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Libraries-Openly-Fused
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fkl_python
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PyTorch-style high-level API: Tensor / Image / ImageBatch + fluent fused pipelines
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#19:
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Compose-time buffer binding: argument-free fused kernels + DeviceBuffer.from_ptr
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Merge pull request #7 from johnnynunez/main
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flash_attention: prologue fusion, mma tensor cores, fp8 KV cache, flex attention + block sparsity
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flash_attention: prologue fusion, mma tensor cores, fp8 KV cache, flex attention + block sparsity
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flash_attention: prologue fusion, mma tensor cores, fp8 KV cache, flex attention + block sparsity
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flash_attention: prologue fusion, mma tensor cores, fp8 KV cache, flex attention + block sparsity
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Merge pull request #6 from johnnynunez/feat/flash-attention
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Merge pull request #4 from johnnynunez/ci/pypi-trusted-publishing
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fkl.flash_attention: FA-2 forward with fused epilogue + compressed int8 KV cache
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Plug-and-play wheels: vendored FKL headers + arch/CUDA auto-detection (pip install and go)
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CI: publish wheels to PyPI on version tags (Trusted Publishing, no secrets)
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Merge pull request #3 from johnnynunez/docs/threadfusion-optin
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Docs: make ThreadFusion's opt-in semantics explicit (matches FKL default, per Oscar's guidance)
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YOLO end-to-end example, CircularTensor hardening, CPU backend, ThreadFusion, multi-GPU routing
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Merge pull request #1 from johnnynunez/python-frontend
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