chore: import upstream snapshot with attribution

paddle/phi/kernels/assign_kernel.cc

@@ -0,0 +1,215 @@
+// 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/assign_kernel.h"
+
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+#include "paddle/utils/optional.h"
+
+namespace phi {
+
+template <typename Context>
+void AssignKernel(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  DenseTensor* out) {
+  phi::Copy(dev_ctx, x, x.place(), false, out);
+}
+
+template <typename Context>
+void AssignRawKernel(const Context& dev_ctx,
+                     const optional<DenseTensor>& x,
+                     DenseTensor* out) {
+  if (x) {
+    if (!x->IsInitialized()) {
+      return;
+    }
+    auto& x_tensor = *x.get_ptr();
+    AssignKernel<Context>(dev_ctx, x_tensor, out);
+  }
+}
+
+// Note: use `const optional<std::vector<const DenseTensor*>&> x`
+// as input if needed
+template <typename Context>
+void AssignArrayKernel(const Context& dev_ctx,
+                       const TensorArray& x,
+                       TensorArray* out) {
+  while (out->size() < x.size()) {
+    out->emplace_back();
+  }
+  for (size_t i = 0; i < x.size(); ++i) {
+    AssignKernel<Context>(dev_ctx, x[i], &out->at(i));
+  }
+}
+
+template <typename T, typename Context>
+typename std::enable_if<std::is_same<T, bool>::value>::type CopyVectorToTensor(
+    const Context& dev_ctx,
+    const std::vector<Scalar>& values,
+    DenseTensor* out) {
+  // If attribute value dtype is vector<bool>, it will be converted to
+  // vector<int>. at the same time, we can not use vector<bool> to hold
+  // the value, because the c++ use bit value to replace byte value.
+  std::vector<int> assign_values;
+  assign_values.reserve(values.size());
+  for (const auto& val : values) {
+    assign_values.emplace_back(val.to<int>());
+  }
+  TensorFromVector(assign_values, dev_ctx, out);
+
+  // use the array to replace to vector
+  bool* array_ptr = new T[assign_values.size()];
+  for (unsigned int i = 0; i < assign_values.size(); i++) {
+    array_ptr[i] = static_cast<T>(assign_values[i]);
+  }
+  phi::TensorFromArray(array_ptr, assign_values.size(), dev_ctx, out);
+  delete[] array_ptr;
+}
+
+template <typename T, typename Context>
+typename std::enable_if<!std::is_same<T, bool>::value>::type CopyVectorToTensor(
+    const Context& dev_ctx,
+    const std::vector<Scalar>& values,
+    DenseTensor* out) {
+  std::vector<T> assign_values;
+  assign_values.reserve(values.size());
+  for (const auto& val : values) {
+    assign_values.emplace_back(val.to<T>());
+  }
+  TensorFromVector(assign_values, dev_ctx, out);
+}
+
+template <typename T, typename Context>
+void AssignValueKernel(const Context& dev_ctx,
+                       const std::vector<int>& shape,
+                       DataType dtype,
+                       const std::vector<Scalar>& values,
+                       DenseTensor* out) {
+  auto template_dtype = CppTypeToDataType<T>::Type();
+  PADDLE_ENFORCE_EQ(dtype,
+                    template_dtype,
+                    common::errors::InvalidArgument(
+                        "Argument dtype mismatch for kernel dtype, "
+                        "argument dtype is %s, kernel dtype is %s.",
+                        dtype,
+                        template_dtype));
+  CopyVectorToTensor<T>(dev_ctx, values, out);
+  out->Resize(shape);
+}
+
+#ifdef _WIN32
+template PADDLE_API void AssignKernel<CPUContext>(const CPUContext& dev_ctx,
+                                                  const DenseTensor& x,
+                                                  DenseTensor* out);
+#endif
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL_FOR_ALL_DTYPE(assign,
+                                 CPU,
+                                 ALL_LAYOUT,
+                                 phi::AssignKernel<phi::CPUContext>) {}
+
+PD_REGISTER_KERNEL_FOR_ALL_DTYPE(assign_raw,
+                                 CPU,
+                                 ALL_LAYOUT,
+                                 phi::AssignRawKernel<phi::CPUContext>) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+PD_REGISTER_KERNEL_FOR_ALL_DTYPE(assign_array,
+                                 CPU,
+                                 ALL_LAYOUT,
+                                 phi::AssignArrayKernel<phi::CPUContext>) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+PD_REGISTER_KERNEL(assign_value,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::AssignValueKernel,
+                   bool,
+                   int,
+                   float,
+                   double,
+                   int8_t,
+                   int64_t,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::complex64,
+                   phi::complex128) {}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL_FOR_ALL_DTYPE(assign,
+                                 GPU,
+                                 ALL_LAYOUT,
+                                 phi::AssignKernel<phi::GPUContext>) {}
+PD_REGISTER_KERNEL_FOR_ALL_DTYPE(assign_raw,
+                                 GPU,
+                                 ALL_LAYOUT,
+                                 phi::AssignRawKernel<phi::GPUContext>) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+PD_REGISTER_KERNEL_FOR_ALL_DTYPE(assign_array,
+                                 GPU,
+                                 ALL_LAYOUT,
+                                 phi::AssignArrayKernel<phi::GPUContext>) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+PD_REGISTER_KERNEL(assign_value,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::AssignValueKernel,
+                   bool,
+                   int,
+                   float,
+                   double,
+                   int8_t,
+                   int64_t,
+                   phi::float16,
+                   phi::bfloat16,
+                   phi::complex64,
+                   phi::complex128) {}
+#endif
+
+#ifdef PADDLE_WITH_XPU
+PD_REGISTER_KERNEL_FOR_ALL_DTYPE(assign,
+                                 XPU,
+                                 ALL_LAYOUT,
+                                 phi::AssignKernel<phi::XPUContext>) {}
+PD_REGISTER_KERNEL_FOR_ALL_DTYPE(assign_raw,
+                                 XPU,
+                                 ALL_LAYOUT,
+                                 phi::AssignRawKernel<phi::XPUContext>) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+PD_REGISTER_KERNEL_FOR_ALL_DTYPE(assign_array,
+                                 XPU,
+                                 ALL_LAYOUT,
+                                 phi::AssignArrayKernel<phi::XPUContext>) {
+  kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
+}
+PD_REGISTER_KERNEL(assign_value,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::AssignValueKernel,
+                   bool,
+                   int,
+                   float,
+                   phi::bfloat16,
+                   phi::float16,
+                   double,
+                   int64_t,
+                   phi::complex64,
+                   phi::complex128) {}
+#endif