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SWDEV-536360 - fix bullet points in reduce sync operations section not being displayed on different lines in the browser (#1346)

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Gerardo Hernandez
2025-10-14 22:02:34 +01:00
committed by GitHub
orang tua dde482d224
melakukan bfbc48bb0e
1 mengubah file dengan 7 tambahan dan 5 penghapusan
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projects/hip/docs/how-to/hip_cpp_language_extensions.rst
+7 -5
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@@ -998,8 +998,9 @@ Arithmetic reduces:
T __reduce_max_sync (unsigned long long mask, T var);
``T`` can be:
- On Nvidia platform: ``int`` or ``unsigned int``
- On AMD platform: ``int`` or ``unsigned int``; if the user defines the macro ``HIP_ENABLE_EXTRA_WARP_SYNC_TYPES``, then: ``unsigned long long``, ``long long``, ``half``/``single``/``double`` precision floating
* On Nvidia platform: ``int`` or ``unsigned int``
* On AMD platform: ``int`` or ``unsigned int``; if the user defines the macro ``HIP_ENABLE_EXTRA_WARP_SYNC_TYPES``, then: ``unsigned long long``, ``long long``, ``half``/``single``/``double`` precision floating
point types are also be supported.
Returns the aggregated result of the arithmetic operation, where each of the participating threads
@@ -1017,8 +1018,9 @@ Logical reduces:
T __reduce_xor_sync (unsigned long long mask, T var);
``T`` can be:
- On Nvidia platform: ``unsigned int``
- On AMD platform: ``unsigned int``, and if the user defines the macro ``HIP_ENABLE_EXTRA_WARP_SYNC_TYPES``, then ``int``, ``unsigned long long`` or ``long long`` are also supported
* On Nvidia platform: ``unsigned int``
* On AMD platform: ``unsigned int``, and if the user defines the macro ``HIP_ENABLE_EXTRA_WARP_SYNC_TYPES``, then ``int``, ``unsigned long long`` or ``long long`` are also supported
Returns the result of the aggregated logical AND/OR/XOR operation where each of the participating threads
(i.e. the ones mentioned on the mask) contribute ``var``.
@@ -1032,7 +1034,7 @@ Informational note: On the AMD platform, **masks that start from lane zero and h
exhibit better performance** than masks with "holes" (example of mask with no holes: 0xFF and with holes: 0xFB;
the reduction with 0xFF is faster).
These functiones do not provide a memory barrier on any platform.
These functions do not provide a memory barrier on any platform.
Warp matrix functions
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