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374 lines
13 KiB
374 lines
13 KiB
// Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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 <string>
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#include <vector>
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#include "paddle/fluid/framework/ddim.h"
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#include "paddle/fluid/framework/shape_inference.h"
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#include "paddle/fluid/framework/type_defs.h"
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#include "paddle/fluid/imperative/type_defs.h"
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#include "paddle/fluid/imperative/variable_wrapper.h"
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namespace paddle {
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namespace imperative {
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template <typename VarType>
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class DygraphInferShapeContext : public framework::InferShapeContext {
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using DDim = framework::DDim;
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public:
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DygraphInferShapeContext(const NameVarMap<VarType>* in,
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const NameVarMap<VarType>* out,
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const framework::AttributeMap* attr)
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: var_base_map_in_(in), var_base_map_out_(out), attrs_(attr) {}
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bool HasInput(const std::string& name) const override {
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// has only one input
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auto it = var_base_map_in_->find(name);
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if (it == var_base_map_in_->end()) {
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return false;
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}
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const auto& in = it->second;
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if (in.size() == 0) return false;
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PADDLE_ENFORCE_EQ(
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in.size(), 1UL,
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platform::errors::PreconditionNotMet(
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"Input %s should not have more than one inputs", name));
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return in[0] != nullptr;
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}
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bool HasOutput(const std::string& name) const override {
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// has only one output
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auto it = var_base_map_out_->find(name);
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if (it == var_base_map_out_->end()) {
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return false;
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}
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const auto& out = it->second;
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if (out.size() == 0) {
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return false;
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}
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PADDLE_ENFORCE_EQ(
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out.size(), 1UL,
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platform::errors::PreconditionNotMet(
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"Output %s should not have more than one outputs", name));
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return out[0] != nullptr;
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}
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bool HasInputs(const std::string& name) const override {
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auto it = var_base_map_in_->find(name);
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if (it == var_base_map_in_->end() || it->second.empty()) {
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return false;
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}
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for (auto& input : it->second) {
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if (input == nullptr) {
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return false;
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}
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}
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return true;
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}
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bool HasOutputs(const std::string& name) const override {
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auto it = var_base_map_out_->find(name);
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if (it == var_base_map_out_->end() || it->second.empty()) {
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return false;
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}
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for (auto& output : it->second) {
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if (output == nullptr) {
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return false;
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}
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}
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return true;
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}
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framework::AttrReader Attrs() const override {
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return framework::AttrReader(*attrs_);
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}
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std::vector<std::string> Inputs(const std::string& name) const override {
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std::vector<std::string> vec_res;
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auto it = var_base_map_in_->find(name);
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PADDLE_ENFORCE_NE(
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it, var_base_map_in_->end(),
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platform::errors::NotFound("can not find [%s] in input", name));
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vec_res.reserve(it->second.size());
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for (auto& var : it->second) {
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if (var) {
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vec_res.push_back(var->Name());
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} else {
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vec_res.push_back(framework::kEmptyVarName);
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}
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}
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return vec_res;
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}
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std::vector<std::string> Outputs(const std::string& name) const override {
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std::vector<std::string> vec_res;
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auto it = var_base_map_out_->find(name);
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PADDLE_ENFORCE_NE(
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it, var_base_map_out_->end(),
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platform::errors::NotFound("can not find [%s] in output", name));
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vec_res.reserve(it->second.size());
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for (auto& var : it->second) {
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if (var) {
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vec_res.push_back(var->Name());
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} else {
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vec_res.push_back(framework::kEmptyVarName);
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}
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}
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return vec_res;
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}
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void ShareDim(const std::string& in, const std::string& out, size_t i = 0,
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size_t j = 0) override {
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auto in_it = var_base_map_in_->find(in);
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auto out_it = var_base_map_out_->find(out);
