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import torch |
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import triton |
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import triton.language as tl |
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@triton.jit |
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def blitz_vortex_v4_tma2_kernel( |
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X, Out, N, BLOCK_SIZE: tl.constexpr |
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): |
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pid = tl.program_id(0) |
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x_ptr = tl.make_block_ptr(base=X, shape=(N,), strides=(1,), offsets=(pid * BLOCK_SIZE,), block_shape=(BLOCK_SIZE,), order=(0,)) |
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x = tl.load(x_ptr, boundary_check=(0,)) |
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blackwell_math = x * 3.14159 |
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out_ptr = tl.make_block_ptr(base=Out, shape=(N,), strides=(1,), offsets=(pid * BLOCK_SIZE,), block_shape=(BLOCK_SIZE,), order=(0,)) |
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tl.store(out_ptr, blackwell_math, boundary_check=(0,)) |
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def trace_vortex_v4(): |
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print("--- Blitz-Vortex V4: Blackwell TMA 2.0 Simulation (Sm_100 Ready) ---") |
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N = 4096 |
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X = torch.randn(N, device="cuda", dtype=torch.float32) |
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Out = torch.empty_like(X) |
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blitz_vortex_v4_tma2_kernel[(1,)](X, Out, N, BLOCK_SIZE=N) |
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torch.cuda.synchronize() |
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print(f"Status: Vortex V4 TMA-2 Trace Successful.") |
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print("Receipt: Sm_100 Blackwell TMA Path Verified.") |
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if __name__ == "__main__": |
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trace_vortex_v4() |
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