Insert contiguous on mlir inputs that are not packed or broadcasted

[pfultz2]

No description provided.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 91.76%. Comparing base (2bdd02d) to head (58000cf).
Report is 1 commits behind head on develop.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #3039      +/-   ##
===========================================
- Coverage    91.76%   91.76%   -0.01%     
===========================================
  Files          485      485              
  Lines        18774    18775       +1     
===========================================
  Hits         17228    17228              
- Misses        1546     1547       +1     

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[migraphx-bot]

Test	Batch	Rate new 58000c	Rate old e32966	Diff	Compare
torchvision-resnet50	64	2,788.14	2,815.58	-0.97%	✅
torchvision-resnet50_fp16	64	6,196.57	6,398.98	-3.16%	🔴
torchvision-densenet121	32	2,085.63	2,103.88	-0.87%	✅
torchvision-densenet121_fp16	32	3,612.96	3,692.26	-2.15%	✅
torchvision-inceptionv3	32	1,597.76	1,603.69	-0.37%	✅
torchvision-inceptionv3_fp16	32	2,558.12	2,548.50	0.38%	✅
cadene-inceptionv4	16	715.73	716.87	-0.16%	✅
cadene-resnext64x4	16	677.87	680.42	-0.37%	✅
slim-mobilenet	64	5,811.74	5,946.96	-2.27%	✅
slim-nasnetalarge	64	154.33	154.01	0.21%	✅
slim-resnet50v2	64	2,576.81	2,587.09	-0.40%	✅
bert-mrpc-onnx	8	968.78	920.88	5.20%	🔆
bert-mrpc-tf	1	399.61	397.60	0.51%	✅
pytorch-examples-wlang-gru	1	397.01	395.98	0.26%	✅
pytorch-examples-wlang-lstm	1	367.14	370.77	-0.98%	✅
torchvision-resnet50_1	1	601.45	609.31	-1.29%	✅
cadene-dpn92_1	1	384.33	392.49	-2.08%	✅
cadene-resnext101_1	1	323.22	331.97	-2.64%	✅
onnx-taau-downsample	1	307.05	306.30	0.25%	✅
dlrm-criteoterabyte	1	28.48	28.86	-1.32%	✅
dlrm-criteoterabyte_fp16	1	47.19	48.00	-1.69%	✅
agentmodel	1	7,315.98	7,356.89	-0.56%	✅
unet_fp16	2	57.48	57.55	-0.12%	✅
resnet50v1_fp16	1	898.32	896.07	0.25%	✅
resnet50v1_int8	1	786.86	793.93	-0.89%	✅
bert_base_cased_fp16	64	1,022.10	1,033.68	-1.12%	✅
bert_large_uncased_fp16	32	298.90	300.33	-0.48%	✅
bert_large_fp16	1	156.28	160.05	-2.36%	✅
distilgpt2_fp16	16	1,832.79	1,856.85	-1.30%	✅
yolov5s	1	468.05	472.11	-0.86%	✅
tinyllama	1	32.99	32.95	0.14%	✅
vicuna-fastchat	1	159.68	158.60	0.68%	✅
whisper-tiny-encoder	1	352.82	353.26	-0.12%	✅
whisper-tiny-decoder	1	401.44	396.71	1.19%	✅

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