[doc] Add doc ndarray #7157
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[doc] Add doc ndarray #7157
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ailzhang
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Jan 13, 2023
ailzhang
reviewed
Jan 13, 2023
docs/lang/articles/basic/ndarray.md
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| :::Note | ||
| Every element in the external array (`arr_np` and `arr_torch`) is added by `1.0` when the Taichi kernel `add_one` finishes. | ||
| ::: | ||
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| :::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
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| :::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. | ||
| ::: |
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| :::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
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| :::TIPS | ||
| Only contiguous NumPy arrays and PyTorch tensors are supported. | ||
| ::: |
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| :::TIPS | |
| Only contiguous NumPy arrays and PyTorch tensors are supported. | |
| ::: | |
| :::tip | |
| Only contiguous NumPy arrays and PyTorch tensors are supported. | |
| ::: |
Co-authored-by: Ailing <ailzhang@users.noreply.github.com>
lin-hitonami
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Issue: # ### Brief Summary Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Ailing <ailzhang@users.noreply.github.com>
quadpixels
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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 <ailzhang@users.noreply.github.com>
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Brief Summary