-
Notifications
You must be signed in to change notification settings - Fork 501
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Add new optimizer state row_counter
for Adam [Backend]
#3342
Open
spcyppt
wants to merge
1
commit into
pytorch:main
Choose a base branch
from
spcyppt:export-D64808460
base: main
Could not load branches
Branch not found: {{ refName }}
Loading
Could not load tags
Nothing to show
Loading
Are you sure you want to change the base?
Some commits from the old base branch may be removed from the timeline,
and old review comments may become outdated.
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This pull request was exported from Phabricator. Differential Revision: D64808460 |
✅ Deploy Preview for pytorch-fbgemm-docs ready!
To edit notification comments on pull requests, go to your Netlify site configuration. |
spcyppt
added a commit
to spcyppt/FBGEMM
that referenced
this pull request
Nov 8, 2024
Summary: X-link: facebookresearch/FBGEMM#436 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, ... ) Differential Revision: D64808460
spcyppt
force-pushed
the
export-D64808460
branch
from
November 8, 2024 23:27
b34e516
to
1225f9c
Compare
This pull request was exported from Phabricator. Differential Revision: D64808460 |
Summary: X-link: facebookresearch/FBGEMM#436 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 from Kineto__** (unweighted) ``` 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: D64808460
spcyppt
force-pushed
the
export-D64808460
branch
from
November 13, 2024 04:55
1225f9c
to
f2cf409
Compare
This pull request was exported from Phabricator. Differential Revision: D64808460 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Summary:
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),
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.
To enable the bias correction,
use_rowwise_bias_correction
needs to be set to True through extra_optimizer_config.