from .convSynapse import ConvSynapse
[docs]
class StaticConvSynapse(ConvSynapse):
"""
A static convolutional synaptic cable; no form of synaptic evolution/adaptation
is in-built to this component.
| --- Synapse Compartments: ---
| inputs - input (takes in external signals)
| outputs - output signals
| weights - current value tensor of kernel efficacies
| biases - current base-rate/bias efficacies
Args:
name: the string name of this cell
x_shape: 2d shape of input map signal (component currently assumess a square input maps)
shape: tuple specifying shape of this synaptic cable (usually a 4-tuple
with number `filter height x filter width x input channels x number output channels`);
note that currently filters/kernels are assumed to be square
(kernel.width = kernel.height)
filter_init: a kernel to drive initialization of this synaptic cable's
filter values
bias_init: kernel to drive initialization of bias/base-rate values
(Default: None, which turns off/disables biases)
stride: length/size of stride
padding: pre-operator padding to use -- "VALID" (none), "SAME"
resist_scale: a fixed (resistance) scaling factor to apply to synaptic
transform (Default: 1.), i.e., yields: out = ((K @ in) * resist_scale) + b
where `@` denotes convolution
batch_size: batch size dimension of this component
"""
pass