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EffectiveDimension.run_monte_carlo

EffectiveDimension.run_monte_carlo()[source]

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

Returns:

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).

Return type:

grads