Add FLUX e2e example

[shivadbhavsar]

No description provided.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.17%. Comparing base (952a257) to head (fb2086b).
Report is 1 commits behind head on develop.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop    #3619   +/-   ##
========================================
  Coverage    92.17%   92.17%           
========================================
  Files          513      513           
  Lines        21583    21584    +1     
========================================
+ Hits         19894    19895    +1     
  Misses        1689     1689           

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

---

🚨 Try these New Features:

• Flaky Tests Detection - Detect and resolve failed and flaky tests

[kahmed10]

Can we add a reference image to this PR? Using the same prompt in the README

[kahmed10]

Can we add some instructions on setting up a python virtual environment?

[migraphx-bot]

Test	Batch	Rate new fb2086	Rate old 0f36aa	Diff	Compare
torchvision-resnet50	64	3,255.22	3,261.99	-0.21%	✅
torchvision-resnet50_fp16	64	6,994.20	6,984.41	0.14%	✅
torchvision-densenet121	32	2,434.53	2,434.46	0.00%	✅
torchvision-densenet121_fp16	32	4,067.68	4,068.77	-0.03%	✅
torchvision-inceptionv3	32	1,629.44	1,630.14	-0.04%	✅
torchvision-inceptionv3_fp16	32	2,745.56	2,746.22	-0.02%	✅
cadene-inceptionv4	16	765.51	765.59	-0.01%	✅
cadene-resnext64x4	16	810.85	809.78	0.13%	✅
slim-mobilenet	64	7,467.09	7,474.57	-0.10%	✅
slim-nasnetalarge	64	208.52	208.58	-0.03%	✅
slim-resnet50v2	64	3,440.60	3,441.49	-0.03%	✅
bert-mrpc-onnx	8	1,148.56	1,150.80	-0.19%	✅
bert-mrpc-tf	1	463.84	465.54	-0.37%	✅
pytorch-examples-wlang-gru	1	423.77	420.06	0.88%	✅
pytorch-examples-wlang-lstm	1	482.78	381.98	26.39%	🔆
torchvision-resnet50_1	1	801.36	750.44	6.79%	🔆
cadene-dpn92_1	1	399.50	398.35	0.29%	✅
cadene-resnext101_1	1	383.29	382.96	0.09%	✅
onnx-taau-downsample	1	345.95	346.08	-0.04%	✅
dlrm-criteoterabyte	1	33.34	33.35	-0.03%	✅
dlrm-criteoterabyte_fp16	1	52.72	52.68	0.07%	✅
agentmodel	1	10,173.73	8,091.53	25.73%	🔆
unet_fp16	2	58.88	58.77	0.18%	✅
resnet50v1_fp16	1	943.56	943.16	0.04%	✅
resnet50v1_int8	1	1,018.66	1,012.12	0.65%	✅
bert_base_cased_fp16	64	1,170.84	1,169.97	0.07%	✅
bert_large_uncased_fp16	32	363.78	363.75	0.01%	✅
bert_large_fp16	1	200.63	199.03	0.81%	✅
distilgpt2_fp16	16	2,202.68	2,201.98	0.03%	✅
yolov5s	1	529.66	539.79	-1.88%	✅
tinyllama	1	43.36	43.42	-0.14%	✅
vicuna-fastchat	1	171.63	175.75	-2.34%	✅
whisper-tiny-encoder	1	418.15	418.02	0.03%	✅
whisper-tiny-decoder	1	422.93	428.37	-1.27%	✅

Check results before 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