feat: add TypeTransformer for Tensorflow Model#1241
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Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
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Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
Adding |
Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
…-type-transformer Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
…-type-transformer Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
pingsutw
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Two tests are failing. ModuleNotFoundError: No module named 'tensorflow'
You have to run make dev-requirements.txt to update the requirements in dev-requirements.txt, and then GA will be able to install TensorFlow.
Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
| raise ValueError(f"Transformer {self} cannot reverse {literal_type}") | ||
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| class TensorflowModelTransformer(TensorflowTypeTransformer[tf.keras.Model]): |
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@techytushar, tf.Module is the parent class for tf.keras.Model and tf.keras.layers.Layer. Can you use that here? Also, can you merge this class into the parent class cause I don't think we need to use Generic in the first place if there's only one override?
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@pingsutw, what do you think about having a |
| @task | ||
| def get_model_layers(model: tf.keras.Model) -> List[tf.keras.layers.Layer]: | ||
| return model.layers |
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This test shouldn't use your type transformer; it should just pickle. So it doesn't make sense to have unless you add a type transformer for tf.Module.
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Also, I'm unsure if List[...] will work. tf.keras.layers.Layer should, however, work after you add tf.Module.
yes. make sense. I prefer |
Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
Codecov Report
@@ Coverage Diff @@
## master #1241 +/- ##
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- Coverage 68.80% 68.70% -0.10%
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Files 286 292 +6
Lines 26363 26460 +97
Branches 2492 2124 -368
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+ Hits 18138 18180 +42
- Misses 7740 7801 +61
+ Partials 485 479 -6
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Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
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@techytushar, let me know once the changes are in. |
Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
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@samhita-alla I have pushed the changes. Note: I could not use the generic Struct type for storing the layer config because in protobuf format the More info here: https://stackoverflow.com/questions/51818125/how-to-use-ints-in-a-protobuf-struct |
Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
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…-type-transformer Signed-off-by: Tushar Mittal <chiragmittal.mittal@gmail.com>
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@samhita-alla since its the last day of Hacktoberfest and all comments are resolved, please can you merge this PR or add label so that it can count towards my contribution |
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@techytushar, I'll merge the PR later as I need to push some changes. |
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fixes flyteorg/flyte#2570. We're going to need to move these changes into the tensorflow plugin @eapolinario |
Great, I'll make sure to incorporate those there. |
TL;DR
This PR adds support for:
Note: I was not able to run the
pip-compilecommands to generate the newrequirementsfiles, it failed onprotobufversion errorType
Are all requirements met?
Complete description
How did you fix the bug, make the feature etc. Link to any design docs etc
Tracking Issue
flyteorg/flyte#2570
Follow-up issue
NA