// Copyright (c) 2024 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/random_routing_kernel.h" #include "paddle/phi/backends/all_context.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/core/tensor_utils.h" #ifdef PADDLE_WITH_CUSTOM_DEVICE namespace phi { template void RandomRoutingKernel(const Context& dev_ctx, const DenseTensor& prob_in, const DenseTensor& topk_value_in, const DenseTensor& topk_idx_in, DenseTensor* out) { auto topk_idx = &topk_idx_in; auto topk_value = &topk_value_in; auto prob = &prob_in; size_t D = topk_idx->dims()[1]; DenseTensor topk_value_cpu, prob_cpu; phi::Copy(dev_ctx, *topk_value, phi::CPUPlace(), true, &topk_value_cpu); phi::Copy(dev_ctx, *prob, phi::CPUPlace(), true, &prob_cpu); auto* topk_value_data = topk_value_cpu.data(); auto* prob_data = prob_cpu.data(); std::vector out_data(topk_idx->numel()); for (int64_t idx = 0; idx < topk_idx->numel(); ++idx) { size_t row = idx / D; size_t col = idx % D; if (col == 1 && static_cast(2) * topk_value_data[idx] < prob_data[row]) { out_data[idx] = static_cast(-1); } } auto out_dims = out->dims(); TensorFromVector(out_data, dev_ctx, out); out->Resize(out_dims); } } // namespace phi PD_REGISTER_KERNEL(random_routing, Custom, ALL_LAYOUT, phi::RandomRoutingKernel, float, double, phi::float16) {} #endif