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### Description - Fix quantization tool bug that did not correctly set a quantized bias's scale data type to fp16 if the original bias was fp16. - Enabled fp16 ConvTranspose quantization unit tests that were disabled. ### Motivation and Context Python quantization tests for fp16 ConvTranspose were originally disabled due to a shape inference bug. It turns out that we also have a bug in our quantizer that does not properly handle fp16 bias inputs. Fixing the bug allows us to re-enable these tests with the latest version of ONNX. |
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| .. | ||
| common | ||
| contrib_ops | ||
| cuda_host | ||
| custom_op_registration | ||
| debug_node_inputs_outputs | ||
| 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 | ||