HDF5
HDF5 network exchange module.
- class lava.lib.dl.netx.hdf5.Network(*args, **kwargs)
Generates a Lava process for the network described in hdf5 config.
- Parameters
net_config (str) – name of the hdf5 config filename.
num_layers (int, optional) – number of blocks to generate. An integer valuew will only generate the first
num_layers
blocks in the description. The actual number of generated layers may be less thannum_layers
. If it is None, all the layers are generated. Defaults to None.has_graded_input (bool, optional) – flag indicating the input spike type of input layer. Defaults to False.
- __len__() int
Number of layers in the network.
- __str__() str
Network description string.
- static create_conv(layer_config: h5py._hl.group.Group, input_shape: Tuple[int, int, int], has_graded_input: bool = False) Tuple[lava.lib.dl.netx.blocks.process.Conv, str]
Creates conv layer from layer configuration
- Parameters
layer_config (h5py.Group) – hdf5 handle to layer description.
input_shape (tuple of 3 ints) – shape of input to the block.
has_graded_input (bool, optional) – flag to indicate graded spikes at input, by default False.
- Returns
AbstractProcess – dense block process.
str – table entry string for process.
- static create_dense(layer_config: h5py._hl.group.Group, has_graded_input: bool = False) Tuple[lava.lib.dl.netx.blocks.process.Dense, str]
Creates dense layer from layer configuration
- Parameters
layer_config (h5py.Group) – hdf5 handle to layer description.
has_graded_input (bool, optional) – flag to indicate graded spikes at input, by default False.
- Returns
AbstractProcess – dense block process.
str – table entry string for process.
- static create_input(layer_config: h5py._hl.group.Group) Tuple[lava.lib.dl.netx.blocks.process.Input, str]
Creates input layer from layer configuration.
- Parameters
layer_config (h5py.Group) – hdf5 handle to layer description.
- Returns
AbstractProcess – input block process.
str – table entry string for process.
- static get_neuron_params(neuron_config: h5py._hl.group.Group, input: bool = False) lava.magma.core.process.process.AbstractProcess
Provides the correct neuron configuration process and parameters from the neuron description in hdf5 config.
- Parameters
neuron_config (h5py.Group) – hdf5 object describing the neuron configuration
input (bool) – flag to indicate if the layer is input. For some cases special processing may be done.
- Returns
The Lava process that implements the neuron described.
- Return type
- class lava.lib.dl.netx.hdf5.PyNetworkModel(proc: lava.magma.core.process.process.AbstractProcess)
- implements_process
alias of
lava.lib.dl.netx.hdf5.Network
- implements_protocol
alias of
lava.magma.core.sync.protocols.loihi_protocol.LoihiProtocol