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Add support for symbolic tensors to `convert_to_tensor`. #20539

Closed hertschuh closed 2 days ago

hertschuh commented 3 days ago

convert_to_tensor(x, sparse=False) is the API to densify sparse tensors. When used in that manner, the input is already a backend tensor. For this scenario, it makes sense to support symbolic tensors so that one can build a functional model using convert_to_tensor.

Also improved the documentation of convert_to_tensor.

codecov-commenter commented 3 days ago

Codecov Report

Attention: Patch coverage is 92.85714% with 1 line in your changes missing coverage. Please review.

Project coverage is 82.15%. Comparing base (5d36ee1) to head (93957f8).

Files with missing lines Patch % Lines
keras/src/ops/core.py 92.85% 1 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #20539 +/- ## ======================================= Coverage 82.15% 82.15% ======================================= Files 515 515 Lines 47859 47872 +13 Branches 7494 7495 +1 ======================================= + Hits 39317 39329 +12 - Misses 6730 6731 +1 Partials 1812 1812 ``` | [Flag](https://app.codecov.io/gh/keras-team/keras/pull/20539/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | Coverage Δ | | |---|---|---| | [keras](https://app.codecov.io/gh/keras-team/keras/pull/20539/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `82.00% <92.85%> (+<0.01%)` | :arrow_up: | | [keras-jax](https://app.codecov.io/gh/keras-team/keras/pull/20539/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `65.11% <92.85%> (+<0.01%)` | :arrow_up: | | [keras-numpy](https://app.codecov.io/gh/keras-team/keras/pull/20539/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `60.09% <92.85%> (+<0.01%)` | :arrow_up: | | [keras-tensorflow](https://app.codecov.io/gh/keras-team/keras/pull/20539/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `66.09% <92.85%> (+<0.01%)` | :arrow_up: | | [keras-torch](https://app.codecov.io/gh/keras-team/keras/pull/20539/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team) | `65.03% <92.85%> (+<0.01%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=keras-team#carryforward-flags-in-the-pull-request-comment) to find out more.

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