`.
`save_pickle`(filepath[, protocol])	Save the model to filepath as a pickle file
`serialize`(serializer)	Serializes the link object.
`to_cpu`()	Copies parameter variables and persistent values to CPU.
`to_gpu`([device])	Copies parameter variables and persistent values to GPU.
`to_intel64`()	Copies parameter variables and persistent values to CPU.
`update_device`([device])
`zerograds`()	Initializes all gradient arrays by zero.

Attributes

`local_link_hooks`	Ordered dictionary of registered link hooks.
`update_enabled`	`True` if at least one parameter has an update rule enabled.
`within_init_scope`	True if the current code is inside of an initialization scope.
`xp`	Array module for this link.