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PADDLE_ENFORCE_NE(
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in_it, var_base_map_in_->end(),
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platform::errors::NotFound("can not found [%s] in input", in));
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PADDLE_ENFORCE_GT(in_it->second.size(), i,
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platform::errors::PreconditionNotMet(
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"Inputs %s should have %llu argument", in, i));
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PADDLE_ENFORCE_NE(
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out_it, var_base_map_out_->end(),
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platform::errors::NotFound("can not found [%s] in input", in));
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PADDLE_ENFORCE_GT(out_it->second.size(), j,
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platform::errors::PreconditionNotMet(
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"Outputs %s should have %llu argument", out, j));
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framework::Variable* in_var = in_it->second[i]->MutableVar();
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framework::Variable* out_var = out_it->second[j]->MutableVar();
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PADDLE_ENFORCE_EQ(in_var->Type(), out_var->Type(),
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platform::errors::PreconditionNotMet(
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"The type of %s and %s is not the same.", in, out));
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if (in_var->IsType<framework::LoDTensor>()) {
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auto& in_lod_tensor = in_var->Get<framework::LoDTensor>();
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auto* out_lod_tensor = out_var->GetMutable<framework::LoDTensor>();
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out_lod_tensor->Resize(in_lod_tensor.dims());
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} else {
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auto& in_sele_rows = in_var->Get<framework::SelectedRows>();
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auto out_sele_rows = out_var->GetMutable<framework::SelectedRows>();
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out_sele_rows->mutable_value()->Resize(in_sele_rows.value().dims());
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out_sele_rows->set_rows(in_sele_rows.rows());
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out_sele_rows->set_height(in_sele_rows.height());
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}
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}
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void ShareAllLoD(const std::string& in,
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const std::string& out) const override {
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// do nothing
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}
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void ShareLoD(const std::string& in, const std::string& out, size_t i = 0,
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size_t j = 0) const override {
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// do nothing
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}
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bool IsRuntime() const override { return true; }
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// TODO(paddle-dev): Can this be template?
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std::vector<framework::InferShapeVarPtr> GetInputVarPtrs(
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const std::string& name) override {
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PADDLE_THROW(platform::errors::PermissionDenied(
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"GetInputVarPtrs not support in dygraph runtime context"));
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}
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std::vector<framework::InferShapeVarPtr> GetOutputVarPtrs(
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const std::string& name) override {
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PADDLE_THROW(platform::errors::PermissionDenied(
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"GetOutputVarPtrs not support in dygraph runtime context"));
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}
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DDim GetInputDim(const std::string& name) const override {
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auto it = var_base_map_in_->find(name);
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PADDLE_ENFORCE_NE(
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it, var_base_map_in_->end(),
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platform::errors::NotFound("can not find [%s] in input", name));
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PADDLE_ENFORCE_EQ(
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it->second.size(), 1UL,
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platform::errors::PreconditionNotMet(
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"Input(%s) should hold one element, but now it holds %d", name,
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it->second.size()));
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return this->GetDim(it->second[0]->MutableVar());
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}
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std::vector<DDim> GetInputsDim(const std::string& name) const override {
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// const std::vector<Variable*>& vars = InputVars(name);
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std::vector<DDim> vec_res;
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auto it = var_base_map_in_->find(name);
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PADDLE_ENFORCE_NE(
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it, var_base_map_in_->end(),
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platform::errors::NotFound("can not find [%s] in output", name));
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vec_res.reserve(it->second.size());
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for (size_t i = 0; i < it->second.size(); ++i) {
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if (it->second[i]) {
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vec_res.emplace_back(GetDim(it->second[i]->MutableVar()));
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} else {
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vec_res.emplace_back();
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}
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}
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return vec_res;
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}
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std::vector<framework::proto::VarType::Type> GetInputsVarType(
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const std::string& name) const override {
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std::vector<framework::proto::VarType::Type> vec_res;
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auto it = var_base_map_in_->find(name);
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PADDLE_ENFORCE_NE(
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it, var_base_map_in_->end(),
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platform::errors::NotFound("can not find [%s] in input", name));
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vec_res.reserve(it->second.size());
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for (size_t i = 0; i < it->second.size(); ++i) {
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if (it->second[i]) {
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vec_res.emplace_back(
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framework::ToVarType(it->second[i]->MutableVar()->Type()));
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} else {
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vec_res.emplace_back();
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}
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}
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return vec_res;
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}
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std::vector<framework::proto::VarType::Type> GetOutputsVarType(
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const std::string& name) const override {
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std::vector<framework::proto::VarType::Type> vec_res;
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auto it = var_base_map_out_->find(name);
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PADDLE_ENFORCE_NE(
