Add gfx906 target to Jenkins

[causten]

Adding the gfx906 target

[codecov]

Codecov Report

Merging #2269 (1e75ea8) into develop (f3939b9) will not change coverage.
The diff coverage is n/a.

❗ Current head 1e75ea8 differs from pull request most recent head a2aa5f8. Consider uploading reports for the commit a2aa5f8 to get more accurate results

@@           Coverage Diff            @@
##           develop    #2269   +/-   ##
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  Coverage    91.49%   91.49%           
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  Files          430      430           
  Lines        16129    16129           
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  Hits         14758    14758           
  Misses        1371     1371           

[migraphx-bot]

Test	Batch	Rate new a2aa5f	Rate old f3939b	Diff	Compare
torchvision-resnet50	64	2,327.21	2,326.02	0.05%	✅
torchvision-resnet50_fp16	64	5,366.20	5,358.11	0.15%	✅
torchvision-densenet121	32	1,845.93	1,848.23	-0.12%	✅
torchvision-densenet121_fp16	32	3,412.54	3,420.57	-0.23%	✅
torchvision-inceptionv3	32	1,297.45	1,295.65	0.14%	✅
torchvision-inceptionv3_fp16	32	2,538.15	2,538.01	0.01%	✅
cadene-inceptionv4	16	620.82	620.06	0.12%	✅
cadene-resnext64x4	16	588.73	589.68	-0.16%	✅
slim-mobilenet	64	7,205.56	7,220.02	-0.20%	✅
slim-nasnetalarge	64	236.49	236.64	-0.06%	✅
slim-resnet50v2	64	2,556.97	2,556.96	0.00%	✅
bert-mrpc-onnx	8	825.65	824.91	0.09%	✅
bert-mrpc-tf	1	388.84	389.45	-0.16%	✅
pytorch-examples-wlang-gru	1	296.39	294.32	0.70%	✅
pytorch-examples-wlang-lstm	1	313.22	314.41	-0.38%	✅
torchvision-resnet50_1	1	550.80	549.59	0.22%	✅
torchvision-inceptionv3_1	1	300.90	303.23	-0.77%	✅
cadene-dpn92_1	1	351.49	356.62	-1.44%	✅
cadene-resnext101_1	1	218.43	220.18	-0.79%	✅
slim-vgg16_1	1	224.20	224.38	-0.08%	✅
slim-mobilenet_1	1	1,509.11	1,514.28	-0.34%	✅
slim-inceptionv4_1	1	210.06	219.17	-4.15%	🔴
onnx-taau-downsample	1	306.73	306.29	0.15%	✅
dlrm-criteoterabyte	1	21.70	21.70	0.01%	✅
dlrm-criteoterabyte_fp16	1	40.75	40.75	0.00%	✅
agentmodel	1	5,802.18	5,861.32	-1.01%	✅
unet_fp16	2	55.17	55.21	-0.07%	✅
resnet50v1_fp16	1	755.72	768.13	-1.61%	✅
bert_base_cased_fp16	64	971.37	971.58	-0.02%	✅
bert_large_uncased_fp16	32	305.37	305.22	0.05%	✅
bert_large_fp16	1	167.44	166.81	0.37%	✅
distilgpt2_fp16	16	1,352.77	1,353.09	-0.02%	✅

This build is not recommended to merge 🔴

[migraphx-bot]

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

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

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

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

    :white_check_mark:torchvision-resnet50_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:torchvision-inceptionv3_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:cadene-dpn92_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:cadene-resnext101_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:slim-vgg16_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:slim-mobilenet_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:slim-inceptionv4_1: PASSED: MIGraphX meets tolerance

    :white_check_mark:dlrm-criteoterabyte: PASSED: MIGraphX meets tolerance

    :white_check_mark:agentmodel: PASSED: MIGraphX meets tolerance

    :white_check_mark:unet: PASSED: MIGraphX meets tolerance

    :white_check_mark:resnet50v1: PASSED: MIGraphX meets tolerance

🔴bert_base_cased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output

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

    :white_check_mark:bert_large: PASSED: MIGraphX meets tolerance

🔴distilgpt2_fp16: FAILED: MIGraphX is not within tolerance - check verbose output