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Increase number of cores used to calculate upsample for YOLO and Stable diffusion #16351
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…ded tensor inputs. Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
ToDo: commonize code. Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
…trictions-input_width Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
…trictions-input_width
Suggested-by: Pavle Josipović <pavlejosipovic@users.noreply.github.com> Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
…trictions-input_width
Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
…n-remove-restrictions-input_width' into nkpatel/upsample_perf_improve
…e diffusion and yolo. Signed-off-by: Nilaykumar Patel <nkpatel@tenstorrent.com>
nkpatel-tt
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Upsample increase number of cores for YOLO and Stable diffusion
Increase number of cores used to calculate upsample for YOLO and Stable diffusion
Dec 30, 2024
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Ticket
Link to Github Issue
Problem description
Currently, Upsample processes one row per core, which can impact the performance.
What's changed
Instead single row per core granularity, make it work for minimum possible shard size for each core.
Checklist