EffectiveDimension.run_monte_carlo

EffectiveDimension.run_monte_carlo()

This method computes the model’s Monte Carlo sampling for a set of input samples and weight samples.

반환:

QNN gradient vector, result of backward passes, of shape

(num_input_samples * num_weight_samples, output_size, num_weights).

outputs: QNN output vector, result of forward passes, of shape

(num_input_samples * num_weight_samples, output_size).

반환 형식:

grads