Add index_select AIT converter (facebookincubator#947)

Summary:
Pull Request resolved: facebookincubator#947

`index_select` op has been [available](https://github.com/facebookincubator/AITemplate/blob/main/python/aitemplate/compiler/ops/tensor/index_select.py) in AIT for a while, but we never had an fx2ait converter for it. This diff adds one.

Reviewed By: qxy11

Differential Revision: D50119460

fbshipit-source-id: d1a09c2492504b849edf37af156938effd54666e

fx2ait/fx2ait/converters/ait_converters.py

@@ -42,6 +42,7 @@
     getitem,
     group_norm,
     identity,
+    index_select,
     IntImm,
     IntVar,
     IntVarTensor,
@@ -1829,3 +1830,24 @@ def acc_ops_masked_select(
     mask = kwargs["mask"]
 
     return masked_select()(input_val, mask)
+
+
+@ait_converter(acc_ops.index_select)
+def acc_ops_index_select(
+    target: Target,
+    args: Tuple[Argument, ...],
+    kwargs: Dict[str, Argument],
+    name: str,
+) -> ConverterOutput:
+    input_val = args[0] if len(args) >= 1 else kwargs["input"]
+    dim = args[1] if len(args) >= 2 else kwargs["dim"]
+    index = args[2] if len(args) >= 3 else kwargs["index"]
+
+    if not isinstance(input_val, AITTensor):
+        raise RuntimeError(f"Non-tensor 'input' for {name}: {input_val}")
+    if not isinstance(dim, int):
+        raise RuntimeError(f"Non-int 'dim' for {name}: {dim}")
+    if not isinstance(index, AITTensor):
+        raise RuntimeError(f"Non-tensor 'index' for {name}: {index}")
+
+    return index_select(dim=dim)(x=input_val, dim_idxs=index)

fx2ait/fx2ait/test/converters/test_ait_index_select.py

@@ -0,0 +1,56 @@
+#  Copyright (c) Meta Platforms, Inc. and affiliates.
+#
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+#
+import torch
+from fx2ait.acc_tracer import acc_ops
+from fx2ait.tools.common_fx2ait import AITTestCase
+from parameterized import param, parameterized
+
+
+class TestIndexSelectConverter(AITTestCase):
+    @parameterized.expand(
+        [
+            param(
+                "first_dim",
+                torch.randn(5, 10, 20),
+                0,
+                torch.randint(low=0, high=5, size=(3,)),
+            ),
+            param(
+                "mid_dim",
+                torch.randn(5, 10, 20),
+                1,
+                torch.randint(low=0, high=10, size=(20,)),
+            ),
+            param(
+                "last_dim",
+                torch.randn(5, 10, 20),
+                2,
+                torch.randint(low=0, high=20, size=(10,)),
+            ),
+        ]
+    )
+    def test_index_select(self, _, inp, dim, index):
+        class TestModule(torch.nn.Module):
+            def forward(
+                self,
+                inp: torch.Tensor,
+                index: torch.Tensor,
+            ) -> torch.Tensor:
+                return torch.index_select(inp, dim, index=index)
+
+        model = TestModule().eval().half().cuda()
+        inputs = [inp.cuda(), index.cuda()]
+
+        self.run_test(model, inputs, expected_ops={acc_ops.index_select})

python/aitemplate/compiler/public/__init__.py

@@ -73,6 +73,7 @@
 from aitemplate.compiler.ops.pool.avg_pool2d import avg_pool2d
 from aitemplate.compiler.ops.pool.max_pool2d import max_pool2d
 from aitemplate.compiler.ops.softmax.softmax import softmax
+from aitemplate.compiler.ops.tensor.index_select import index_select
 from aitemplate.compiler.ops.tensor.masked_select import masked_select
 from aitemplate.compiler.ops.tensor.size import size
 from aitemplate.compiler.ops.tensor.topk import topk