eager_utils_test.cc 9.8 KB
Newer Older
1 2 3 4 5 6 7 8 9 10 11 12 13 14
// Copyright (c) 2021 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.

15
#include <sstream>
16 17 18

#include "gtest/gtest.h"

19
#include "paddle/fluid/eager/accumulation/accumulation_node.h"
20
#include "paddle/fluid/eager/eager_tensor.h"
21 22 23 24 25
#include "paddle/fluid/eager/grad_node_info.h"
#include "paddle/fluid/eager/tests/data_structure_tests/grad_node_test.h"
#include "paddle/fluid/eager/tests/test_utils.h"
#include "paddle/fluid/eager/utils.h"

26 27
#include "paddle/pten/api/lib/utils/allocator.h"

28
namespace egr {
29 30 31

TEST(EagerUtils, AutoGradMeta) {
  // Construct Eager Tensor
32 33
  pten::DenseTensorMeta meta =
      pten::DenseTensorMeta(pten::DataType::FLOAT32, pten::make_ddim({1, 1}));
34
  std::shared_ptr<pten::DenseTensor> dt0 = std::make_shared<pten::DenseTensor>(
35 36 37
      std::make_unique<paddle::experimental::DefaultAllocator>(
          paddle::platform::CPUPlace())
          .get(),
38
      meta);
39
  dt0->mutable_data<float>(paddle::platform::CPUPlace())[0] = 10.0;
40
  paddle::experimental::Tensor et0 = paddle::experimental::Tensor(dt0);
41 42

  std::shared_ptr<pten::DenseTensor> dt1 = std::make_shared<pten::DenseTensor>(
43 44 45
      std::make_unique<paddle::experimental::DefaultAllocator>(
          paddle::platform::CPUPlace())
          .get(),
46
      meta);
47
  dt1->mutable_data<float>(paddle::platform::CPUPlace())[0] = 20.0;
48
  paddle::experimental::Tensor et1 = paddle::experimental::Tensor(dt1);
49 50 51 52 53 54 55 56 57 58

  // unsafe_autograd_meta()
  // autograd_meta()
  AutogradMeta* autograd_meta0 = EagerUtils::autograd_meta(&et0);
  AutogradMeta* autograd_meta1 = EagerUtils::autograd_meta(&et1);

  AutogradMeta* unsafe_autograd_meta_after =
      EagerUtils::unsafe_autograd_meta(et0);
  CHECK_NOTNULL(unsafe_autograd_meta_after);

59 60 61 62
  // NOTE: Since autograd_meta will be copied make sure it's not null
  std::vector<paddle::experimental::Tensor> ets = {et0, et1};
  auto test_node = std::make_shared<eager_test::GradTestNode>();

63
  std::vector<AutogradMeta*> autograd_metas = EagerUtils::autograd_meta(&ets);
64
  std::vector<AutogradMeta*> unsafe_autograd_metas =
65
      EagerUtils::unsafe_autograd_meta(ets);
66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103
  CHECK_NOTNULL(unsafe_autograd_metas[0]);
  CHECK_NOTNULL(unsafe_autograd_metas[1]);

  // Set Autograd Meta
  autograd_meta0->SetSingleOutRankWithSlot(0, 1);

  autograd_meta0->SetGradNode(test_node);

  // OutRankInfo()
  std::pair<size_t, size_t> out_rank_info0 = EagerUtils::OutRankInfo(et0);
  CHECK_EQ(static_cast<int>(out_rank_info0.first), 0);
  CHECK_EQ(static_cast<int>(out_rank_info0.second), 1);

  // grad_node()
  std::shared_ptr<GradNodeBase> grad_node0 = EagerUtils::grad_node(et0);
  CHECK_NOTNULL(grad_node0.get());

  EagerUtils::SetHistory(autograd_meta1, test_node);
  EagerUtils::SetHistory({autograd_meta1}, test_node);
  std::shared_ptr<GradNodeBase> grad_node1 = EagerUtils::grad_node(et1);
  CHECK_NOTNULL(grad_node1.get());

  // SetOutRankWithSlot()
  EagerUtils::SetOutRankWithSlot(autograd_meta1, 0);
  std::pair<size_t, size_t> out_rank_info1 = EagerUtils::OutRankInfo(et1);
  CHECK_EQ(static_cast<int>(out_rank_info1.first), 0);
  CHECK_EQ(static_cast<int>(out_rank_info1.second), 0);

  EagerUtils::SetOutRankWithSlot(&autograd_metas, 0);
  std::pair<size_t, size_t> out_rank_info2 = EagerUtils::OutRankInfo(et0);
  CHECK_EQ(static_cast<int>(out_rank_info2.first), 0);
  CHECK_EQ(static_cast<int>(out_rank_info2.second), 0);

  std::pair<size_t, size_t> out_rank_info3 = EagerUtils::OutRankInfo(et1);
  CHECK_EQ(static_cast<int>(out_rank_info3.first), 0);
  CHECK_EQ(static_cast<int>(out_rank_info3.second), 1);
}

104
template <typename T>
105 106
paddle::experimental::Tensor CreateTestCPUTensor(
    T val, const paddle::framework::DDim& ddim) {
107 108
  pten::DenseTensorMeta meta =
      pten::DenseTensorMeta(pten::DataType::FLOAT32, ddim);
109
  paddle::experimental::Tensor tensor;
110
  std::shared_ptr<pten::DenseTensor> dt = std::make_shared<pten::DenseTensor>(
111 112 113
      std::make_unique<paddle::experimental::DefaultAllocator>(
          paddle::platform::CPUPlace())
          .get(),
114
      meta);
115
  auto* dt_ptr = dt->mutable_data<T>(paddle::platform::CPUPlace());
116 117 118 119 120 121
  for (int64_t i = 0; i < dt->numel(); i++) {
    dt_ptr[i] = val;
  }
  tensor.set_impl(dt);
  return tensor;
}
122

