Implement QuantSwiGLUFwdChannelCastTransposeOp and flip its manifest status
to implemented: fused SwiGLU forward (silu(gate)*value) + per-token-block
FP8 e4m3 cast with optional transpose, returning a packed FP8 output plus an
fp32 per-block scaling-factor tensor.
Faithful port of swiglu_forward_and_per_channel_cast_and_transpose from
MetaX-MACA/TileKernels-Metax @ 0266ab7 (tile_kernels/quant/). The kernel
tiles tokens x hidden, stages the activation in shared memory, reduces the
per-block absmax (packed-bf16 in the non-transpose path, fp32 fragment in
the transpose path), and emits the quantized output.
- kernel: tileops/kernels/quant_swiglu_channel_cast_transpose.py
- op: tileops/ops/quant_swiglu_channel_cast_transpose.py
- workload, correctness tests, manifest-driven baseline benchmark
- manifest: status spec-only -> implemented, source.kernel_map added
Baseline (MetaX C500, 50% compute slice): 4.7-9.4x faster than the torch
reference; 0.24-0.36 TB/s achieved on roofline bytes (kernel is not yet
bandwidth-saturated). See logs/2026-08-03_baseline_notes.md.
Co-Authored-By: Claude <noreply@anthropic.com>
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