[AIMIGRAPHX-1003] Add warnings for dim and value not set

[eddieliao]

Motivation

Warn the user when input dimensions or input values are not set, with the goal to improve usability.

Technical Details

Batch size is excluded from the warnings as it is common in most models and the default value of 1 typically works.

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.

[Copilot]

Pull request overview

Adds user-facing warnings to improve usability when ONNX model inputs have unresolved symbolic dimensions or when the driver runs with inputs that were not explicitly provided.

Changes:

• Emit a warning during ONNX parsing when symbolic dimension parameters are unbound (excluding “batch” dims).
• Emit a warning in the driver when program inputs are not explicitly set via fill/load options.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.

File	Description
src/onnx/onnx_parser.cpp	Adds a pre-parse warning for unbound symbolic dimension parameters in graph inputs.
src/driver/main.cpp	Adds a warning when running with inputs that are not explicitly populated (fill/load).

[codecov]

Codecov Report

❌ Patch coverage is 94.73684% with 1 line in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
src/api/api.cpp	50.00%	1 Missing ⚠️

Additional details and impacted files

@@             Coverage Diff             @@
##           develop    #4850      +/-   ##
===========================================
- Coverage    92.66%   92.61%   -0.05%     
===========================================
  Files          588      587       -1     
  Lines        30412    30410       -2     
===========================================
- Hits         28180    28164      -16     
- Misses        2232     2246      +14     

Files with missing lines	Coverage Δ
src/onnx/include/migraphx/onnx/onnx_parser.hpp	100.00% <ø> (ø)
src/onnx/onnx.cpp	100.00% <100.00%> (ø)
src/onnx/onnx_parser.cpp	89.03% <100.00%> (+0.46%)	⬆️
src/api/api.cpp	73.89% <50.00%> (+0.65%)	⬆️

... and 11 files with indirect coverage changes

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

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

Test	Batch	New Rate (6f99dd)	Old Rate (f729a5)	Diff	Status
torchvision-resnet50	64	2,974.48	3,145.50	-5.44%	🔴
torchvision-resnet50_fp16	64	6,626.77	6,669.99	-0.65%	✅
torchvision-densenet121	32	2,542.99	2,706.20	-6.03%	🔴
torchvision-densenet121_fp16	32	4,328.38	4,554.02	-4.95%	✅
torchvision-inceptionv3	32	1,468.46	1,796.81	-18.27%	🔴
torchvision-inceptionv3_fp16	32	2,788.43	2,815.36	-0.96%	✅
cadene-inceptionv4	16	802.86	824.78	-2.66%	✅
cadene-resnext64x4	16	752.36	783.76	-4.01%	✅
slim-mobilenet	64	8,177.33	8,408.45	-2.75%	✅
slim-nasnetalarge	64	120.54	223.78	-46.14%	🔴
slim-resnet50v2	64	3,200.94	3,327.91	-3.82%	✅
bert-mrpc-onnx	8	1,127.10	1,174.63	-4.05%	✅
bert-mrpc-tf	1	487.56	487.45	0.02%	✅
pytorch-examples-wlang-gru	1	331.94	378.64	-12.33%	🔴
pytorch-examples-wlang-lstm	1	453.11	471.93	-3.99%	✅
torchvision-resnet50_1	1	682.22	766.08	-10.95%	🔴
cadene-dpn92_1	1	416.90	449.79	-7.31%	🔴
cadene-resnext101_1	1	299.30	362.89	-17.52%	🔴
onnx-taau-downsample	1	390.20	400.27	-2.51%	✅
dlrm-criteoterabyte	1	27.95	32.43	-13.81%	🔴
dlrm-criteoterabyte_fp16	1	50.38	52.71	-4.43%	✅
agentmodel	1	8,678.97	10,074.48	-13.85%	🔴
unet_fp16	2	56.03	57.26	-2.14%	✅
resnet50v1_fp16	1	956.21	1,016.42	-5.92%	🔴
resnet50v1_int8	1	951.08	935.58	1.66%	✅
bert_base_cased_fp16	64	1,086.73	1,103.79	-1.55%	✅
bert_large_uncased_fp16	32	343.11	346.75	-1.05%	✅
bert_large_fp16	1	206.15	122.23	68.66%	🔆
distilgpt2_fp16	16	2,054.95	1,865.39	10.16%	🔆
yolov5s	1	574.94	568.47	1.14%	✅
tinyllama	1	45.93	45.85	0.19%	✅
vicuna-fastchat	1	42.59	43.98	-3.17%	✅
whisper-tiny-encoder	1	407.37	420.64	-3.15%	✅
whisper-tiny-decoder	1	398.43	417.54	-4.57%	✅
llama2_7b	1	18.98	20.47	-7.27%	🔴
qwen1.5-7b	1	23.57	23.42	0.66%	✅
phi3-3.8b	1	26.86	26.76	0.39%	✅
llama3-8b	1	14.88	21.70	-31.43%	🔴
whisper-large-encoder	1	8.17	10.31	-20.79%	🔴
whisper-large-decoder	1	106.56	104.95	1.54%	✅
mistral-7b	1	18.63	nan	nan	❌
FLUX.1-schnell	1	565.25	746.98	-24.33%	🔴

Regressions detected 🔴

[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
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 2026-06-02 19:21:42.705290 [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: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

[ahsan-ca]

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