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Push on prism CodeQL #164: by khosravipasha
25m 52s prism
prism
25m 52s
metal: run every folded Hadamard width on the threadgroup FWHT kernel (+4-36% decode) Server #241: Pull request #161 synchronize by bri-prism
20m 38s perf/fwht-2048-wide-prism
perf/fwht-2048-wide-prism
20m 38s
metal: run every folded Hadamard width on the threadgroup FWHT kernel (+4-36% decode) Pull Request Labeler #253: Pull request #161 synchronize by bri-prism
21s
21s
PR #161 CodeQL #163: by bri-prism
10m 40s refs/pull/161/head
refs/pull/161/head
10m 40s
metal: TQ1_0 kernel performance (dense decode +39-55%, prefill +78-90%) Server #240: Pull request #156 synchronize by bri-prism
21m 3s perf/tq1_0-metal-flatten
perf/tq1_0-metal-flatten
21m 3s
metal: TQ1_0 kernel performance (dense decode +39-55%, prefill +78-90%) Pull Request Labeler #252: Pull request #156 synchronize by bri-prism
29s
29s
metal: run every folded Hadamard width on the threadgroup FWHT kernel (+4-36% decode) Server #239: Pull request #161 opened by bri-prism
19m 45s perf/fwht-2048-wide-prism
perf/fwht-2048-wide-prism
19m 45s
metal: run every folded Hadamard width on the threadgroup FWHT kernel (+4-36% decode) Pull Request Labeler #251: Pull request #161 opened by bri-prism
26s
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PR #161 CodeQL #162: by bri-prism
11m 24s refs/pull/161/head
refs/pull/161/head
11m 24s
cuda: native PTQ1_0 MMQ tile loader (closes the dequantize-to-cuBLAS prefill fallback) flake8 Lint #78: Pull request #160 opened by bri-prism
Queued perf/ptq1_0-cuda-mmq-prism
perf/ptq1_0-cuda-mmq-prism
Queued
cuda: native PTQ1_0 MMQ tile loader (closes the dequantize-to-cuBLAS prefill fallback) Python Type-Check #154: Pull request #160 opened by bri-prism
Queued perf/ptq1_0-cuda-mmq-prism
perf/ptq1_0-cuda-mmq-prism
Queued
cuda: native PTQ1_0 MMQ tile loader (closes the dequantize-to-cuBLAS prefill fallback) Server #238: Pull request #160 opened by bri-prism
20m 11s perf/ptq1_0-cuda-mmq-prism
perf/ptq1_0-cuda-mmq-prism
20m 11s
cuda: native PTQ1_0 MMQ tile loader (closes the dequantize-to-cuBLAS prefill fallback) Pull Request Labeler #250: Pull request #160 opened by bri-prism
27s
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PR #160 CodeQL #161: by bri-prism
11m 10s refs/pull/160/head
refs/pull/160/head
11m 10s
cuda: native PTQ1_0 MMQ tile loader and packed dequantize Python Type-Check #153: Commit d14a927 pushed by bri-prism
Queued perf/ptq1_0-cuda-mmq-prism
perf/ptq1_0-cuda-mmq-prism
Queued
metal: TQ1_0 kernel performance (dense decode +39-55%, prefill +78-90%) Server #237: Pull request #156 synchronize by bri-prism
20m 51s perf/tq1_0-metal-flatten
perf/tq1_0-metal-flatten
20m 51s
metal: TQ1_0 kernel performance (dense decode +39-55%, prefill +78-90%) Pull Request Labeler #249: Pull request #156 synchronize by bri-prism
25s
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Release (Prism) Release (Prism) #48: Manually run by khosravipasha
32m 43s prism
prism
32m 43s
Push on prism CodeQL #160: by khosravipasha
24m 18s prism
prism
24m 18s
Push on prism CodeQL #159: by khosravipasha
25m 0s prism
prism
25m 0s
metal: PQ2_0 and Q2_0 mat-vec dot in exact float (+5-7% decode) Pull Request Labeler #248: Pull request #159 opened by bri-prism
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PR #159 CodeQL #158: by bri-prism
11m 31s refs/pull/159/head
refs/pull/159/head
11m 31s
Running Copilot Code Review Copilot #74: by Copilot AI
4m 3s perf/ptq1_0-metal-prefill-prism
perf/ptq1_0-metal-prefill-prism
4m 3s
Release (Prism) Release (Prism) #47: Manually run by khosravipasha
27m 27s prism
prism
27m 27s
metal: PTQ1_0 mat-mul dequantize in exact float (+7% prefill) Pull Request Labeler #247: Pull request #158 opened by bri-prism
23s
23s