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 +1,111 @@
+// 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/kernels/logical_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/elementwise_base.h"
+#include "paddle/phi/kernels/funcs/logical_functor.h"
+
+#include "paddle/phi/common/transform.h"
+
+namespace phi {
+
+template <typename T, typename Context, typename Functor>
+void LogicalKernelImpl(const Context& dev_ctx,
+                       const DenseTensor& x,
+                       const DenseTensor& y,
+                       DenseTensor* out) {
+  Functor binary_func;
+  funcs::ElementwiseCompute<Functor, T, bool>(dev_ctx, x, y, binary_func, out);
+}
+
+template <typename T, typename Context, typename Functor>
+void InplaceLogicalKernelImpl(const Context& dev_ctx,
+                              const DenseTensor& x,
+                              const DenseTensor& y,
+                              DenseTensor* out) {
+  Functor binary_func;
+  auto x_origin = x;
+  out->set_type(DataType::BOOL);
+  funcs::ElementwiseCompute<Functor, T, bool>(
+      dev_ctx, x_origin, y, binary_func, out);
+}
+
+#define DEFINE_LOGICAL_BINARY_KERNEL(type)                                    \
+  template <typename T, typename Context>                                     \
+  void Logical##type##Kernel(const Context& dev_ctx,                          \
+                             const DenseTensor& x,                            \
+                             const DenseTensor& y,                            \
+                             DenseTensor* out) {                              \
+    if (out->IsSharedWith(x)) {                                               \
+      InplaceLogicalKernelImpl<T, Context, funcs::Logical##type##Functor<T>>( \
+          dev_ctx, x, y, out);                                                \
+    } else {                                                                  \
+      LogicalKernelImpl<T, Context, funcs::Logical##type##Functor<T>>(        \
+          dev_ctx, x, y, out);                                                \
+    }                                                                         \
+  }
+
+DEFINE_LOGICAL_BINARY_KERNEL(And)
+DEFINE_LOGICAL_BINARY_KERNEL(Or)
+DEFINE_LOGICAL_BINARY_KERNEL(Xor)
+#undef DEFINE_LOGICAL_BINARY_KERNEL
+
+template <typename T, typename Context>
+void LogicalNotKernel(const Context& dev_ctx,
+                      const DenseTensor& x,
+                      DenseTensor* out) {
+  funcs::LogicalNotFunctor<T> unary_func;
+
+  Transform<Context> trans;
+  if (out->IsSharedWith(x)) {
+    auto x_origin = x;
+    out->set_type(DataType::BOOL);
+    auto* out_ptr = dev_ctx.template Alloc<bool>(out);
+    trans(dev_ctx,
+          x_origin.data<T>(),
+          x_origin.data<T>() + x_origin.numel(),
+          out_ptr,
+          unary_func);
+  } else {
+    auto* out_ptr = dev_ctx.template Alloc<bool>(out);
+    trans(dev_ctx, x.data<T>(), x.data<T>() + x.numel(), out_ptr, unary_func);
+  }
+}
+
+}  // namespace phi
+
+#define REGISTER_LOGICAL_CPU_KERNEL(logical_and, func_type) \
+  PD_REGISTER_KERNEL(logical_and,                           \
+                     CPU,                                   \
+                     ALL_LAYOUT,                            \
+                     phi::Logical##func_type##Kernel,       \
+                     float,                                 \
+                     double,                                \
+                     bool,                                  \
+                     int64_t,                               \
+                     int,                                   \
+                     int8_t,                                \
+                     phi::complex64,                        \
+                     phi::complex128,                       \
+                     int16_t) {                             \
+    kernel->OutputAt(0).SetDataType(phi::DataType::BOOL);   \
+  }
+
+REGISTER_LOGICAL_CPU_KERNEL(logical_and, And)
+REGISTER_LOGICAL_CPU_KERNEL(logical_or, Or)
+REGISTER_LOGICAL_CPU_KERNEL(logical_not, Not)
+REGISTER_LOGICAL_CPU_KERNEL(logical_xor, Xor)