Leaky relu using max

[pfultz2]

Motivation

Technical Details

Changelog Category

Add a CHANGELOG.md entry for any option other than Not Applicable

• • Added: New functionality.
• • Changed: Changes to existing functionality.
• • Removed: Functionality or support that has been removed. (Compared to a previous release)
• • Optimized: Component performance that has been optimized or improved.
• • Resolved Issues: Known issues from a previous version that have been resolved.
• • Not Applicable: This PR is not to be included in the changelog.

[gh-app-migraphx-bot-pr-write]

Test	Batch	New Rate (303bb2)	Old Rate (ea9f87)*	Diff	Status
torchvision-resnet50	64	nan	1,346.54	nan	❌
torchvision-resnet50_fp16	64	nan	2,175.85	nan	❌
torchvision-densenet121	32	nan	2,420.59	nan	❌
torchvision-densenet121_fp16	32	nan	4,551.90	nan	❌
torchvision-inceptionv3	32	nan	1,779.07	nan	❌
torchvision-inceptionv3_fp16	32	nan	2,775.99	nan	❌
cadene-inceptionv4	16	nan	781.51	nan	❌
cadene-resnext64x4	16	nan	783.59	nan	❌
slim-mobilenet	64	nan	8,420.32	nan	❌
slim-nasnetalarge	64	nan	181.62	nan	❌
slim-resnet50v2	64	nan	3,323.64	nan	❌
bert-mrpc-onnx	8	nan	1,167.48	nan	❌
bert-mrpc-tf	1	nan	483.55	nan	❌
pytorch-examples-wlang-gru	1	nan	321.02	nan	❌
pytorch-examples-wlang-lstm	1	nan	456.50	nan	❌
torchvision-resnet50_1	1	nan	769.63	nan	❌
cadene-dpn92_1	1	nan	476.68	nan	❌
cadene-resnext101_1	1	nan	364.02	nan	❌
onnx-taau-downsample	1	nan	210.07	nan	❌
dlrm-criteoterabyte	1	nan	32.68	nan	❌
dlrm-criteoterabyte_fp16	1	nan	43.07	nan	❌
agentmodel	1	nan	8,526.53	nan	❌
unet_fp16	2	nan	10.42	nan	❌
resnet50v1_fp16	1	nan	950.65	nan	❌
resnet50v1_int8	1	nan	931.80	nan	❌
bert_base_cased_fp16	64	nan	1,098.72	nan	❌
bert_large_uncased_fp16	32	nan	258.28	nan	❌
bert_large_fp16	1	nan	204.11	nan	❌
distilgpt2_fp16	16	nan	2,093.83	nan	❌
yolov5s	1	nan	570.47	nan	❌
tinyllama	1	nan	46.00	nan	❌
vicuna-fastchat	1	nan	44.14	nan	❌
whisper-tiny-encoder	1	nan	420.02	nan	❌
whisper-tiny-decoder	1	nan	415.37	nan	❌
llama2_7b	1	nan	20.45	nan	❌
qwen1.5-7b	1	nan	23.68	nan	❌
phi3-3.8b	1	nan	26.84	nan	❌
llama3-8b	1	nan	21.80	nan	❌
whisper-large-encoder	1	nan	10.31	nan	❌
whisper-large-decoder	1	nan	102.32	nan	❌
mistral-7b	1	nan	23.86	nan	❌
FLUX.1-schnell	1	nan	751.03	nan	❌

Regressions detected 🔴

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

[gh-app-migraphx-bot-pr-write]

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	🔴	FAILED: MIGraphX is not within tolerance - check verbose output
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 2026-06-22 22:17:57.999331 [WARN] [/data/src/onnx/onnx_parser.cpp:282] Model has unbound symbolic dimension(s): batch_size, encoder_sequence_length, feature_size. These default to 1 and may cause unexpected behavior. Try setting --dim-param @<name> <value> or --input-dim @<input> <dims> if program compilation fails. 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:113: normalize_compute_shape: CONVOLUTION: mismatched channel numbers: input channels (1) != weights channels (80) * group (1)
whisper-large-decoder	✅	PASSED: MIGraphX meets tolerance
mistral-7b	✅	PASSED: MIGraphX meets tolerance
FLUX.1-schnell	✅	PASSED: MIGraphX meets tolerance