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tf_privacy.restart_query.RestartQuery

DPQuery for SumAggregationDPQuery with a reset_state function.

Inherits From: SumAggregationDPQuery, DPQuery

inner_query A SumAggregationDPQuery has reset_state attribute.
restart_indicator A RestartIndicator to generate the boolean indicator for resetting the state.

Methods

accumulate_preprocessed_record

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Implements tensorflow_privacy.DPQuery.accumulate_preprocessed_record.

accumulate_record

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Accumulates a single record into the sample state.

This is a helper method that simply delegates to preprocess_record and accumulate_preprocessed_record for the common case when both of those functions run on a single device. Typically this will be a simple sum.

Args
params The parameters for the sample. In standard DP-SGD training, the clipping norm for the sample's microbatch gradients (i.e., a maximum norm magnitude to which each gradient is clipped)
sample_state The current sample state. In standard DP-SGD training, the accumulated sum of previous clipped microbatch gradients.
record The record to accumulate. In standard DP-SGD training, the gradient computed for the examples in one microbatch, which may be the gradient for just one example (for size 1 microbatches).

Returns
The updated sample state. In standard DP-SGD training, the set of previous microbatch gradients with the addition of the record argument.

derive_metrics

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Implements tensorflow_privacy.DPQuery.derive_metrics.

derive_sample_params

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Implements tensorflow_privacy.DPQuery.derive_sample_params.

get_noised_result

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Implements tensorflow_privacy.DPQuery.get_noised_result.

initial_global_state

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Implements tensorflow_privacy.DPQuery.initial_global_state.

initial_sample_state

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Implements tensorflow_privacy.DPQuery.initial_sample_state.

merge_sample_states

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Implements tensorflow_privacy.DPQuery.merge_sample_states.

preprocess_record

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Implements tensorflow_privacy.DPQuery.preprocess_record.