Add impl for aten.where.self and lowering.

PiperOrigin-RevId: 773821850

Author: junjiang-lab

ai_edge_torch/odml_torch/experimental/torch_tfl/_decomps.py

@@ -278,6 +278,11 @@ def _aten_select_int_decomp(x, dim, index):
   return torch.ops.tfl.squeeze(sliced, [dim])
 
 
+@register_decomp(torch.ops.aten.where.self)
+def _aten_where_self_decomp(condition, x, y):
+  return torch.ops.tfl.select_v2(condition, x, y)
+
+
 @register_decomp(torch.ops.aten._softmax.default)
 def _aten__softmax_decomp(
     x, dim: int, half_to_float: bool  # pylint: disable=unused-argument

ai_edge_torch/odml_torch/experimental/torch_tfl/_lowerings.py

@@ -586,6 +586,20 @@ def _tfl_strided_slice_lowering(
   )
 
 
+@lower(torch.ops.tfl.select_v2.default)
+def _tfl_select_v2_lowering(
+    lctx: LoweringContext,
+    condition: ir.Value,
+    x: ir.Value,
+    y: ir.Value,
+) -> ir.Value:
+  return _ir_operation(
+      "tfl.select_v2",
+      results=lowering_utils.node_meta_to_ir_types(lctx.node),
+      operands=[condition, x, y],
+  )
+
+
 @lower(torch.ops.tfl.softmax.default)
 def _tfl_softmax_lowering(
     lctx: LoweringContext,

ai_edge_torch/odml_torch/experimental/torch_tfl/_ops.py

@@ -266,6 +266,13 @@ def tfl_strided_slice(
   return result
 
 
+@custom_op_with_fake("tfl::select_v2")
+def tfl_select_v2(
+    condition: torch.Tensor, x: torch.Tensor, y: torch.Tensor
+) -> torch.Tensor:
+  return torch.where(condition, x, y)
+
+
 @custom_op_with_fake("tfl::softmax")
 def tfl_softmax(x: torch.Tensor) -> torch.Tensor:
   return torch.nn.functional.softmax(x, dim=-1)

ai_edge_torch/odml_torch/experimental/torch_tfl/test/test_torch_tfl_impls.py

@@ -185,6 +185,7 @@ def _assert_export_and_close(
       ("aten_squeeze_dims_0", torch.ops.aten.squeeze.dims, (rnd(torch.float32, (2, 1, 2, 1, 2)), [1, 2, 3],), dict()),
       ("aten_select_int_0", torch.ops.aten.select.int, (rnd(torch.float32, (2, 3, 4)), 0, 1,), dict()),
       ("aten_select_int_1", torch.ops.aten.select.int, (rnd(torch.float32, (2, 3, 4)), 1, 1,), dict()),
+      ("aten_where_self_0", torch.ops.aten.where.self, (rnd(torch.bool, (10, 10)), rnd(torch.float32, (10, 10)), rnd(torch.float32, (10, 10)),), dict()),
       ("aten__softmax_0", torch.ops.aten._softmax.default, (rnd(torch.float32, (10, 10)), -1, False), dict()),
       ("aten__softmax_1", torch.ops.aten._softmax.default, (rnd(torch.float32, (1, 10)), -1, False), dict()),
       ("aten__softmax_2", torch.ops.aten._softmax.default, (rnd(torch.float32, (10, 10)), 0, False), dict()),