Adds Intel AMX TMUL hardware acceleration for FlashAttention using INT8

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Adds Intel AMX TMUL hardware acceleration for FlashAttention using INT8
quantization:

• Implements TileFlashAttentionAMX_Int8_Impl (TileFlashAttentionAMX_Int8_ImplT)
  on top of Highway's AMX-INT8 Tile64BMatMul wrappers (ComputeQKPinQ256AMX_Int8,
  ComputeQKTileAMX_Int8, SoftmaxAndQuantizeAMX_Int8, ComputePVGroupAMX_Int8,
  AccumulatePVTileInt8). The da/db signedness tags select TDPBSSD
  (int8 x int8) for Q*K^T and TDPBUSD (uint8 x int8) for P*V; tile
  config is compiler-managed via __tile1024i, and runtime detection uses
  hwy::HaveTile64BMatMulI8() (gated by GEMMA_HAVE_AMX_INT8).
• Specializes qkv_dim == 256 (ComputeQKPinQ256AMX_Int8) by pinning a 16-query
  half-block of Q across tmm4..tmm7 (4 x 64 bytes) and streaming four
  32-token K tiles through tmm2..tmm3, cutting Q tile loads by 4x and
  making post-tilestored dequantization contiguous.
• Vectorizes online softmax and 4-row VNNI packing (SoftmaxAndQuantizeAMX_Int8)
  with AVX-512 shuffle/permute intrinsics, and groups up to 4 query blocks
  (128 queries) per 128-token KV macro-step (ComputePVGroupAMX_Int8) with
  channel-outer / query-inner loop ordering to keep K, V, and P_vnni slices
  in the 48 KB L1D cache and the KV step slice in the 2 MB L2 cache.
• Integrates AttentionImpl::kFlashAMXInt8 with quantized KV cache and query
  compression.
• Adds INT8 AMX FlashAttention unit tests in flash_attention_test.cc and
  benchmarks in google_attention_benchmark_test.cc.
• Fixes a SIGILL on real AMX hardware in the BF16 kernel as well: the QK/PV
  helpers called Tile64BRelease(), but once inlined into the kernel loop the
  compiler does not reload the tile config after it, so the next iteration's
  tile ops raised #UD. Release now happens once after the loop.
• Bumps the external Highway pin (MODULE.bazel, CMake) to
  353597727402dfc7b28e5b1474766e366ceafd24, which adds the AMX-INT8 wrappers.