tensorflow / tensorflow/models

Cut StatefulPartitionedCall from TF 2 OD model architecture

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#10,964 2 comments 0 reactions 1 assignee View on GitHub

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models:research type:feature
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Python
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Description

Prerequisites

Please answer the following question for yourself before submitting an issue.

  • I checked to make sure that this feature has not been requested already.

1. The entire URL of the file you are using

https://github.com/tensorflow/models/tree/master/research/...

2. Describe the feature you request

Since StatefulPartitionedCall layers are not convolutional, I want them to be able to be removed after training, since they are not used during model runtime

3. Additional context

image
image
image

4. Are you willing to contribute it? (Yes or No)

No

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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