32 lines
1.7 KiB
Python
32 lines
1.7 KiB
Python
"""Test n=384 pipeline cycling"""
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import torch, math, cutlass, cutlass.cute as cute, cutlass.torch as ct, cuda.bindings.driver as cuda
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from cutlass import Float32, BFloat16, Int32
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from test_fmha_v3_stage_c import FmhaV3StageCMulti
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n = 384; HEAD_DIM = 64
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torch.manual_seed(42)
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q = torch.randn(128, HEAD_DIM, 1, dtype=torch.bfloat16, device='cuda')
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k = torch.randn(n, HEAD_DIM, 1, dtype=torch.bfloat16, device='cuda')
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v = torch.randn(n, HEAD_DIM, dtype=torch.bfloat16, device='cuda')
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c = torch.zeros(128, HEAD_DIM, 1, dtype=torch.bfloat16, device='cuda')
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qf = q[:,:,0].float(); kf = k[:,:,0].float()
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ref = torch.softmax(qf @ kf.T * (1.0/math.sqrt(HEAD_DIM)), dim=-1) @ v.float()
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mQ = ct.from_dlpack(q).mark_layout_dynamic(leading_dim=ct.get_leading_dim(q))
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mK = ct.from_dlpack(k).mark_layout_dynamic(leading_dim=ct.get_leading_dim(k))
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mV = ct.from_dlpack(v.unsqueeze(-1)).mark_layout_dynamic(leading_dim=ct.get_leading_dim(v.unsqueeze(-1)))
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mC = ct.from_dlpack(c).mark_layout_dynamic(leading_dim=ct.get_leading_dim(c))
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stream = cuda.CUstream(torch.cuda.current_stream().cuda_stream)
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kernel = FmhaV3StageCMulti(s_k=n)
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print(f'n={n}: Compiling...', flush=True)
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try:
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compiled = cute.compile(kernel, mQ, mK, mV, mC, stream)
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compiled(mQ, mK, mV, mC, stream)
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torch.cuda.synchronize()
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out = c[:,:,0].float()
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cos = torch.nn.functional.cosine_similarity(out.flatten().unsqueeze(0), ref.flatten().unsqueeze(0)).item()
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print(f'n={n} (3 tiles): cos {cos:.6f} {"PASS" if cos >= 0.99 else "FAIL"}')
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if cos < 0.99 and cos > 0.5:
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print(f' ratio: {(out[0,:4]/ref[0,:4]).mean().item():.4f}')
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except Exception as e:
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print(f'n={n}: ERROR: {type(e).__name__}: {str(e)[:300]}')
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