QAT example for TF backend #3164
Merged
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
github-actions
bot
added
the
documentation
andrey-churkin
force-pushed
the
ac/qat_tf_example
branch
from
a621227 to
80c597a
Compare
andrey-churkin
changed the title
andrey-churkin
commented
Jan 7, 2025
alexsu52
requested changes
Jan 7, 2025
github-actions
bot
added
NNCF TF
andrey-churkin
force-pushed
the
ac/qat_tf_example
branch
from
f1f5493 to
c1faf40
Compare
|
@daniil-lyakhov , please also review it |
|
NNCF/nightly/test_examples : 642 |
examples/quantization_aware_training/tensorflow/mobilenet_v2/main.py
Outdated
Show resolved
Hide resolved
examples/quantization_aware_training/tensorflow/mobilenet_v2/main.py
Outdated
Show resolved
Hide resolved
examples/quantization_aware_training/tensorflow/mobilenet_v2/main.py
Outdated
Show resolved
Hide resolved
andrey-churkin
commented
Jan 16, 2025
| """ | ||
| Implementation of the nncf.strip() function for the TF backend | ||
| """ | ||
| wrapped_layers = collect_wrapped_layers(model) |
There was a problem hiding this comment.
@alexsu52 I just want to highlight. I will move the nncf.strip() call inside the convert_model() function, as we discussed. This means that the method will be called for every TensorFlow (TF) model, whether quantized or not. The collect_wrapped_layers() function will be called (for any TF model) to check if there are any of our layers. It traverses all layers.
alexsu52
reviewed
Jan 16, 2025
examples/post_training_quantization/tensorflow/mobilenet_v2/main.py
Outdated
Show resolved
Hide resolved
examples/quantization_aware_training/tensorflow/mobilenet_v2/main.py
Outdated
Show resolved
Hide resolved
daniil-lyakhov
approved these changes
Jan 16, 2025
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.
Changes
Add simple QAT example for TF backend
Reason for changes
Ref: 158980
Related tickets
Ref: 158980
Tests