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[Refactor] Update type references from tir to tirx in PyTorch ExportedProgram frontend #18920

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Merged
guan404ming merged 1 commit into from
Mar 20, 2026
Merged

[Refactor] Update type references from tir to tirx in PyTorch ExportedProgram frontend #18920

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8 changes: 4 additions & 4 deletions python/tvm/relax/frontend/torch/exported_program_translator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,7 @@
from torch import fx

import tvm
from tvm import relax, tir
from tvm import relax

from .base_fx_graph_translator import BaseFXGraphImporter

Expand Down Expand Up @@ -968,11 +968,11 @@ def _slice(self, node: fx.Node) -> relax.Var:
# tensor's own dimension size (common with dynamic shapes).
if isinstance(start, int) and start == 0 and isinstance(step, int) and step == 1:
in_shape = self.shape_of(x)
if in_shape is not None and isinstance(end_val, tir.PrimExpr):
if in_shape is not None and isinstance(end_val, tvm.tirx.PrimExpr):
actual_dim = dim if dim >= 0 else len(in_shape) + dim
dim_expr = in_shape[actual_dim]
if isinstance(dim_expr, tir.PrimExpr):
if tir.analysis.expr_deep_equal(end_val, dim_expr):
if isinstance(dim_expr, tvm.tirx.PrimExpr):
if tvm.tirx.analysis.expr_deep_equal(end_val, dim_expr):
return x

axes = [dim]
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2 changes: 1 addition & 1 deletion tests/python/relax/test_transform_legalize_ops_index_linear_algebra.py
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Expand Up @@ -277,7 +277,7 @@ def main(x: R.Tensor((8, 9, 10), dtype="float32")) -> R.Tensor((8, 9, 3), dtype=

@T.prim_func(private=True)
def strided_slice(rxplaceholder: T.Buffer((T.int64(8), T.int64(9), T.int64(10)), "float32"), T_strided_slice_with_axes: T.Buffer((T.int64(8), T.int64(9), T.int64(3)), "float32")):
T.func_attr({"tir.noalias": True})
T.func_attr({"tirx.noalias": True})
for ax0, ax1, ax2 in T.grid(T.int64(8), T.int64(9), T.int64(3)):
with T.sblock("T_strided_slice_with_axes"):
v_ax0, v_ax1, v_ax2 = T.axis.remap("SSS", [ax0, ax1, ax2])
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