tf-slice-assign
A tool for assignment to a slice in TensorFlow.
In TensorFlow, as opposed to Pytorch, it is currently impossible to assign to
the slice of a tensor in a range of different settings.
To mitigate this issue, tf-slice-assign introduces a single function that
allows to do exactly this using tensor_scatter_nd_update.
Use
from tf_slice_assign import slice_assign
new_tensor = slice_assign(old_tensor, assignment, *slice_args)
You can find a relatively simple example here.
Installation
pip install tf-slice-assign
List of GitHub issues and StackOverflow questions regarding TensorFlow slice assignment
In the following table, I am trying to give the reasons as to why no mitigation for the current problem exists.
| Link | Status |
|---|---|
| SO | Current answer requires creating a tf.Variable for each slice assignment you make |
| GH | Question is about tf.Variable |
| SO | Answers for tf.Variable or using tensor_scatter_update in a non-adaptable way |
| GH | Suggestion to use tensor_scatter_nd_update |
| GH | An answer suggest creating a mask, but a mask can actually be as difficult to create as the indices for tensor_scatter_nd_update |
1 maintainer
Release files for tf-slice-assign 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| tf-slice-assign-0.0.4.tar.gz | 4.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tf_slice_assign-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.0 kB
Release files / tf-slice-assign-0.0.4.tar.gz
| Download URL | tf-slice-assign-0.0.4.tar.gz |
|---|---|
| Size | 4.7 kB |
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Release files / tf_slice_assign-0.0.4-py3-none-any.whl
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| Tags | Python 3 |
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