Bump rocm-docs-core from 1.8.5 to 1.9.0 in /docs/sphinx

[dependabot]

Bumps rocm-docs-core from 1.8.5 to 1.9.0.

Release notes

Sourced from rocm-docs-core's releases.

v1.9.0 (2024-11-22)

Feat

• add generic theme flavor
• projects.yaml: add rocprof-sys, rocprof-comp, and rocJPEG

[main 008bbc0] bump: version 1.8.5 → 1.9.0 3 files changed, 11 insertions(+), 4 deletions(-)

Changelog

Sourced from rocm-docs-core's changelog.

v1.9.0 (2024-11-22)

Feat

• add generic theme flavor
• projects.yaml: add rocprof-sys, rocprof-comp, and rocJPEG

Commits

• 008bbc0 bump: version 1.8.5 → 1.9.0
• d17296a Merge branch 'develop'
• db84f2c Merge pull request #1029 from AMD-melliott/generic-theme-flavor
• 40383dd feat(projects.yaml): add rocprof-sys, rocprof-comp, and rocJPEG
• 0aee326 Merge pull request #1028 from ROCm/amd/alexxu12/retryLimit
• 426a584 feat: add generic theme flavor
• See full diff in compare view

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.18%. Comparing base (bd60066) to head (a211aba).
Report is 4 commits behind head on develop.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3656   +/-   ##
========================================
  Coverage    92.18%   92.18%           
========================================
  Files          513      513           
  Lines        21596    21596           
========================================
  Hits         19908    19908           
  Misses        1688     1688           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

[migraphx-bot]

Test	Batch	Rate new a211ab	Rate old bd6006	Diff	Compare
torchvision-resnet50	64	3,256.43	3,255.03	0.04%	✅
torchvision-resnet50_fp16	64	6,975.41	6,995.38	-0.29%	✅
torchvision-densenet121	32	2,434.09	2,434.81	-0.03%	✅
torchvision-densenet121_fp16	32	4,072.69	4,064.36	0.20%	✅
torchvision-inceptionv3	32	1,628.65	1,628.42	0.01%	✅
torchvision-inceptionv3_fp16	32	2,746.26	2,747.11	-0.03%	✅
cadene-inceptionv4	16	764.00	765.07	-0.14%	✅
cadene-resnext64x4	16	810.10	809.98	0.02%	✅
slim-mobilenet	64	7,463.77	7,462.14	0.02%	✅
slim-nasnetalarge	64	208.44	208.42	0.01%	✅
slim-resnet50v2	64	3,442.71	3,441.19	0.04%	✅
bert-mrpc-onnx	8	1,145.85	1,143.39	0.22%	✅
bert-mrpc-tf	1	463.83	468.19	-0.93%	✅
pytorch-examples-wlang-gru	1	455.63	414.07	10.04%	🔆
pytorch-examples-wlang-lstm	1	376.73	389.56	-3.29%	🔴
torchvision-resnet50_1	1	765.02	774.11	-1.17%	✅
cadene-dpn92_1	1	426.29	415.75	2.53%	✅
cadene-resnext101_1	1	384.83	383.64	0.31%	✅
onnx-taau-downsample	1	346.05	345.07	0.29%	✅
dlrm-criteoterabyte	1	33.33	33.35	-0.05%	✅
dlrm-criteoterabyte_fp16	1	52.73	52.74	-0.01%	✅
agentmodel	1	8,303.03	9,248.55	-10.22%	🔴
unet_fp16	2	58.87	58.82	0.09%	✅
resnet50v1_fp16	1	945.20	945.33	-0.01%	✅
resnet50v1_int8	1	1,007.33	1,023.31	-1.56%	✅
bert_base_cased_fp16	64	1,170.77	1,170.96	-0.02%	✅
bert_large_uncased_fp16	32	363.41	363.29	0.04%	✅
bert_large_fp16	1	200.33	198.28	1.03%	✅
distilgpt2_fp16	16	2,198.37	2,196.36	0.09%	✅
yolov5s	1	529.34	528.08	0.24%	✅
tinyllama	1	43.41	43.42	-0.03%	✅
vicuna-fastchat	1	175.08	174.92	0.09%	✅
whisper-tiny-encoder	1	417.39	417.89	-0.12%	✅
whisper-tiny-decoder	1	426.10	427.86	-0.41%	✅

This build is not recommended to merge 🔴

[migraphx-bot]

     ✅ bert-mrpc-onnx: PASSED: MIGraphX meets tolerance

     ✅ bert-mrpc-tf: PASSED: MIGraphX meets tolerance

     ✅ pytorch-examples-wlang-gru: PASSED: MIGraphX meets tolerance

     ✅ pytorch-examples-wlang-lstm: PASSED: MIGraphX meets tolerance

     ✅ torchvision-resnet50_1: PASSED: MIGraphX meets tolerance

     ✅ cadene-dpn92_1: PASSED: MIGraphX meets tolerance

     ✅ cadene-resnext101_1: PASSED: MIGraphX meets tolerance

     ✅ dlrm-criteoterabyte: PASSED: MIGraphX meets tolerance

     ✅ agentmodel: PASSED: MIGraphX meets tolerance

     ✅ unet: PASSED: MIGraphX meets tolerance

     ✅ resnet50v1: PASSED: MIGraphX meets tolerance

     ✅ bert_base_cased_fp16: PASSED: MIGraphX meets tolerance

🔴bert_large_uncased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output

     ✅ bert_large: PASSED: MIGraphX meets tolerance

     ✅ yolov5s: PASSED: MIGraphX meets tolerance

     ✅ tinyllama: PASSED: MIGraphX meets tolerance

     ✅ vicuna-fastchat: PASSED: MIGraphX meets tolerance

     ✅ whisper-tiny-encoder: PASSED: MIGraphX meets tolerance

     ✅ whisper-tiny-decoder: PASSED: MIGraphX meets tolerance

     ✅ distilgpt2_fp16: PASSED: MIGraphX meets tolerance