VPRTempo v1.1.0 #10
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VPRTempo v1.1.0 #10
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…ocesses everthing and loads data through torch. Fixed up the weight additions, each layer with a True flag for weight additions is responsible for storing excitatory and inhibitory weights
…roblems, benched the system for speed compared to vanilla VPRTempo and is comparable when comparing image import times
…and inf values, can't debug
…lues, finalized the output layer spike force training, adapted single training function to handle training of all layers
…-training, need to configure the test input tiling across modules
…. Investigate further
…ight update is adding is very high - investigate further
…hat bmm not supported for quantized tensors so need to explore a bit further
…with nn.Linear - removed modularity for now. Working on QAT, can train but cannot evaluate due to x and x_input tensors not quantized.
…rbage out. Looking like some x and x_input values are adding gradients and getting big over time, investigate further.
…quantized spikes is set to 1 so essentially all temporal information lost
QAT fully implemented
…ing and inferencing
… training and inference models
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Ready to merge to QVPR repo the newest version of VPRTempo.