Eliminate concat changes to insert copies for nonpacked axes

[kahmed10]

Currently, we only eliminate concat if the axis = 0 or the axis > 0 but the data is packed (i.e., all dims up to axis = 1). This PR changes it so that copies are inserted.

[migraphx-bot]

Test	Batch	Rate new d995fe	Rate old 070c2e	Diff	Compare
torchvision-resnet50	64	2,824.56	2,826.14	-0.06%	✅
torchvision-resnet50_fp16	64	6,558.41	6,576.83	-0.28%	✅
torchvision-densenet121	32	2,094.51	2,090.60	0.19%	✅
torchvision-densenet121_fp16	32	3,696.12	3,686.13	0.27%	✅
torchvision-inceptionv3	32	1,604.19	1,605.47	-0.08%	✅
torchvision-inceptionv3_fp16	32	2,555.28	2,555.50	-0.01%	✅
cadene-inceptionv4	16	716.78	717.75	-0.14%	✅
cadene-resnext64x4	16	680.82	680.72	0.01%	✅
slim-mobilenet	64	5,865.53	5,908.97	-0.74%	✅
slim-nasnetalarge	64	153.59	153.88	-0.19%	✅
slim-resnet50v2	64	2,589.69	2,586.75	0.11%	✅
bert-mrpc-onnx	8	919.95	960.21	-4.19%	🔴
bert-mrpc-tf	1	438.58	401.32	9.28%	🔆
pytorch-examples-wlang-gru	1	419.92	415.54	1.05%	✅
pytorch-examples-wlang-lstm	1	381.86	384.72	-0.74%	✅
torchvision-resnet50_1	1	603.45	604.26	-0.13%	✅
cadene-dpn92_1	1	392.45	394.64	-0.55%	✅
cadene-resnext101_1	1	333.10	326.95	1.88%	✅
onnx-taau-downsample	1	306.39	307.13	-0.24%	✅
dlrm-criteoterabyte	1	28.80	28.79	0.02%	✅
dlrm-criteoterabyte_fp16	1	48.46	48.21	0.53%	✅
agentmodel	1	7,423.52	7,621.72	-2.60%	✅
unet_fp16	2	57.70	57.79	-0.17%	✅
resnet50v1_fp16	1	884.00	895.00	-1.23%	✅
resnet50v1_int8	1	828.81	826.04	0.34%	✅
bert_base_cased_fp16	64	1,053.37	1,053.69	-0.03%	✅
bert_large_uncased_fp16	32	300.75	301.61	-0.28%	✅
bert_large_fp16	1	159.07	158.93	0.09%	✅
distilgpt2_fp16	16	1,858.36	1,857.93	0.02%	✅
yolov5s	1	466.78	474.32	-1.59%	✅
tinyllama	1	33.01	32.96	0.16%	✅
vicuna-fastchat	1	158.58	157.50	0.68%	✅
whisper-tiny-encoder	1	348.21	347.91	0.09%	✅
whisper-tiny-decoder	1	401.73	396.59	1.30%	✅

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

[codecov]

Codecov Report

Attention: Patch coverage is 94.73684% with 2 lines in your changes are missing coverage. Please review.

Project coverage is 91.85%. Comparing base (c3c0980) to head (ba8e9a4).
Report is 1 commits behind head on develop.

Files	Patch %	Lines
src/eliminate_concat.cpp	94.11%	2 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #2969   +/-   ##
========================================
  Coverage    91.85%   91.85%           
========================================
  Files          483      483           
  Lines        18580    18602   +22     
========================================
+ Hits         17066    17087   +21     
- Misses        1514     1515    +1     

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