// 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/phi/registry.h" #include #include #include "paddle/infrt/host_context/kernel_registry.h" #include "paddle/infrt/host_context/kernel_utils.h" #include "paddle/infrt/kernel/phi/allocator_kernels.h" #include "paddle/infrt/kernel/phi/context_kernels.h" #include "paddle/infrt/kernel/phi/dense_tensor_kernels.h" #include "paddle/infrt/kernel/phi/infershaped/phi_kernel_launcher.h" #include "paddle/phi/include/infermeta.h" #include "paddle/phi/include/kernels.h" #include "paddle/phi/kernels/matmul_kernel.h" using infrt::host_context::Attribute; namespace infrt { namespace kernel { void RegisterPhiKernels(host_context::KernelRegistry* registry) { registry->AddKernel("phi_dt.create_allocator.cpu", INFRT_KERNEL(infrt::kernel::phi::CreateCpuAllocator)); registry->AddKernel("phi_dt.create_context.cpu", INFRT_KERNEL(infrt::kernel::phi::CreateCpuContext)); registry->AddKernel( "phi_dt.create_dense_tensor.cpu.f32.nchw", INFRT_KERNEL(infrt::kernel::phi::CreateDenseTensorCpuF32Nchw)); registry->AddKernel("phi_dt.fill_dense_tensor.f32", INFRT_KERNEL(infrt::kernel::phi::FillDenseTensorF32)); registry->AddKernel( "phi_dt.fake_phi_kernel", std::bind(&KernelLauncherFunc, KernelLauncher(), std::placeholders::_1)); } } // namespace kernel } // namespace infrt