Remove _unsafe_index implementation.

pytorch · Nov 4, 2023 · 4a974aa · 4a974aa
1 parent 5dfcec9
commit 4a974aa
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diff --git a/codegen/xla_native_functions.yaml b/codegen/xla_native_functions.yaml
@@ -130,7 +130,6 @@ supported:
   - _to_cpu
   - _to_copy
   - _unsafe_view
-  - _unsafe_index.Tensor
   - adaptive_max_pool2d
   - adaptive_max_pool2d_backward
   - add.Scalar

diff --git a/test/cpp/test_aten_xla_tensor_1.cpp b/test/cpp/test_aten_xla_tensor_1.cpp
@@ -2033,34 +2033,6 @@ TEST_F(AtenXlaTensorTest, TestScatterReduceMaxInPlace) {
   ExpectCounterChanged("xla::scatter_reduce", cpp_test::GetIgnoredCounters());
 }
 
-TEST_F(AtenXlaTensorTest, TestUnsafeIndex) {
-  for (torch::ScalarType scalar_type :
-       {torch::kFloat, torch::kByte, torch::kChar, torch::kShort, torch::kInt,
-        torch::kLong}) {
-    torch::Tensor a =
-        isFloatingType(scalar_type)
-            ? torch::rand({3, 4}, torch::TensorOptions(scalar_type))
-            : torch::randint(100, {3, 4}, torch::TensorOptions(scalar_type));
-    for (torch::ScalarType index_scalar_type : {torch::kInt, torch::kLong}) {
-      torch::List<torch::optional<torch::Tensor>> indices{
-          torch::tensor({0, 1}, torch::TensorOptions(index_scalar_type)),
-          torch::tensor({2, 3}, torch::TensorOptions(index_scalar_type))};
-      torch::Tensor c0 = torch::_unsafe_index(a, indices);
-      ForEachDevice([&](const torch::Device& device) {
-        torch::Tensor xla_a = CopyToDevice(a, device);
-        torch::List<torch::optional<torch::Tensor>> xla_indices{
-            CopyToDevice(*indices.get(0), device),
-            CopyToDevice(*indices.get(1), device)};
-        torch::Tensor xla_c0 = torch::_unsafe_index(xla_a, xla_indices);
-        AllEqual(c0, xla_c0);
-      });
-    }
-  }
-  ExpectCounterNotChanged("aten::.*", cpp_test::GetIgnoredCounters());
-  ExpectCounterChanged("xla::index", cpp_test::GetIgnoredCounters());
-  ExpectCounterChanged("xla::_unsafe_index", cpp_test::GetIgnoredCounters());
-}
-
 TEST_F(AtenXlaTensorTest, TestIndexSelect) {
   for (torch::ScalarType scalar_type :
        {torch::kFloat, torch::kByte, torch::kChar, torch::kShort, torch::kInt,

diff --git a/torch_xla/csrc/aten_xla_type.cpp b/torch_xla/csrc/aten_xla_type.cpp
@@ -626,13 +626,6 @@ at::Tensor XLANativeFunctions::_unsafe_view(const at::Tensor& self,
   return view_copy_symint(self, c10::fromIntArrayRefSlow(size));
 }
 
-at::Tensor XLANativeFunctions::_unsafe_index(
-    const at::Tensor& self,
-    const c10::List<c10::optional<at::Tensor>>& indices) {
-  TORCH_LAZY_FN_COUNTER("xla::");
-  return index(self, indices);
-}
-
 at::Tensor XLANativeFunctions::add(const at::Tensor& self,
                                    const at::Tensor& other,
                                    const at::Scalar& alpha) {