// 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/gather_kernel.h" #include "paddle/phi/common/bfloat16.h" #include "paddle/phi/common/float16.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/funcs/gather.cu.h" namespace phi { template void GatherKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& index, const Scalar& axis, DenseTensor* out) { const auto& index_type = index.dtype(); auto axis_v = axis.to(); if (axis_v != 0) { if (index_type == phi::DataType::INT32) { phi::funcs::GatherV2CUDAFunction( &x, &index, axis_v, out, dev_ctx); } else if (index_type == phi::DataType::INT64) { phi::funcs::GatherV2CUDAFunction( &x, &index, axis_v, out, dev_ctx); } else if (index_type == phi::DataType::INT16) { phi::funcs::GatherV2CUDAFunction( &x, &index, axis_v, out, dev_ctx); } return; } dev_ctx.template Alloc(out); if (x.numel() == 0) return; if (index_type == phi::DataType::INT32) { phi::funcs::GPUGather(dev_ctx, x, index, out); } else if (index_type == phi::DataType::INT64) { phi::funcs::GPUGather(dev_ctx, x, index, out); } else if (index_type == phi::DataType::INT16) { phi::funcs::GPUGather(dev_ctx, x, index, out); } } } // namespace phi PD_REGISTER_KERNEL(gather, GPU, ALL_LAYOUT, phi::GatherKernel, float, double, int64_t, int, int16_t, phi::dtype::float16, phi::dtype::bfloat16) {}