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it, var_base_map_out_->end(),
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platform::errors::NotFound("can not find [%s] in output", name));
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vec_res.reserve(it->second.size());
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for (size_t i = 0; i < it->second.size(); ++i) {
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if (it->second[i]) {
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vec_res.emplace_back(
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framework::ToVarType(it->second[i]->MutableVar()->Type()));
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} else {
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vec_res.emplace_back(static_cast<framework::proto::VarType::Type>(-1));
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}
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}
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return vec_res;
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}
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void SetOutputDim(const std::string& name, const DDim& dim) override {
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auto it = var_base_map_out_->find(name);
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PADDLE_ENFORCE_NE(
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it, var_base_map_out_->end(),
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platform::errors::NotFound("can not find [%s] in output", name));
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if (it->second[0]) {
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SetDim(it->second[0]->MutableVar(), dim);
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}
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}
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void SetOutputsDim(const std::string& name,
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const std::vector<DDim>& dims) override {
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auto it = var_base_map_out_->find(name);
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PADDLE_ENFORCE_NE(
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it, var_base_map_out_->end(),
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platform::errors::NotFound("can not find [%s] in output", name));
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PADDLE_ENFORCE_EQ(dims.size(), it->second.size(),
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platform::errors::InvalidArgument(
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"The number of dims is expected to be equal to the "
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"number of Outputs(%s). But receieved: the number of "
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"dims = %d, the number of Outputs(%s) = %d.",
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name, dims.size(), name, it->second.size()));
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for (size_t i = 0; i < dims.size(); ++i) {
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if (it->second[i]) {
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SetDim(it->second[i]->MutableVar(), dims[i]);
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}
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}
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}
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int32_t GetLoDLevel(const std::string& in, size_t i = 0) const override {
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PADDLE_THROW(platform::errors::PermissionDenied(
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"GetLoDLevel function not support in dygraph mode"));
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}
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void SetLoDLevel(const std::string& out, int32_t lod_level,
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size_t j = 0) const override {
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PADDLE_THROW(platform::errors::PermissionDenied(
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"SetLoDLevel function not support in dygraph mode"));
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}
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protected:
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DDim GetDim(framework::Variable* var) const {
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PADDLE_ENFORCE_NOT_NULL(var, platform::errors::PreconditionNotMet(
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"Input variable should not be null"));
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if (var->IsType<framework::LoDTensor>()) {
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return var->Get<framework::LoDTensor>().dims();
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} else if (var->IsType<framework::SelectedRows>()) {
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return var->Get<framework::SelectedRows>().GetCompleteDims();
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} else {
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PADDLE_THROW(platform::errors::PermissionDenied(
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"Only LoDTensor/SelectedRows support 'GetDim', but Variables "
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"type_id is xx."));
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}
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}
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std::vector<DDim> GetRepeatedDims(const std::string& name) const override {
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PADDLE_THROW(platform::errors::PermissionDenied(
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"GetRepeatedDims not support in dygraph runtime"));
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}
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void SetDim(framework::Variable* var, const DDim& dim) {
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if (var->IsType<framework::LoDTensor>()) {
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var->GetMutable<framework::LoDTensor>()->Resize(dim);
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} else if (var->IsType<framework::SelectedRows>()) {
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var->GetMutable<framework::SelectedRows>()->set_height(dim[0]);
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} else {
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PADDLE_THROW(platform::errors::PermissionDenied(
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"Variable type_id %s, expect LoDTensor/SelectedRows."));
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}
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}
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void SetDims(const std::vector<framework::Variable*>& vars,
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const std::vector<DDim>& dims) {
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size_t length = vars.size();
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PADDLE_ENFORCE_EQ(
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length, dims.size(),
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platform::errors::PreconditionNotMet(
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"Vars number [%d] should be equal with dims number [%d]", length,
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dims.size()));
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for (size_t i = 0; i < length; ++i) {
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if (vars[i] == nullptr) {
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continue;
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}
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SetDim(vars[i], dims[i]);
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}
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}
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void SetRepeatedDims(const std::string& name,
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const std::vector<DDim>& dims) override {
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PADDLE_THROW(platform::errors::PermissionDenied(
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"SetRepeatedDims not support in dygraph runtime"));
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}
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private:
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const NameVarMap<VarType>* var_base_map_in_;
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const NameVarMap<VarType>* var_base_map_out_;
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const framework::AttributeMap* attrs_;
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};
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} // namespace imperative
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} // namespace paddle
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