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 +1,131 @@
+// Copyright (c) 2024 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 <string>
+#include <vector>
+
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/enforce.h"
+#include "paddle/phi/kernels/funcs/blas/blas.h"
+#include "paddle/phi/kernels/funcs/eigen/common.h"
+#include "paddle/phi/kernels/funcs/selected_rows_functor.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+namespace sr {
+
+constexpr int64_t kNoPadding = -1;
+
+template <typename T, typename Context>
+void LookupTableKernel(const Context &dev_ctx,
+                       const SelectedRows &w,
+                       const DenseTensor &ids_in,
+                       bool is_sparse,
+                       bool is_distributed UNUSED,
+                       int64_t padding_idx,
+                       bool remote_prefetch UNUSED,
+                       const std::string &entry_config UNUSED,
+                       bool is_test,
+                       const std::string &entry UNUSED,
+                       const std::string &table_class UNUSED,
+                       const std::vector<std::string> &table_names UNUSED,
+                       int trainer_id UNUSED,
+                       bool grad_inplace UNUSED,
+                       const std::vector<std::string> &epmap UNUSED,
+                       const std::vector<int64_t> &height_sections UNUSED,
+                       SelectedRows *out) {
+  auto *ids_t = &ids_in;  // int tensor
+  auto *output_t = out;   // float tensor
+
+  int64_t *ids = const_cast<int64_t *>(ids_t->data<int64_t>());
+  int64_t ids_numel = ids_t->numel();
+
+  const auto &table_t = w;
+  int64_t row_width = table_t.value().dims()[1];
+  const auto *table = table_t.value().data<T>();
+  auto *output = dev_ctx.template Alloc<T>(output_t);
+  auto input_data_type = table_t.value().dtype();
+  for (int64_t i = 0; i < ids_numel; ++i) {
+    if (padding_idx != kNoPadding && ids[i] == padding_idx) {
+      memset(output + i * row_width, 0, row_width * sizeof(T));
+    } else {
+      PADDLE_ENFORCE_GE(ids[i],
+                        0,
+                        common::errors::InvalidArgument(
+                            "Variable value (input) of OP(lookup_table) "
+                            "expected >= 0. But received %ld",
+                            ids[i]));
+      if (is_test) {
+        auto id_index = table_t.GetIndexFromId(ids[i]);
+
+        if (id_index != -1) {
+          if (input_data_type == phi::DataType::INT8 ||
+              input_data_type == phi::DataType::INT16 ||
+              input_data_type == phi::DataType::BFLOAT16) {
+            memcpy(output + i * row_width,
+                   table + id_index * row_width,
+                   row_width * sizeof(T));
+          } else {
+            auto blas = funcs::GetBlas<CPUContext, T>(dev_ctx);
+            blas.VCOPY(row_width,
+                       table + id_index * row_width,
+                       output + i * row_width);
+          }
+        } else {
+          memset(output + i * row_width, 0, row_width * sizeof(T));
+        }
+      } else {
+        auto id_index = table_t.Index(ids[i]);
+        PADDLE_ENFORCE_GE(ids[i],
+                          0,
+                          common::errors::InvalidArgument(
+                              "Variable value (input) of OP(lookup_table) "
+                              "expected >= 0. But received %ld",
+                              ids[i]));
+        PADDLE_ENFORCE_GE(
+            id_index,
+            0,
+            common::errors::InvalidArgument(
+                "the input key should be exists. But received %d.", id_index));
+
+        if (input_data_type == phi::DataType::INT8 ||
+            input_data_type == phi::DataType::INT16 ||
+            input_data_type == phi::DataType::BFLOAT16) {
+          memcpy(output + i * row_width,
+                 table + id_index * row_width,
+                 row_width * sizeof(T));
+        } else {
+          auto blas = funcs::GetBlas<CPUContext, T>(dev_ctx);
+          blas.VCOPY(
+              row_width, table + id_index * row_width, output + i * row_width);
+        }
+      }
+    }
+  }
+}
+
+}  // namespace sr
+}  // namespace phi
+
+PD_REGISTER_KERNEL(lookup_table_sr,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sr::LookupTableKernel,
+                   float,
+                   double,
+                   int8_t,
+                   int16_t,
+                   phi::bfloat16) {}