text: // 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/infrt/kernel/pten/dense_tensor_kernels.h"
  
  namespace infrt {
  namespace kernel {
  namespace pten {
  
  ::pten::DenseTensor CreateDenseTensorCpuF32Nchw(
      backends::CpuPtenAllocator* allocator,
      host_context::Attribute<std::vector<int64_t>> dims,
      host_context::Attribute<std::vector<int64_t>> lod) {
    return ::pten::DenseTensor(
        allocator,
        ::pten::DenseTensorMeta(::pten::DataType::FLOAT32,
                                ::pten::framework::make_ddim(dims.get()),
                                ::pten::DataLayout::NCHW,
                                {}));
  }
  
  void FillDenseTensorF32(::pten::DenseTensor* dense_tensor,
                          host_context::Attribute<std::vector<int64_t>> values) {}
  
  }  // namespace pten
  }  // namespace kernel
  }  // namespace infrt
  