Add ONNX-MLIR dialect support #40
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kartikeyporwal
changed the title
diegofiori
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May 5, 2022
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@kartikeyporwal 🥇🚀 thanks for the amazing contribution ⭐! However, there are a few things to change before merging the code to master (See specific comments in the code section). BTW, we're working on a huge release for next week, so I won't merge this PR before it. |
… install_onnx_mlir function
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@morgoth95 Thanks for suggesting the changes. I've made the necessary changes. Please feel free to review the changes again. Thanks |
* add half precision and transformations logic * fix bugs * add support to gpu * add support to gpu * fix minor bug in gpu code * fix minor bug in gpu code * refactor quantization * add dataset interface * fix bug * fix bugs with dataset api * fix bug * update test * solve minor issues * fix error in cuda * fix error with tensorRT * fix bug in tvm and change name of quantization_ths * add resources * Modify readme (nebuly-ai#48) * Create section - integration with other libraries * update readme (work-in-progress) * Minor Readme update * rename notebook * update notebook * rename notebook * Rename notebook * Rename notebook * Rename notebook * Rename notebook * Rename notebook * update version to 0.3.0 * Update readme with latest release information * Benchmarks * Update readme * Update readme with benchmarks * Update readme, minor changes * solve api issue with tf * fix typos in benchmarks Co-authored-by: morgoth95 <[email protected]> Co-authored-by: Emile Courthoud <[email protected]> Co-authored-by: Nebuly <[email protected]>
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Hi team, Could please help me knowing where does we stand in merging this PR in Thanks CC: @morgoth95 |
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This PR adds the ONNX-MLIR support in the nebullvm based on #31.
Few notable points:
PyRuntimeis built usingpybind11needs to be in the path