mxnet.gluon.rnn.DropoutCell¶

class mxnet.gluon.rnn.DropoutCell(rate, axes=(), prefix=None, params=None)[source]¶

Applies dropout on input.

Parameters

rate (float) – Percentage of elements to drop out, which is 1 - percentage to retain.
axes (tuple of int, default ()) – The axes on which dropout mask is shared. If empty, regular dropout is applied.

Inputs:

data: input tensor with shape (batch_size, size).
states: a list of recurrent state tensors.

Outputs:

out: output tensor with shape (batch_size, size).
next_states: returns input states directly.

__init__(rate, axes=(), prefix=None, params=None)[source]¶: Initialize self. See help(type(self)) for accurate signature.

Methods

`__init__`(rate[, axes, prefix, params])	Initialize self.
`apply`(fn)	Applies `fn` recursively to every child block as well as self.
`begin_state`([batch_size, func])	Initial state for this cell.
`cast`(dtype)	Cast this Block to use another data type.
`collect_params`([select])	Returns a `ParameterDict` containing this `Block` and all of its children’s Parameters(default), also can returns the select `ParameterDict` which match some given regular expressions.
`export`(path[, epoch])	Export HybridBlock to json format that can be loaded by SymbolBlock.imports, mxnet.mod.Module or the C++ interface.
`forward`(inputs, states)	Unrolls the recurrent cell for one time step.
`hybrid_forward`(F, inputs, states)	Overrides to construct symbolic graph for this Block.
`hybridize`([active])	Activates or deactivates `HybridBlock` s recursively.
`infer_shape`(*args)	Infers shape of Parameters from inputs.
`infer_type`(*args)	Infers data type of Parameters from inputs.
`initialize`([init, ctx, verbose, force_reinit])	Initializes `Parameter` s of this `Block` and its children.
`load_parameters`(filename[, ctx, …])	Load parameters from file previously saved by save_parameters.
`load_params`(filename[, ctx, allow_missing, …])	[Deprecated] Please use load_parameters.
`name_scope`()	Returns a name space object managing a child `Block` and parameter names.
`register_child`(block[, name])	Registers block as a child of self.
`register_forward_hook`(hook)	Registers a forward hook on the block.
`register_forward_pre_hook`(hook)	Registers a forward pre-hook on the block.
`reset`()	Reset before re-using the cell for another graph.
`save_parameters`(filename)	Save parameters to file.
`save_params`(filename)	[Deprecated] Please use save_parameters.
`state_info`([batch_size])	shape and layout information of states
`summary`(*inputs)	Print the summary of the model’s output and parameters.
`unroll`(length, inputs[, begin_state, …])	Unrolls an RNN cell across time steps.

Attributes

`name`	Name of this `Block`, without ‘_’ in the end.
`params`	Returns this `Block`’s parameter dictionary (does not include its children’s parameters).
`prefix`	Prefix of this `Block`.