rowwise_scaled_linear_sparse: shape-based tile/cluster/schedule selection#4476
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…tion Summary: fine-tuning cutlass fp8 2:4 sparsity kernel. we want to squeeze the performance to better achieve the goal. here we fine-tuning the clusterShape<Mc, Nc, Kc> and tiling strategy with TileShape<M, N, K> to find best performance M, N, K, Mc, Nc, Kc for a specific input matmul shape Differential Revision: D108350834
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/4476
Note: Links to docs will display an error until the docs builds have been completed. ❌ 3 New Failures, 2 Unrelated FailuresAs of commit 8bab339 with merge base 9467cd8 ( NEW FAILURES - The following jobs have failed:
FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following job failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Summary:
fine-tuning cutlass fp8 2:4 sparsity kernel. we want to squeeze the performance to better achieve the goal.
here we fine-tuning the clusterShape<Mc, Nc, Kc> and tiling strategy with TileShape<M, N, K> to find best performance M, N, K, Mc, Nc, Kc for a specific input matmul shape
Differential Revision: D108350834