chainer_chemistry.models.MLP¶

class chainer_chemistry.models.MLP(out_dim, hidden_dim=16, n_layers=2, activation=<function relu>)[source]¶

Basic implementation for MLP

Parameters:	out_dim (int) – dimension of output feature vector hidden_dim (int) – dimension of feature vector associated to each atom n_layers (int) – number of layers activation (chainer.functions) – activation function

__init__(out_dim, hidden_dim=16, n_layers=2, activation=<function relu>)[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`(out_dim[, hidden_dim, n_layers, …])	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.
`init_scope`()	Creates an initialization scope.
`links`([skipself])	Returns a generator of all links under the hierarchy.
`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`.
`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.
`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.