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Eval: Add independent device and EP for ONNX references (#1324)
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#46:
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feat(export): support static batch size (#1315)
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Report memory metadata in winml sys JSON (#1312)
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Add weight sharing and support for AMD (Vitis AI) (#1305)
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Key EPContext cache by compile identity (#1295)
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Align GenAI perf metrics schema (#1307)
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feat: Add native Hugging Face PyTorch eval runtime (#1282)
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feat(perf): standardize cache controls (#1271)
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feat(analyze): use pattern rules for runtime support check (#1218)
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WinML CLI v0.3.0
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feat(eval): add model cache controls (#1270)
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Consolidate development dependencies (#1255)
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Auto-compile raw ONNX models for QNN detail tracing (#1252)
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Hide noisy CLI warnings by default (#1246)
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Fix QNN E2E evaluation failures (#1247)
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feat(optimize/analyze): preview applicable optimizations and check th…
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Fix QNN detail tracing and compile EP options (#1249)
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Add two-ONNX comparison to winml eval --mode compare (#1139)
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feat: Add --input-data to winml eval --mode compare (#1221)
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feat: Add export override options to winml eval command (#1141)
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feat: EP registration + monitoring — subprocess isolation, structured…
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Point report fetch at main/site and stamp winml-cli version (#1203)
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Disable Dynamo by default for export (#1188)
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Add dynamo export support and make it the default exporter (#1156)
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feat(config): add dynamic export controls to config command (#1106)
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