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[JAX] Remove duplicate score-mod test run
Documentation
#20491:
Pull request
#3524
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KshitijLakhani
1m 20s
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[JAX] Align fused attention backward output gradient sharding
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Remove the view() calls from Linear/LNLinear/LNMLP modules
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Remove the view() calls from Linear/LNLinear/LNMLP modules
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MOE Sequential Block with Dispatch and Combine as Basic Ops
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MOE Sequential Block with Dispatch and Combine as Basic Ops
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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MOE Sequential Block with Dispatch and Combine as Basic Ops
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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#20479:
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kainzhong:cutedsl_mxfp8_common
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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Accept compact MXFP8 scales in GEMM preparation
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[JAX] Support single-process-multi-device EP via XLA-borrowed communicator
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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Fix THD P2P pad detection and tail-zero gating
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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Fix THD P2P pad detection and tail-zero gating
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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#20470:
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1m 56s
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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#20469:
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1m 53s
kainzhong:cutedsl_mxfp8_common
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[PyTorch] GDN2 support and linear attention refactor
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#20468:
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#3521
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ksivaman
1m 32s
ksivaman:gdn2_attention
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[Common] Experimental CuTeDSL MXFP8 backends in C++ via TVM-FFI
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#20467:
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#3137
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2m 14s
kainzhong:cutedsl_mxfp8_common
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