Enable test_qlinearconv_cpu onnx backend test

[gyulaz-htec]

QLinearConv was added in #2225, but the related onnx backend test (test_qlinearconv_cpu) was not enabled.
Fixes: migraphx-benchmark#114

[migraphx-bot]

Test	Batch	Rate new 8c7379	Rate old 225873	Diff	Compare
torchvision-resnet50	64	2,830.13	2,829.18	0.03%	✅
torchvision-resnet50_fp16	64	6,495.36	6,499.27	-0.06%	✅
torchvision-densenet121	32	2,075.56	2,098.86	-1.11%	✅
torchvision-densenet121_fp16	32	3,674.84	3,663.93	0.30%	✅
torchvision-inceptionv3	32	1,580.26	1,585.30	-0.32%	✅
torchvision-inceptionv3_fp16	32	2,568.01	2,570.22	-0.09%	✅
cadene-inceptionv4	16	702.74	703.00	-0.04%	✅
cadene-resnext64x4	16	691.73	692.19	-0.07%	✅
slim-mobilenet	64	8,326.02	8,333.06	-0.08%	✅
slim-nasnetalarge	64	225.52	225.49	0.01%	✅
slim-resnet50v2	64	2,665.11	2,664.66	0.02%	✅
bert-mrpc-onnx	8	823.49	822.01	0.18%	✅
bert-mrpc-tf	1	388.89	388.70	0.05%	✅
pytorch-examples-wlang-gru	1	303.07	303.71	-0.21%	✅
pytorch-examples-wlang-lstm	1	316.27	320.29	-1.26%	✅
torchvision-resnet50_1	1	599.67	605.77	-1.01%	✅
torchvision-inceptionv3_1	1	340.69	341.44	-0.22%	✅
cadene-dpn92_1	1	401.44	399.88	0.39%	✅
cadene-resnext101_1	1	328.01	328.75	-0.23%	✅
slim-vgg16_1	1	459.59	460.49	-0.19%	✅
slim-mobilenet_1	1	2,099.61	2,127.55	-1.31%	✅
slim-inceptionv4_1	1	217.74	220.20	-1.12%	✅
onnx-taau-downsample	1	303.52	303.83	-0.10%	✅
dlrm-criteoterabyte	1	21.61	21.61	0.00%	✅
dlrm-criteoterabyte_fp16	1	40.64	40.62	0.04%	✅
agentmodel	1	nan	nan	nan%	❌
unet_fp16	2	54.76	54.72	0.07%	✅
resnet50v1_fp16	1	971.47	954.24	1.80%	✅
bert_base_cased_fp16	64	903.07	903.07	0.00%	✅
bert_large_uncased_fp16	32	285.55	285.54	0.00%	✅
bert_large_fp16	1	167.14	166.50	0.39%	✅
distilgpt2_fp16	16	1,281.37	1,282.05	-0.05%	✅

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

❌agentmodel: ERROR - check error output

Traceback (most recent call last):
File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 336, in
main()
File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 254, in main
pred_migx = np.array(model.run(params)[-1])
RuntimeError: /src/AMDMIGraphX/src/targets/gpu/device/include/migraphx/gpu/device/visit.hpp:140: hip_visit_views_impl: Ranks must be the same

    :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