tvm
https://github.com/apache/tvm
Python
Open deep learning compiler stack for cpu, gpu and specialized accelerators
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- Issues
- [Fix][Relax] Preserve Torch integral power semantics
- [Fix][Relax][ONNX] Fold binary ops on symbolic PrimExpr scalars without numpy dispatch
- [RFC] Expanding ONNX operator coverage in the Relax frontend
- [PageKVCache] Add support of sinks params and fix sliding windnow
- [Bug][Relax][ONNX] BinaryBase.base_impl calls .item() on a TIR PrimExpr
- [Bug] CUDA Check failed: block_realize == old_block_realize_.get() (0x88a32c0 vs. 0x88cd340)
- [Fix][Codegen] Preserve NaNs in floating-point min and max
- [Bug] [ONNX Frontend] SparseConvolution and ScatterDense operators unsupported during import
- [Bug] `relax.build` crashes with an `AttributeError` during the dlight GPU scheduling pass
- [Bug] build CXX standard conflicts: tvm-ffi expects cxx_std_17 while tvm now upgraded to 20
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- Python not yet supported