Weekly rocMLIR merge 5/24

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Test	Batch	New Rate (0dd185)	Old Rate (e0965d)*	Diff	Status
torchvision-resnet50	64	3,140.40	3,150.27	-0.31%	✅
torchvision-resnet50_fp16	64	6,644.40	6,680.37	-0.54%	✅
torchvision-densenet121	32	2,696.67	2,707.83	-0.41%	✅
torchvision-densenet121_fp16	32	4,526.42	4,558.29	-0.70%	✅
torchvision-inceptionv3	32	1,793.72	1,796.06	-0.13%	✅
torchvision-inceptionv3_fp16	32	2,825.98	2,816.36	0.34%	✅
cadene-inceptionv4	16	824.15	825.01	-0.10%	✅
cadene-resnext64x4	16	783.23	784.58	-0.17%	✅
slim-mobilenet	64	8,395.37	8,430.48	-0.42%	✅
slim-nasnetalarge	64	228.63	229.36	-0.31%	✅
slim-resnet50v2	64	3,314.29	3,329.00	-0.44%	✅
bert-mrpc-onnx	8	1,169.95	1,171.94	-0.17%	✅
bert-mrpc-tf	1	484.77	498.11	-2.68%	✅
pytorch-examples-wlang-gru	1	325.10	331.77	-2.01%	✅
pytorch-examples-wlang-lstm	1	466.77	443.27	5.30%	🔆
torchvision-resnet50_1	1	765.58	770.48	-0.64%	✅
cadene-dpn92_1	1	476.56	454.73	4.80%	✅
cadene-resnext101_1	1	363.61	358.09	1.54%	✅
onnx-taau-downsample	1	400.40	401.46	-0.27%	✅
dlrm-criteoterabyte	1	32.39	32.69	-0.92%	✅
dlrm-criteoterabyte_fp16	1	51.80	52.60	-1.53%	✅
agentmodel	1	10,045.02	8,378.02	19.90%	🔆
unet_fp16	2	56.90	57.27	-0.63%	✅
resnet50v1_fp16	1	969.77	969.16	0.06%	✅
resnet50v1_int8	1	959.93	924.62	3.82%	✅
bert_base_cased_fp16	64	1,097.65	1,103.12	-0.50%	✅
bert_large_uncased_fp16	32	346.30	347.56	-0.36%	✅
bert_large_fp16	1	204.75	204.23	0.25%	✅
distilgpt2_fp16	16	2,092.60	2,097.49	-0.23%	✅
yolov5s	1	564.62	567.52	-0.51%	✅
tinyllama	1	45.95	46.02	-0.15%	✅
vicuna-fastchat	1	44.14	43.98	0.38%	✅
whisper-tiny-encoder	1	416.77	419.39	-0.63%	✅
whisper-tiny-decoder	1	413.28	414.36	-0.26%	✅
llama2_7b	1	20.32	20.46	-0.66%	✅
qwen1.5-7b	1	23.58	23.62	-0.17%	✅
phi3-3.8b	1	26.76	26.88	-0.44%	✅
llama3-8b	1	21.74	21.81	-0.32%	✅
whisper-large-encoder	1	10.28	10.32	-0.31%	✅
whisper-large-decoder	1	106.19	106.44	-0.23%	✅
mistral-7b	1	23.77	23.82	-0.17%	✅
FLUX.1-schnell	1	763.41	794.62	-3.93%	✅

Check flagged results 🔆

* No develop baseline was found for this PR's branch point; compared against the latest available develop run instead.

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Test	Status	Result
bert-mrpc-onnx	✅	PASSED: MIGraphX meets tolerance
bert-mrpc-tf	❌	ERROR - check error output traceback Traceback (most recent call last): File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 377, in main() File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 313, in main import tensorflow as tf File "/usr/local/lib/python3.10/dist-packages/tensorflow/init.py", line 38, in from tensorflow.python.tools import module_util as _module_util File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/init.py", line 36, in from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 26, in self_check.preload_check() File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/platform/self_check.py", line 63, in preload_check from tensorflow.python.platform import _pywrap_cpu_feature_guard ImportError: libamdhip64.so.6: cannot open shared object file: No such file or directory
pytorch-examples-wlang-gru	✅	PASSED: MIGraphX meets tolerance
pytorch-examples-wlang-lstm	✅	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
llama2_7b	✅	PASSED: MIGraphX meets tolerance
qwen1.5-7b	✅	PASSED: MIGraphX meets tolerance
phi3-3.8b	✅	PASSED: MIGraphX meets tolerance
llama3-8b	✅	PASSED: MIGraphX meets tolerance
whisper-large-encoder	❌	ERROR - check error output traceback Traceback (most recent call last): File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 377, in main() File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 224, in main model = migraphx.parse_onnx(model_name, default_dim_value=batch) RuntimeError: /data/src/include/migraphx/op/convolution.hpp:102: normalize_compute_shape: CONVOLUTION: mismatched channel numbers
whisper-large-decoder	✅	PASSED: MIGraphX meets tolerance
mistral-7b	✅	PASSED: MIGraphX meets tolerance
FLUX.1-schnell	✅	PASSED: MIGraphX meets tolerance