mirror of
https://github.com/saymrwulf/onnxruntime.git
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514b4699b4
### Description - Adds a dummy bias of all zeros when translating a Conv without an explicit bias input. This is a workaround for a QNN validation issue that fails when the optional bias input is not provided. - Corrects logic for unpacking of **non-zero int4** zero-points. Bug does not impact models because we currently only support int4 zero-points equal to 0 (symmetric quant). But this would become an issue in the future if/when QNN supports non-zero int4 zero-points (so good to fix now). ### Motivation and Context Support Conv operators without a bias input on QNN EP with the latest QNN SDK. |
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| .. | ||
| common | ||
| contrib_ops | ||
| cuda_host | ||
| custom_op_registration | ||
| debug_node_inputs_outputs | ||
| flatbuffers | ||
| framework | ||
| fuzzing | ||
| global_thread_pools | ||
| ir | ||
| logging_apis | ||
| mlas | ||
| onnx | ||
| opaque_api | ||
| optimizer | ||
| perftest | ||
| platform | ||
| proto | ||
| providers | ||
| python | ||
| quantization | ||
| shared_lib | ||
| testdata | ||
| unittest_main | ||
| util | ||
| wasm | ||
| win_getopt | ||
| xctest | ||
| run_benchmark.py | ||
| run_benchmark.readme.md | ||