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diag: add baseline test (s_k=256 D3 mask, no sink bias) to isolate D5c issue

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biondizzle
2026-05-26 15:08:40 +00:00
parent 016edbcc97
commit e5381b7312
1 changed files with 31 additions and 0 deletions
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tests/unit/test_d5c_fused.py
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@@ -298,5 +298,36 @@ def test_d5c_with_causal():
if __name__ == '__main__':
# First: baseline test without sink bias (just multi-tile D3 masking)
print('=== Baseline: multi-tile attention with D3 mask (no D5c) ===\n')
_hd = 64; _m = 128; _s_k = 256; _swa_len = 192 # 192 valid, 64 masked
_scale = 1.0 / math.sqrt(_hd)
torch.manual_seed(42)
_q = torch.randn(_m, _hd, 1, dtype=torch.bfloat16, device='cuda')
_k = torch.randn(_s_k, _hd, 1, dtype=torch.bfloat16, device='cuda')
_v = torch.randn(_s_k, _hd, dtype=torch.bfloat16, device='cuda')
# Reference
_qf = _q[:, :, 0].float(); _kf = _k[:, :, 0].float(); _vf = _v.float()
_scores = _qf @ _kf.T * _scale
_scores[:, _swa_len:] = float('-inf')
_ref = (torch.softmax(_scores, dim=-1) @ _vf).to(torch.bfloat16)
# Kernel
_stream = cuda.CUstream(torch.cuda.current_stream().cuda_stream)
_kernel = FmhaKernel(head_dim=_hd, s_k=_s_k, normalize=False, apply_swa_mask=True, is_causal=False, n_comp=0)
_c_out = torch.zeros(_m, _hd, 1, dtype=torch.bfloat16, device='cuda')
_lse = torch.zeros(_m, 1, 1, dtype=torch.float32, device='cuda')
_rs = torch.zeros(_m, 1, 1, dtype=torch.float32, device='cuda')
def _tc(t): return ct.from_dlpack(t).mark_layout_dynamic(leading_dim=ct.get_leading_dim(t))
_mQ = _tc(_q); _mK = _tc(_k); _mV = _tc(_v.unsqueeze(-1).contiguous())
_mC = _tc(_c_out); _mLSE = _tc(_lse); _mRS = _tc(_rs)
_compiled = cute.compile(_kernel, _mQ, _mK, _mV, _mC, _stream, _mLSE, swa_len=_swa_len, row_sums=_mRS)
_compiled(_mQ, _mK, _mV, _mC, _stream, _mLSE, swa_len=_swa_len, row_sums=_mRS)
torch.cuda.synchronize()
_o_k = _c_out[:, :, 0].float() / _rs[:, 0, 0].float().unsqueeze(1).clamp(min=1e-30)
_cos = torch.nn.functional.cosine_similarity(_o_k.flatten().unsqueeze(0), _ref.flatten().unsqueeze(0).float()).item()
print(f'Baseline (s_k=256, D3 mask, n_comp=0): cos {_cos:.6f} {"PASS" if _cos > 0.99 else "FAIL"}\n')
test_d5c_combined()
test_d5c_with_causal()