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[aoti-cuda] Directly pass user input placeholders to torch._inductor.aot_compile #14707

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Merged
merged 1 commit into from
Oct 1, 2025
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[aoti-cuda] Directly pass user input placeholders to torch._inductor.aot_compile #14707

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14 changes: 1 addition & 13 deletions backends/cuda/cuda_backend.py
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Original file line number Diff line number Diff line change
Expand Up @@ -117,18 +117,6 @@ def preprocess(
if node.op == "placeholder" and node.name in user_input_names:
user_input_placeholders.append(node.meta["val"])

# Create pseudo user inputs using torch.randn and metadata from input placeholders
faked_user_inputs = []
for placeholder in user_input_placeholders:
if isinstance(placeholder, torch.Tensor):
# Generate fake input with same shape and dtype, on CUDA
fake_input = torch.randn(
placeholder.shape, dtype=placeholder.dtype, device="cuda"
)
faked_user_inputs.append(fake_input)

faked_user_inputs = tuple(faked_user_inputs)

options: dict[str, typing.Any] = {
# Embed CUDA kernel binaries directly into the compiled shared object
"aot_inductor.embed_kernel_binary": True,
Expand All @@ -145,7 +133,7 @@ def preprocess(
}

with collect_unsupported_fallback_kernels():
so_path = torch._inductor.aot_compile(edge_program_module, faked_user_inputs, options=options) # type: ignore[arg-type]
so_path = torch._inductor.aot_compile(edge_program_module, tuple(user_input_placeholders), options=options) # type: ignore[arg-type]
if len(missing_fallback_kernels) > 0:
formatted_kernels = "\n - ".join(sorted(missing_fallback_kernels))
raise RuntimeError(
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