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106 lines
4.1 KiB
106 lines
4.1 KiB
/* Copyright (c) 2016 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/eigen.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/gather.h"
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#include "paddle/fluid/operators/scatter.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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template <typename T>
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class ScatterOpKernel : 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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PADDLE_ENFORCE(platform::is_cpu_place(ctx.GetPlace()),
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"This kernel only runs on CPU.");
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auto *X = ctx.Input<Tensor>("X");
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auto *Ids = ctx.Input<Tensor>("Ids");
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auto *Updates = ctx.Input<Tensor>("Updates");
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auto *Out = ctx.Output<Tensor>("Out");
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double overwrite = ctx.Attr<bool>("overwrite");
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// In place output: Out = X, Out[Ids] = Updates
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framework::TensorCopySync(*X, ctx.GetPlace(), Out);
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// Apply ScatterUpdate: Out[index] = Updates[:]
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const auto &index_type = Ids->type();
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bool index_type_match = index_type == framework::proto::VarType::INT32 ||
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index_type == framework::proto::VarType::INT64;
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PADDLE_ENFORCE(
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index_type_match,
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"Index holds the wrong type, it holds %s, but desires to be %s or %s",
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paddle::framework::DataTypeToString(index_type),
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paddle::framework::DataTypeToString(framework::proto::VarType::INT32),
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paddle::framework::DataTypeToString(framework::proto::VarType::INT64));
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if (overwrite) {
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if (index_type == framework::proto::VarType::INT32) {
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ScatterAssign<T, int32_t>(ctx.device_context(), *Updates, *Ids, Out);
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} else {
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ScatterAssign<T, int64_t>(ctx.device_context(), *Updates, *Ids, Out);
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}
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} else {
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if (index_type == framework::proto::VarType::INT32) {
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ScatterAssignAdd<T, int32_t>(ctx, *Updates, *Ids, Out);
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} else {
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ScatterAssignAdd<T, int64_t>(ctx, *Updates, *Ids, Out);
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}
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}
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}
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};
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template <typename T>
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class ScatterGradientOpKernel : 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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PADDLE_ENFORCE(platform::is_cpu_place(ctx.GetPlace()),
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"This kernel only runs on CPU.");
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auto *dX = ctx.Output<Tensor>(framework::GradVarName("X"));
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auto *dUpdates = ctx.Output<Tensor>(framework::GradVarName("Updates"));
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auto *Ids = ctx.Input<Tensor>("Ids");
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auto *dOut = ctx.Input<Tensor>(framework::GradVarName("Out"));
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if (dX) {
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// In place gradient: dX = dO
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framework::TensorCopySync(*dOut, ctx.GetPlace(), dX);
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}
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if (dUpdates) {
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dUpdates->mutable_data<T>(ctx.GetPlace());
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// Gradient by Gather: dUpdates = dO[Ids]
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const auto &index_type = Ids->type();
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bool index_type_match = index_type == framework::proto::VarType::INT32 ||
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index_type == framework::proto::VarType::INT64;
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PADDLE_ENFORCE_EQ(
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index_type_match, true,
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"scatter_op index holds the wrong type, it holds %s, but desires to "
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"be %s or %s",
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paddle::framework::DataTypeToString(index_type),
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paddle::framework::DataTypeToString(framework::proto::VarType::INT32),
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paddle::framework::DataTypeToString(
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framework::proto::VarType::INT64));
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if (index_type == framework::proto::VarType::INT32) {
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CPUGather<T, int32_t>(ctx.device_context(), *dOut, *Ids, dUpdates);
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} else {
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CPUGather<T, int64_t>(ctx.device_context(), *dOut, *Ids, dUpdates);
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}
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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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