tvm
https://github.com/apache/tvm
Python
Open deep learning compiler stack for cpu, gpu and specialized accelerators
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- Issues
- [Bug][Relax][Frontend][ONNX] Softmax ignores opset<=12 coerce-to-2D semantics and defaults `axis` to -1 instead of 1, silently producing wrong output for valid models
- [Bug][Relax] Default LLVM pipeline can leave high-level Relax ops after FoldConstant resolves dynamic reshape shape
- [Bug][Relax] Default LLVM pipeline crashes in FoldConstant when reshape target is a runtime Shape
- [Bug][Relax] FuseTIR crashes when FuseOps creates a private function named fused for nested tuple getitem[Bug]
- [Bug][Relax] FuseOps can reorder call_tir before symbolic shape binding used in out_ty
- [Bug][Relax][LLVM] scatter_elements with symbolic H/W extents times out during build[Bug]
- [Bug][Relax] CombineParallelMatmul crashes on 1-D matmul boundary cases
- [Bug][Relax] Matmul rewrite passes drop explicit out_dtype and change float32 outputs to float16
- [Bug] [Relax][ONNX] Runtime-shape Reshape import passes TensorType to relax.op.reshape
- [Bug] [Relax] Static-shape Size/Slice/Reshape hits an uncomputed shape slot
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