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Improves aten_chunk conversion #2434

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Merged
merged 4 commits into from
Jul 30, 2025
Merged

Improves aten_chunk conversion #2434

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96e2e31
Improves aten_chunk conversion
xadupre Jul 3, 2025
0f82e17
Merge branch 'main' of https://github.com/microsoft/onnxscript into s…
xadupre Jul 22, 2025
e7f21f7
removes g.op
xadupre Jul 22, 2025
ae1a0d6
remove
xadupre Jul 22, 2025
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25 changes: 4 additions & 21 deletions onnxscript/function_libs/torch_lib/ops/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1647,29 +1647,12 @@ def aten_choose_qparams_optimized(
raise NotImplementedError()


@torch_op("aten::chunk")
@torch_op("aten::chunk", trace_only=True)
def aten_chunk(self: TTensor, chunks: int, dim: int = 0) -> Sequence[TTensor]:
"""chunk(Tensor(a -> *) self, int chunks, int dim=0) -> Tensor(a)[]"""
# This will create a Sequence of tensors
neg_1 = op.Constant(value_ints=[-1])
# Get size of specified dim
self_shape = op.Shape(self)
dim_size = op.Gather(self_shape, dim, axis=0)
# Compute size/chunk to get the number of data in one chunk
num_per_chunk = op.Div(dim_size, chunks)
num_per_chunk = op.Cast(op.Mod(dim_size, chunks) > 0, to=INT64.dtype) + num_per_chunk # type: ignore[operator]

# Compute real chunk number
num_chunk = op.Div(dim_size, num_per_chunk)
# Get something like [n, n, n, n, ...], total num_chunk
list_split = op.Expand(num_per_chunk, op.Reshape(num_chunk, neg_1))

remainder = op.Mod(dim_size, num_per_chunk)
if remainder > 0: # type: ignore[operator]
# Append the remainder to the [n, n, n, n, ..., r]
list_split = op.Concat(list_split, op.Reshape(remainder, neg_1), axis=0)

return op.SplitToSequence(self, list_split, axis=dim)
if chunks == 1:
return op.Identity(self)
return op.Split(self, axis=dim, num_outputs=chunks)


@torch_op("aten::clamp", trace_only=True)
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