53 lines
2.2 KiB
Python
53 lines
2.2 KiB
Python
"""D1: Test raw unnormalized PV output (epilogue_tma_store without normalize)."""
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import torch, math
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import cutlass.cute as cute
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import cutlass.torch as ct
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import cuda.bindings.driver as cuda
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from dsv4.kernels.attention.fmha import FmhaKernel
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for hd in [64, 128, 256]:
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torch.manual_seed(42)
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n = 128; m = 128
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q = torch.randn(m, hd, 1, dtype=torch.bfloat16, device='cuda')
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k = torch.randn(n, hd, 1, dtype=torch.bfloat16, device='cuda')
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v = torch.randn(n, hd, dtype=torch.bfloat16, device='cuda')
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c = torch.zeros(m, hd, 1, dtype=torch.bfloat16, device='cuda')
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# Reference: unnormalized PV = (softmax(QK^T) * scale) @ V (without sum normalization)
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qf = q[:,:,0].float(); kf = k[:,:,0].float()
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scale = 1.0 / math.sqrt(hd)
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attn = qf @ kf.T * scale
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attn_unnorm = torch.exp(attn - attn.max(dim=-1, keepdim=True).values) # unnormalized softmax
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ref_unnorm = attn_unnorm @ v.float()
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# Also compute properly normalized for comparison
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attn_norm = torch.softmax(attn, dim=-1)
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ref_norm = attn_norm @ v.float()
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v_kernel = v.unsqueeze(-1)
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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_kernel).mark_layout_dynamic(leading_dim=ct.get_leading_dim(v_kernel))
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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 = FmhaKernel(head_dim=hd, s_k=n)
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print(f'hd={hd}: Compiling...', flush=True)
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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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# Check against unnormalized reference
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cos_unnorm = torch.nn.functional.cosine_similarity(
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out.flatten().unsqueeze(0), ref_unnorm.flatten().unsqueeze(0)
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).item()
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# Check against normalized reference (should be lower due to missing normalize)
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cos_norm = torch.nn.functional.cosine_similarity(
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out.flatten().unsqueeze(0), ref_norm.flatten().unsqueeze(0)
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).item()
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print(f'hd={hd}: cos_unnorm={cos_unnorm:.6f} cos_norm={cos_norm:.6f}')
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