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[cuda] int4: stabilize two-layer decode test via CUDA-seeded init #20196

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Merged
Gasoonjia merged 1 commit into from
Jun 10, 2026
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[cuda] int4: stabilize two-layer decode test via CUDA-seeded init #20196

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5 changes: 4 additions & 1 deletion backends/cuda/tests/test_int4_dispatch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,10 @@ def _make_int4_linear(N, K, group_size=128, symmetric=False, bias=False):
)
int4_w = quantize_weight(w_bf16, config)

module = nn.Linear(K, N, bias=bias, dtype=torch.bfloat16)
# device="cuda" so the random init draws from the CUDA RNG to match the
# same random weight as regular int4 dispatch and fit the same numerical
# error tolerance.
module = nn.Linear(K, N, bias=bias, dtype=torch.bfloat16, device="cuda")
pack_linear_for_cuda(module, {"weight": int4_w})
module.cuda()
return module, w_bf16.cuda()
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