Add new optimizer state row_counter for Adam [Frontend]
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Summary: X-link: facebookresearch/FBGEMM#643 A new optional optimizer state `row_counter` is added to Adam to perform bias correction per embedding row. `row_counter` serves as the iteration counter when a row (an index) occurs and used to do bias correction. Without rowwise bias correction (existing Adam), ``` m_hat_t = m_t / (1.0 - powf(beta1, iter)); v_hat_t = v_t / (1.0 - powf(beta2, iter)); ``` With rowwise bias correction enabled. ``` // when index `idx` occurs _row_counter = row_counter[idx] + 1; m_hat_t = m_t / (1.0 - powf(beta1, _row_counter)); v_hat_t = v_t / (1.0 - powf(beta2, _row_counter)); ``` This request is from IG to allow all the models to be scaled on sparse features with expected 1.5% NE on Stories. ------- **__The functionality is not set by default.__** Frontend: D64848802 To enable the bias correction, `use_rowwise_bias_correction` needs to be set to True through extra_optimizer_config. ``` extra_optimizer_config = UserEnabledConfigDefinition(use_rowwise_bias_correction=True) emb_op = SplitTableBatchedEmbeddingBagsCodegen ( embedding_specs=[ (E, D, M, compute_device) for (E, D, M) in zip(Es, Ds, managed) ], optimizer=OptimType.Adam extra_optimizer_config=extra_optimizer_config, ... ) ``` ------ **__Performance__** ``` Baseline* | default** | enabled*** forward | cpu | 2.293 s | 2.188 s | 2.043 s | cuda | 12.512 ms | 12.539 ms | 12.547 ms backward | cpu | 69.861 ms | 66.546 ms | 65.880 ms | cuda | 103.429 ms | 103.395 ms | 103.130 ms ``` \* Baseline: before changes \** default: default setting; use_bias_correction = False \*** enabled: use_bias_correction = True Reviewed By: sryap Differential Revision: D64848802
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Summary:
A new optional optimizer state
row_counteris added to Adam to perform bias correction per embedding row.row_counterserves as the iteration counter when a row (an index) occurs and used to do bias correction.Without rowwise bias correction (existing Adam),
With rowwise bias correction enabled.
This request is from IG to allow all the models to be scaled on sparse features with expected 1.5% NE on Stories.
The functionality is not set by default. Frontend: D64848802
To enable the bias correction,
use_rowwise_bias_correctionneeds to be set to True through extra_optimizer_config.Performance
* Baseline: before changes
** default: default setting; use_bias_correction = False
*** enabled: use_bias_correction = True
Reviewed By: sryap
Differential Revision: D64848802