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cuda: block-per-row FWHT for widths 512 and up (+17% / +11% decode on folded bands) Pull Request Labeler #258: Pull request #166 opened by bri-prism
35s
35s
cuda: block-per-row FWHT for widths 512 and up (+17% / +11% decode on folded bands) Server #246: Pull request #166 opened by bri-prism
20m 24s perf/cuda-fwht-block
perf/cuda-fwht-block
20m 24s
PR #166 CodeQL #172: by bri-prism
11m 16s refs/pull/166/head
refs/pull/166/head
11m 16s
graph: six fusions for the hybrid-attention decode graph (-25% ops/token; Metal 2B +7.7%, 27B +2.6% decode; CUDA 9B +2.5%) Pull Request Labeler #257: Pull request #165 opened by bri-prism
24s
24s
graph: six fusions for the hybrid-attention decode graph (-25% ops/token; Metal 2B +7.7%, 27B +2.6% decode; CUDA 9B +2.5%) Server #245: Pull request #165 opened by bri-prism
19m 43s perf/metal-fwht-signed
perf/metal-fwht-signed
19m 43s
PR #165 CodeQL #171: by bri-prism
21m 57s refs/pull/165/head
refs/pull/165/head
21m 57s
cuda: run the PTQ1_0 MMQ path at every batch (fixes PTQ1_0 CUDA certification), env var to cap it Pull Request Labeler #256: Pull request #164 opened by bri-prism
58s
58s
cuda: run the PTQ1_0 MMQ path at every batch (fixes PTQ1_0 CUDA certification), env var to cap it Server #244: Pull request #164 opened by bri-prism
20m 30s perf/ptq1_0-mmq-cap
perf/ptq1_0-mmq-cap
20m 30s
PR #164 CodeQL #170: by bri-prism
11m 24s refs/pull/164/head
refs/pull/164/head
11m 24s
Push on prism CodeQL #169: by bri-prism
25m 26s prism
prism
25m 26s
cuda: native PTQ1_0 MMQ tile loader and packed dequantize (#160) Python Type-Check #155: Commit 9294043 pushed by bri-prism
Queued prism
prism
Queued
Push on prism CodeQL #168: by khosravipasha
18m 1s prism
prism
18m 1s
Running Copilot Code Review Copilot #75: by Copilot AI
6m 26s perf/ptq1_0-cuda-mmq-prism
perf/ptq1_0-cuda-mmq-prism
6m 26s
cuda: query the device type with cudaDeviceGetAttribute, not cudaGetDeviceProperties (+8% decode) Server #243: Pull request #163 opened by bri-prism
20m 29s fix/cuda-dev-type-attr
fix/cuda-dev-type-attr
20m 29s
cuda: query the device type with cudaDeviceGetAttribute, not cudaGetDeviceProperties (+8% decode) Pull Request Labeler #255: Pull request #163 opened by bri-prism
29s
29s
PR #163 CodeQL #167: by bri-prism
11m 13s refs/pull/163/head
refs/pull/163/head
11m 13s
Push on prism CodeQL #166: by bri-prism
24m 53s prism
prism
24m 53s
metal: fix the PTQ1_0 CPY crash and add the missing PTQ1_0 dequant-copy kernels Pull Request Labeler #254: Pull request #162 opened by bri-prism
27s
27s
metal: fix the PTQ1_0 CPY crash and add the missing PTQ1_0 dequant-copy kernels Server #242: Pull request #162 opened by bri-prism
19m 7s fix/metal-cpy-ptq1_0-gate
fix/metal-cpy-ptq1_0-gate
19m 7s
PR #162 CodeQL #165: by bri-prism
10m 56s refs/pull/162/head
refs/pull/162/head
10m 56s
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