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[Relax][PyTorch] Add support for decomposed operators and fix IR of ops tests(6) #18420

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Merged
mshr-h merged 2 commits into from
Nov 6, 2025
Merged

[Relax][PyTorch] Add support for decomposed operators and fix IR of ops tests(6) #18420

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tlopex Nov 5, 2025
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tlopex Nov 5, 2025
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14 changes: 14 additions & 0 deletions python/tvm/relax/frontend/torch/base_fx_graph_translator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1725,6 +1725,20 @@ def _squeeze(self, node: fx.Node) -> relax.Var:
# Support both "dim" and "dims" parameters
if dim is None:
dim = node.kwargs.get("dims", None)

# If dims is a list, filter out axes where dimension is not 1
# This is needed because PyTorch decomposition may pass all axes
if isinstance(dim, (list, tuple)) and len(dim) > 0:
shape = self.shape_of(x)
# Filter to only include axes where the dimension is 1
valid_dims = []
for d in dim:
axis = d if d >= 0 else len(shape) + d
if axis < len(shape) and shape[axis] == 1:
valid_dims.append(d)
# If no valid dims, use None to squeeze all size-1 dimensions
dim = valid_dims if valid_dims else None

return self.block_builder.emit(relax.op.squeeze(x, dim))

def _stack(self, node: fx.Node) -> relax.Var:
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20 changes: 16 additions & 4 deletions python/tvm/relax/frontend/torch/exported_program_translator.py
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Expand Up @@ -701,11 +701,23 @@ def _select(self, node: fx.Node) -> relax.Var:
return self.block_builder.emit(relax.op.take(x, index, dim))

def _slice(self, node: fx.Node) -> relax.Var:
import sys

@gemini-code-assist gemini-code-assist Bot Nov 5, 2025

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medium

For style consistency and to avoid potential repeated import overhead, import statements should be at the top of the file. Please move import sys to the module's top-level imports.


x = self.env[node.args[0]]
axes = [node.args[1]]
begin = [node.args[2]]
end = [node.args[3]]
stride = [node.args[4] if len(node.args) > 4 else 1]
dim = node.args[1] if len(node.args) > 1 else 0
start = node.args[2] if len(node.args) > 2 else None
end_val = node.args[3] if len(node.args) > 3 else None
step = node.args[4] if len(node.args) > 4 else 1

if start is None:
start = 0
if end_val is None:
end_val = sys.maxsize

axes = [dim]
begin = [start]
end = [end_val]
stride = [step]
return self.block_builder.emit(relax.op.strided_slice(x, axes, begin, end, stride))

def _unflatten(self, node: fx.Node) -> relax.Var:
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