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[slice] Add AMP Logic in ApplyGetitem #74727

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Merged
merged 2 commits into from
Aug 21, 2025
Merged

[slice] Add AMP Logic in ApplyGetitem #74727

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[slice] Add AMP Logic in ApplyGetitem
zhanghonggeng Aug 19, 2025
5dab5b7
Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into…
zhanghonggeng Aug 20, 2025
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76 changes: 76 additions & 0 deletions paddle/fluid/pybind/slice_utils.h
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Original file line number Diff line number Diff line change
Expand Up @@ -820,6 +820,43 @@ static paddle::Tensor getValueForBoolTensor(const paddle::Tensor& tensor,
indices_int64.push_back(indice);
}

// AMP Logic
if (egr::Controller::Instance().GetAMPLevel() !=
paddle::imperative::AmpLevel::O0) {
auto op_name = phi::TransToFluidOpName("index_elementwise_get");
paddle::small_vector<std::vector<paddle::Tensor>,
egr::kSlotSmallVectorSize>
amp_tensors_vector = {{self_tensor}};

auto amp_dst_dtype =
paddle::imperative::GetAmpDestDtype(op_name, amp_tensors_vector);

auto new_self_tensor = paddle::imperative::AmpAutoCast(
"self_tensor", self_tensor, amp_dst_dtype, op_name);
auto new_tensor = paddle::imperative::AmpAutoCast(
"tensor", tensor, amp_dst_dtype, op_name);

{
paddle::imperative::AutoCastGuard guard(
egr::Controller::Instance().GetCurrentAmpAttrs(),
paddle::imperative::AmpLevel::O0);

AdvancedIndex ad = AdvancedIndex(new_tensor, indices_int64);
const bool is_combined = false;
const bool accumulate = false;

return index_elementwise_get_ad_func(new_self_tensor,
ad.indices,
ad.src_sizes,
ad.src_strides,
ad.indexed_sizes,
ad.indexed_strides,
slice_offset,
accumulate,
is_combined);
}
}

AdvancedIndex ad = AdvancedIndex(tensor, indices_int64);
const bool is_combined = false;
const bool accumulate = false;
Expand Down Expand Up @@ -1287,6 +1324,45 @@ static void ApplyGetitem(const int index_size,
transed_tensor,
&transed_index_int64);

// AMP Logic
if (egr::Controller::Instance().GetAMPLevel() !=
paddle::imperative::AmpLevel::O0) {
auto op_name = phi::TransToFluidOpName("index_elementwise_get");
paddle::small_vector<std::vector<paddle::Tensor>,
egr::kSlotSmallVectorSize>
amp_tensors_vector = {{*self_tensor}};

auto amp_dst_dtype =
paddle::imperative::GetAmpDestDtype(op_name, amp_tensors_vector);

auto new_self_tensor = paddle::imperative::AmpAutoCast(
"self_tensor", *self_tensor, amp_dst_dtype, op_name);
auto new_transed_tensor = paddle::imperative::AmpAutoCast(
"transed_tensor", *transed_tensor, amp_dst_dtype, op_name);

{
paddle::imperative::AutoCastGuard guard(
egr::Controller::Instance().GetCurrentAmpAttrs(),
paddle::imperative::AmpLevel::O0);

AdvancedIndex ad =
AdvancedIndex(new_transed_tensor, transed_index_int64);

const bool is_combined = (index_size == 1) ? false : true;
const bool accumulate = true;
*out = index_elementwise_get_ad_func(new_self_tensor,
ad.indices,
ad.src_sizes,
ad.src_strides,
ad.indexed_sizes,
ad.indexed_strides,
slice_offset,
accumulate,
is_combined);
}
return;
}

AdvancedIndex ad = AdvancedIndex(*transed_tensor, transed_index_int64);
// is_combined:
// Distinguishes between regular indexing (single index) and combined
Expand Down