[AMDGPU] Drop dynamic M bounds checks for pingpong #20738
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Kernel specialization is needed to apply strategies selectively at runtime. Additionally model exports don't specify lower bounds so it is impossible to use this strategy with this check. Only the check for the typically dynamic dimension is dropped as the other checks are non-blocking and can help mitigate regressions for smaller shapes with default tuning enabled.
bjacob
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May 6, 2025
KyleHerndon
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May 7, 2025
Kernel specialization is needed to apply strategies selectively at runtime. Additionally model exports don't specify lower bounds so it is impossible to use this strategy with this check. Only the check for the typically dynamic dimension is dropped as the other checks are non-blocking and can help mitigate regressions for smaller shapes with default tuning enabled.
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Kernel specialization is needed to apply strategies selectively at runtime. Additionally model exports don't specify lower bounds so it is impossible to use this strategy with this check.
Only the check for the typically dynamic dimension is dropped as the other checks are non-blocking and can help mitigate regressions for smaller shapes with default tuning enabled.