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torch.optim.SparseAdamOptions

export interface SparseAdamOptions {
  /** Learning rate (default: 1e-3) */
  lr?: number;
  /** Coefficients for computing running averages of gradient and its square (default: [0.9, 0.999]) */
  betas?: [number, number];
  /** Term added to the denominator to improve numerical stability (default: 1e-8) */
  eps?: number;
  /** Maximize the objective with respect to params (default: false) */
  maximize?: boolean;
}
lr(number)optional
– Learning rate (default: 1e-3)
betas([number, number])optional
– Coefficients for computing running averages of gradient and its square (default: [0.9, 0.999])
eps(number)optional
– Term added to the denominator to improve numerical stability (default: 1e-8)
maximize(boolean)optional
– Maximize the objective with respect to params (default: false)

Options for SparseAdam optimizer.

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