BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//PyTorch - ECPv6.16.5.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://pytorch.org
X-WR-CALDESC:Events for PyTorch
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20270314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20271107T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260722T110000
DTEND;TZID=America/Los_Angeles:20260722T120000
DTSTAMP:20260708T004034Z
CREATED:20260708T003820Z
LAST-MODIFIED:20260708T004034Z
UID:10000196-1784718000-1784721600@pytorch.org
SUMMARY:PyTorch 2.13 Release Live Q&A
DESCRIPTION:PyTorch 2.13 introduces updates across attention\, compilation\, distributed training\, memory efficiency\, Python support\, and accelerator platforms. Highlights include FlexAttention support on Apple Silicon with up to approximately 12x speedup over SDPA on sparse patterns\, the CuTeDSL “Native DSL” backend for key GPU operations\, and nn.LinearCrossEntropyLoss to reduce peak GPU memory by up to 4x during large-vocabulary language model training. \nOn Wednesday\, July 22\, 2026\, at 11 a.m. PT\, PyTorch maintainers and contributors will provide a brief overview of the PyTorch 2.13 release and answer questions from the community live. \nTopics will include: \n\nFlexAttention support on Apple Silicon and deterministic backward computation on CUDA\nThe CuTeDSL “Native DSL” backend for Inductor\nnn.LinearCrossEntropyLoss for reducing peak GPU memory\ntorchcomms for large-cluster training\nFSDP2 communication overlap improvements\nTorch wheel support for Python 3.15 on Linux\, including free-threaded 3.15t builds\nExpanded ROCm\, Arm\, and Intel XPU platform support\n\nThe live Q&A will feature expert panelists Alban Desmaison\, Andrey Talman\, and Piotr Bialecki\, with Chris Gottbrath moderating. \nPyTorch 2.13 includes 3\,328 commits from 526 contributors since PyTorch 2.12. \nRegister for the live Q&A:
URL:https://pytorch.org/event/pytorch-2-13-release-live-qa/
CATEGORIES:PyTorch-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2026/07/2.13.png
END:VEVENT
END:VCALENDAR