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134 lines
4.3 KiB
134 lines
4.3 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/platform/assert.h"
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#include "paddle/fluid/platform/for_range.h"
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namespace paddle {
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namespace operators {
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template <typename T, typename WT>
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struct TargetAssignFunctor {
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const T* in_;
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const int* match_indices_;
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const size_t* lod_;
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const int mismatch_value_;
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const int64_t N_;
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const int64_t M_;
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const int64_t P_;
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const int64_t K_;
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T* out_;
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WT* out_wt_;
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TargetAssignFunctor(const T* input, const int* match_indices,
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const size_t* lod, const int mismatch_value,
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const int64_t N, const int64_t M, const int64_t P,
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const int64_t K, T* out, WT* out_wt)
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: in_(input),
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match_indices_(match_indices),
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lod_(lod),
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mismatch_value_(mismatch_value),
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N_(N),
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M_(M),
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P_(P),
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K_(K),
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out_(out),
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out_wt_(out_wt) {}
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HOSTDEVICE void operator()(size_t i) const {
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int h = i / M_;
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int w = i - h * M_;
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size_t off = lod_[h];
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int id = match_indices_[i];
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T* out = out_ + i * K_;
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WT* out_wt = out_wt_ + i;
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if (id > -1) {
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int w_off = w % P_;
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const T* in = in_ + ((off + id) * P_ + w_off) * K_;
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for (int64_t k = 0; k < K_; ++k) {
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out[k] = in[k];
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}
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out_wt[0] = static_cast<WT>(1.);
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} else {
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for (int64_t k = 0; k < K_; ++k) {
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out[k] = static_cast<T>(mismatch_value_);
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}
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out_wt[0] = static_cast<WT>(0.);
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}
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}
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};
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template <typename DeviceContext, typename T, typename WT>
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struct NegTargetAssignFunctor {
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void operator()(const platform::DeviceContext& ctx, const int* neg_indices,
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const size_t* lod, const int N, const int M, const int K,
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const int mismatch_value, T* out, WT* out_wt) const;
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};
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template <typename DeviceContext, typename T, typename WT>
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class TargetAssignKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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auto* x = ctx.Input<framework::LoDTensor>("X");
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auto* match_indices = ctx.Input<framework::Tensor>("MatchIndices");
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auto* out = ctx.Output<framework::Tensor>("Out");
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auto* out_wt = ctx.Output<framework::Tensor>("OutWeight");
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PADDLE_ENFORCE_EQ(x->lod().size(), 1UL);
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int mismatch_value = ctx.Attr<int>("mismatch_value");
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const T* x_data = x->data<T>();
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const int* match_idx_data = match_indices->data<int>();
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T* out_data = out->mutable_data<T>(ctx.GetPlace());
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WT* out_wt_data = out_wt->mutable_data<WT>(ctx.GetPlace());
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int64_t n = match_indices->dims()[0];
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int64_t m = match_indices->dims()[1];
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int64_t p = x->dims()[1];
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int64_t k = x->dims()[2];
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auto x_lod = x->lod().back();
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size_t* x_lod_data = x_lod.MutableData(ctx.GetPlace());
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TargetAssignFunctor<T, WT> functor(x_data, match_idx_data, x_lod_data,
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mismatch_value, n, m, p, k, out_data,
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out_wt_data);
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auto& device_ctx = ctx.template device_context<DeviceContext>();
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platform::ForRange<DeviceContext> for_range(device_ctx, n * m);
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for_range(functor);
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auto* neg_indices = ctx.Input<framework::LoDTensor>("NegIndices");
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if (neg_indices) {
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PADDLE_ENFORCE_EQ(neg_indices->lod().size(), 1UL);
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const int* neg_idx_data = neg_indices->data<int>();
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auto neg_lod = neg_indices->lod().back();
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size_t* neg_lod_data = neg_lod.MutableData(ctx.GetPlace());
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NegTargetAssignFunctor<DeviceContext, T, WT> neg_trg_functor;
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neg_trg_functor(device_ctx, neg_idx_data, neg_lod_data, n, m, k,
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mismatch_value, out_data, out_wt_data);
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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