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 +1,70 @@
+/* Copyright (c) 2016 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. */
+
+#pragma once
+#include <string>
+
+#include "paddle/fluid/framework/dense_tensor_array.h"
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/phi/core/platform/device_context.h"
+
+namespace paddle {
+namespace operators {
+
+class ArrayOp : public framework::OperatorBase {
+ public:
+  ArrayOp(const std::string &type,
+          const framework::VariableNameMap &inputs,
+          const framework::VariableNameMap &outputs,
+          const framework::AttributeMap &attrs)
+      : OperatorBase(type, inputs, outputs, attrs) {}
+
+ protected:
+  size_t GetOffset(const framework::Scope &scope,
+                   const phi::Place &place) const {
+    auto *i = scope.FindVar(Input("I"));
+    PADDLE_ENFORCE_NOT_NULL(i,
+                            common::errors::NotFound("Input(I) is not found."));
+    auto &i_tensor = i->Get<DenseTensor>();
+    PADDLE_ENFORCE_EQ(i_tensor.numel(),
+                      1,
+                      common::errors::InvalidArgument(
+                          "Input(I) must have numel 1. "
+                          "But received %d, and it's shape is [%s].",
+                          i_tensor.numel(),
+                          i_tensor.dims()));
+
+    // get device context from pool
+    phi::DeviceContextPool &pool = phi::DeviceContextPool::Instance();
+    auto &dev_ctx = *pool.Get(place);
+
+    size_t offset;
+    if (i_tensor.place().GetType() == phi::AllocationType::GPU ||
+        i_tensor.place().GetType() == phi::AllocationType::XPU ||
+        i_tensor.place().GetType() == phi::AllocationType::CUSTOM) {
+      // FIXME: Avoid copy from GPU to CPU
+      DenseTensor t;
+      phi::Copy(dev_ctx, i_tensor, phi::CPUPlace(), false, &t);
+      dev_ctx.Wait();
+      offset = static_cast<size_t>(*t.data<int64_t>());
+    } else {
+      offset = static_cast<size_t>(*i_tensor.data<int64_t>());
+    }
+    VLOG(10) << " Offset = " << offset;
+    return offset;
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle