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658f0719 - Add tests for refactored QKV fusion API in AttentionMixin/AttentionModuleMixin

Add tests for refactored QKV fusion API in AttentionMixin/AttentionModuleMixin Tests are in tests/models/test_attention_mixins.py and cover the four minimal concrete AttentionModuleMixin fixtures (_MinimalSelfAttn, _MinimalCrossAttn, _MinimalAddedKVAttn, _MinimalAddedQKVAttn): TestAttentionModuleMixin (53 tests): - Idempotency of fuse_projections/unfuse_projections - Module attribute invariants for non-inplace and inplace paths - Weight/bias correctness: fused weight equals concatenation of split weights - Inplace round-trip weight preservation and storage-sharing (no copy on unfuse) - Cross-attention to_kv path, added-KV to_added_kv path (Wan-style), and added-QKV to_added_qkv path (Flux-style) - get_qkv and get_added_qkv numerical correctness in split and fused cases - LoRA guard: fuse_projections/unfuse_projections raise ValueError when PEFT-style lora_A/lora_B submodules are detected on split or fused projections TestAttentionMixin (6 tests): - fuse_qkv_projections/unfuse_qkv_projections propagate to all eligible blocks - restore_checkpoint_fusion_state respects _native_fused_projections=None/True/False per block, including mixed-state models Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>