[doc] Add doc ndarray #7157
Merged
[doc] Add doc ndarray #7157
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
✅ Deploy Preview for docsite-preview ready!
To edit notification comments on pull requests, go to your Netlify site settings. |
for more information, see https://pre-commit.ci
ailzhang
reviewed
Jan 13, 2023
ailzhang
reviewed
Jan 13, 2023
docs/lang/articles/basic/ndarray.md
Outdated
Comment on lines
146
to
149
| :::Note | ||
| Every element in the external array (`arr_np` and `arr_torch`) is added by `1.0` when the Taichi kernel `add_one` finishes. | ||
| ::: | ||
|
|
There was a problem hiding this comment.
Suggested change
| :::Note | |
| Every element in the external array (`arr_np` and `arr_torch`) is added by `1.0` when the Taichi kernel `add_one` finishes. | |
| ::: | |
| :::note | |
| Every element in the external array (`arr_np` and `arr_torch`) is added by `1.0` when the Taichi kernel `add_one` finishes. | |
| ::: | |
docs/lang/articles/basic/ndarray.md
Outdated
Comment on lines
154
to
156
| :::TIPS | ||
| NumPy's default data precision is 64-bit, which is still inefficient for most desktop GPUs. It is recommended to explicitly specify 32-bit data types. | ||
| ::: |
There was a problem hiding this comment.
Suggested change
| :::TIPS | |
| NumPy's default data precision is 64-bit, which is still inefficient for most desktop GPUs. It is recommended to explicitly specify 32-bit data types. | |
| ::: | |
| :::tip | |
| NumPy's default data precision is 64-bit, which is still inefficient for most desktop GPUs. It is recommended to explicitly specify 32-bit data types. | |
| ::: |
docs/lang/articles/basic/ndarray.md
Outdated
Comment on lines
158
to
160
| :::TIPS | ||
| Only contiguous NumPy arrays and PyTorch tensors are supported. | ||
| ::: |
There was a problem hiding this comment.
Suggested change
| :::TIPS | |
| Only contiguous NumPy arrays and PyTorch tensors are supported. | |
| ::: | |
| :::tip | |
| Only contiguous NumPy arrays and PyTorch tensors are supported. | |
| ::: |
Co-authored-by: Ailing <[email protected]>
lin-hitonami
pushed a commit
that referenced
this pull request
Jan 13, 2023
Issue: # ### Brief Summary Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Ailing <[email protected]>
quadpixels
pushed a commit
to quadpixels/taichi
that referenced
this pull request
May 13, 2023
Issue: # ### Brief Summary Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Ailing <[email protected]>
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.
Issue: #
Brief Summary