Update CHANGELOG.md (#543)
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* [SYMM](/test/unit/gemm/device/symm_f32n_f32n_tensor_op_fast_f32_ls_sm80.cu) with [emitter](/tools/library/scripts/symm_operation.py)
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* [TRMM](/test/unit/gemm/device/trmm_f32n_f32t_f32t_tensor_op_fast_f32_ls_sm80.cu) with [emitter](/tools/library/scripts/trmm_operation.py)
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* [Unit tests](/test/unit/gemm/device/testbed_rank_k_universal.h)
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* [CUTLASS Python](/example/40_cutlass_py) demonstrating JIT compilation of CUTLASS kernels and a Python-based runtime using [CUDA Python](https://developer.nvidia.com/cuda-python)
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* [CUTLASS Python](/examples/40_cutlass_py) demonstrating JIT compilation of CUTLASS kernels and a Python-based runtime using [CUDA Python](https://developer.nvidia.com/cuda-python)
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* [Python-based runtime](/tools/library/scripts/rt.py) interoperable with existing emitters
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* [GEMM + Softmax example](/examples/35_gemm_softmax)
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* [Gather and Scatter Fusion with GEMM](/examples/36_gather_scatter_fusion) can gather inputs and scatters outputs based on indices vectors in the same GEMM kernel.
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