chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
@@ -0,0 +1,71 @@
+/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+
+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. */
+
+#include "paddle/phi/common/int_array.h"
+
+#include "paddle/phi/api/include/tensor.h"
+#include "paddle/phi/api/lib/tensor_copy.h"
+#include "paddle/phi/common/place.h"
+
+namespace paddle::experimental {
+
+template <>
+IntArrayBase<Tensor>::IntArrayBase(const Tensor& tensor) {  // NOLINT
+  is_from_tensor_ = true;
+  if (tensor.place().GetType() == phi::AllocationType::CPU) {
+    AssignDataFromTensor(tensor);
+  } else {
+    Tensor tensor_tmp;
+    copy(tensor, phi::CPUPlace(), true, &tensor_tmp);
+    AssignDataFromTensor(tensor_tmp);
+  }
+}
+
+template <>
+IntArrayBase<Tensor>::IntArrayBase(const std::vector<Tensor>& tensor_list) {
+  is_from_tensor_ = true;
+
+  for (const auto& tensor : tensor_list) {
+    DataType data_type = tensor.dtype();
+    switch (data_type) {
+      case DataType::INT32:
+        if (tensor.place().GetType() == AllocationType::CPU) {
+          array_.push_back(*tensor.template data<int32_t>());
+        } else {
+          Tensor tensor_tmp;
+          copy(tensor, phi::CPUPlace(), true, &tensor_tmp);
+          array_.push_back(*tensor_tmp.template data<int32_t>());
+        }
+        break;
+      case DataType::INT64:
+        if (tensor.place().GetType() == AllocationType::CPU) {
+          array_.push_back(*tensor.template data<int64_t>());
+        } else {
+          Tensor tensor_tmp;
+          copy(tensor, phi::CPUPlace(), true, &tensor_tmp);
+          array_.push_back(*tensor_tmp.template data<int64_t>());
+        }
+        break;
+      default:
+        PD_THROW(
+            "Data type error. Currently, The data type of IntArrayBase "
+            "only supports Tensor with int32 and int64, "
+            "but now received `",
+            data_type,
+            "`.");
+    }
+  }
+}
+
+}  // namespace paddle::experimental