tvm
https://github.com/apache/tvm
Python
Open deep learning compiler stack for cpu, gpu and specialized accelerators
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- Issues
- [feature][relax.frontend.torch] Missing coverage for STFT+RNN pipeline: 'rnn_tanh.input', 'real.default', 'imag.default', 'unfold.default', 'fft_fft.default' in from_exported_program
- [Bug] `from __future__ import annotations` breaks type annotation containing local variable
- [Bug] [relax][torch] from_exported_program segfault with exported MHA using eq(0)/expand mask + in-place masked_fill_ (get_attr lifting warning from PyTorch)
- [Bug] [RISC-V RVV] Performance Regression: sum operator slower on RVV than RV
- [Bug] [RISC-V RVV] Performance Degradation: ReLU activation slower with vector extension
- [Bug] [RISC-V RVV] Performance Issue: bias_add operator slower with vectorization
- [Bug] [RISC-V RVV] sqrt operator shows poor vectorization performance
- [Bug] [RISC-V RVV] floor operator performance regression
- [Bug] [RISC-V RVV] round operator shows suboptimal vectorization
- [Bug] [RISC-V RVV] avg_pool2d operator shows performance degradation
- Docs
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