/* Copyright (c) 2018 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. */ #pragma once #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/platform/assert.h" #include "paddle/fluid/platform/for_range.h" namespace paddle { namespace operators { template struct TargetAssignFunctor { const T* in_; const int* match_indices_; const size_t* lod_; const int mismatch_value_; const int64_t N_; const int64_t M_; const int64_t P_; const int64_t K_; T* out_; WT* out_wt_; TargetAssignFunctor(const T* input, const int* match_indices, const size_t* lod, const int mismatch_value, const int64_t N, const int64_t M, const int64_t P, const int64_t K, T* out, WT* out_wt) : in_(input), match_indices_(match_indices), lod_(lod), mismatch_value_(mismatch_value), N_(N), M_(M), P_(P), K_(K), out_(out), out_wt_(out_wt) {} HOSTDEVICE void operator()(size_t i) const { int h = i / M_; int w = i - h * M_; size_t off = lod_[h]; int id = match_indices_[i]; T* out = out_ + i * K_; WT* out_wt = out_wt_ + i; if (id > -1) { int w_off = w % P_; const T* in = in_ + ((off + id) * P_ + w_off) * K_; for (int64_t k = 0; k < K_; ++k) { out[k] = in[k]; } out_wt[0] = static_cast(1.); } else { for (int64_t k = 0; k < K_; ++k) { out[k] = static_cast(mismatch_value_); } out_wt[0] = static_cast(0.); } } }; template struct NegTargetAssignFunctor { void operator()(const platform::DeviceContext& ctx, const int* neg_indices, const size_t* lod, const int N, const int M, const int K, const int mismatch_value, T* out, WT* out_wt) const; }; template class TargetAssignKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { auto* x = ctx.Input("X"); auto* match_indices = ctx.Input("MatchIndices"); auto* out = ctx.Output("Out"); auto* out_wt = ctx.Output("OutWeight"); PADDLE_ENFORCE_EQ(x->lod().size(), 1UL); int mismatch_value = ctx.Attr("mismatch_value"); const T* x_data = x->data(); const int* match_idx_data = match_indices->data(); T* out_data = out->mutable_data(ctx.GetPlace()); WT* out_wt_data = out_wt->mutable_data(ctx.GetPlace()); int64_t n = match_indices->dims()[0]; int64_t m = match_indices->dims()[1]; int64_t p = x->dims()[1]; int64_t k = x->dims()[2]; auto x_lod = x->lod().back(); size_t* x_lod_data = x_lod.MutableData(ctx.GetPlace()); TargetAssignFunctor functor(x_data, match_idx_data, x_lod_data, mismatch_value, n, m, p, k, out_data, out_wt_data); auto& device_ctx = ctx.template device_context(); platform::ForRange for_range(device_ctx, n * m); for_range(functor); auto* neg_indices = ctx.Input("NegIndices"); if (neg_indices) { PADDLE_ENFORCE_EQ(neg_indices->lod().size(), 1UL); const int* neg_idx_data = neg_indices->data(); auto neg_lod = neg_indices->lod().back(); size_t* neg_lod_data = neg_lod.MutableData(ctx.GetPlace()); NegTargetAssignFunctor neg_trg_functor; neg_trg_functor(device_ctx, neg_idx_data, neg_lod_data, n, m, k, mismatch_value, out_data, out_wt_data); } } }; } // namespace operators } // namespace paddle