Add Optimizer Accumulation #3
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Optimizer accumulation allows gradient release to approximate gradient accumulation by accumulating gradients into the optimizer states.
Optimizer accumulation was proposed by Zhang et al in AdamAccumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training.
optimi’s implementation enables AdamAccumulation for all optimi optimizers.