ywkang
63669f82cb
- DPPolicy: 3-level (sip/cube/pe), unified naming (column_wise/row_wise) - PE_CPU: auto num_programs from cube shard count - context.launch(): per-SIP KernelLaunchMsg with local va_base + auto local shape - deploy_tensor: removed mmus param, MMU mapping is context-only responsibility - ComponentRegistry: YAML-based lazy loading (components.yaml), impls→builtin rename - VA offset bench + tests: 2D/1D, standard Triton kernel pattern Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
"""VA offset verification benchmark.
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Verifies that Triton-style base_ptr + pid * stride addressing works correctly
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with full TP sharding (sip/cube/pe all column_wise). Each PE loads its own
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block from a sharded tensor and stores it back.
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The kernel uses standard Triton patterns:
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- tl.program_id(0) for PE index within cube
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- tl.num_programs(0) for PE count within cube
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- Shape args are automatically localized by launch()
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"""
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from kernbench.policy.placement.dp import DPPolicy
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M, K = 128, 256
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DTYPE = "f16"
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def _copy_kernel(src_ptr, dst_ptr, M, K, tl, DTYPE="f16"):
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"""Standard Triton copy kernel. M and K are cube-local (set by launch)."""
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pid = tl.program_id(0)
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num_pe = tl.num_programs(0)
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cols_per_pe = K // num_pe
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elem_bytes = 2 # f16
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offset = pid * M * cols_per_pe * elem_bytes
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data = tl.load(src_ptr + offset, shape=(M, cols_per_pe), dtype=DTYPE)
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tl.store(dst_ptr + offset, data)
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def run(torch):
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"""Run the VA offset verification benchmark with full TP sharding."""
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dp = DPPolicy(sip="column_wise", cube="column_wise", pe="column_wise")
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src = torch.zeros((M, K), dtype=DTYPE, dp=dp, name="src")
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dst = torch.empty((M, K), dtype=DTYPE, dp=dp, name="dst")
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# launch() automatically converts M, K to cube-local values
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torch.launch("va_offset_copy", _copy_kernel, src, dst, M, K)
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# Sanity check: kernel completed with non-zero latency
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kernel_traces = [t for t in torch._traces if t["phase"] == "kernel"]
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assert len(kernel_traces) > 0, "No kernel traces recorded"
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for kt in kernel_traces:
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assert kt["total_ns"] > 0, f"Kernel latency is zero for {kt}"
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