123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167
TEST(EagerUtils, ComputeRequireGrad) {
  auto auto_grad0 = std::make_shared<egr::AutogradMeta>();
  auto auto_grad1 = std::make_shared<egr::AutogradMeta>();
  auto auto_grad2 = std::make_shared<egr::AutogradMeta>();
  auto auto_grad3 = std::make_shared<egr::AutogradMeta>();
  CHECK_EQ(auto_grad0->NumericStopGradient(), -1);
  VLOG(6) << "Single Test ComputeRequireGrad";
  auto_grad0->SetStopGradient(true);
  CHECK(egr::EagerUtils::ComputeRequireGrad(true, auto_grad0.get()) == false);
  CHECK(egr::EagerUtils::ComputeRequireGrad(false, auto_grad0.get()) == false);
  auto_grad0->SetStopGradient(false);
  CHECK(egr::EagerUtils::ComputeRequireGrad(false, auto_grad0.get()) == false);
  CHECK(egr::EagerUtils::ComputeRequireGrad(true, auto_grad0.get()) == true);

  VLOG(6) << "Multi Test ComputeRequireGrad";
  auto_grad0->SetStopGradient(false);
  auto_grad1->SetStopGradient(true);
  CHECK(egr::EagerUtils::ComputeRequireGrad(true, auto_grad0.get(),
                                            auto_grad1.get()) == true);
  CHECK(egr::EagerUtils::ComputeRequireGrad(false, auto_grad0.get(),
                                            auto_grad1.get()) == false);
  auto_grad0->SetStopGradient(true);
  CHECK(egr::EagerUtils::ComputeRequireGrad(true, auto_grad0.get(),
                                            auto_grad1.get()) == false);
  CHECK(egr::EagerUtils::ComputeRequireGrad(false, auto_grad0.get(),
                                            auto_grad1.get()) == false);
}

TEST(EagerUtils, PassStopGradient) {
  auto auto_grad0 = std::make_shared<egr::AutogradMeta>();
  auto auto_grad1 = std::make_shared<egr::AutogradMeta>();
  auto auto_grad2 = std::make_shared<egr::AutogradMeta>();
  auto auto_grad3 = std::make_shared<egr::AutogradMeta>();
  CHECK_EQ(auto_grad0->NumericStopGradient(), -1);
  VLOG(6) << "Test PassStopGradient";
  egr::EagerUtils::PassStopGradient(false, auto_grad0.get());
  CHECK(auto_grad0->StopGradient() == false);
  egr::EagerUtils::PassStopGradient(true, auto_grad0.get(), auto_grad1.get(),
                                    auto_grad2.get(), auto_grad3.get());
  CHECK(auto_grad0->StopGradient() == true);
  CHECK(auto_grad1->StopGradient() == true);
  CHECK(auto_grad2->StopGradient() == true);
  CHECK(auto_grad3->StopGradient() == true);
}

168
TEST(EagerUtils, TrySyncToVar) {
169
  paddle::framework::DDim ddim = pten::make_ddim({2, 4, 4, 4});
170
  auto tensor = CreateTestCPUTensor(5.0f, ddim);
171
  std::vector<std::shared_ptr<egr::EagerVariable>> var_bases = {
172
      egr::EagerUtils::TrySyncToVar(tensor)};
173 174 175 176 177 178 179 180 181 182 183 184 185

  paddle::framework::Variable* var = var_bases[0]->MutableVar();
  const auto& framework_tensor = var->Get<paddle::framework::LoDTensor>();

  const float* ptr = framework_tensor.data<float>();
  VLOG(6) << "Check Value for SyncToVarsSingle";
  CHECK_EQ(framework_tensor.numel(), tensor.numel());

  for (int i = 0; i < framework_tensor.numel(); i++) {
    CHECK_EQ(ptr[i], 5.0f);
  }
}

186
TEST(EagerUtils, TrySyncToVars) {
187
  paddle::framework::DDim ddim = pten::make_ddim({2, 4, 4, 4});
188 189
  std::vector<paddle::experimental::Tensor> tensors = {
      CreateTestCPUTensor(1.0f, ddim), CreateTestCPUTensor(2.0f, ddim)};
190

191
  std::vector<std::shared_ptr<egr::EagerVariable>> var_bases =
192
      egr::EagerUtils::TrySyncToVars(tensors);
193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219

  {
    paddle::framework::Variable* var = var_bases[0]->MutableVar();
    const auto& framework_tensor = var->Get<paddle::framework::LoDTensor>();

    const float* ptr = framework_tensor.data<float>();
    CHECK_EQ(framework_tensor.numel(), tensors[0].numel());

    for (int i = 0; i < framework_tensor.numel(); i++) {
      CHECK_EQ(ptr[i], 1.0);
    }
  }

  {
    paddle::framework::Variable* var = var_bases[1]->MutableVar();
    const auto& framework_tensor = var->Get<paddle::framework::LoDTensor>();

    const float* ptr = framework_tensor.data<float>();
    VLOG(6) << "Check Value for SyncToVarsMultiple";
    CHECK_EQ(framework_tensor.numel(), tensors[0].numel());

    for (int i = 0; i < framework_tensor.numel(); i++) {
      CHECK_EQ(ptr[i], 2.0);
    }
  }
}

220 221
TEST(EagerUtils, CreateVars) {
  VLOG(6) << "Check CreateVars";
222
  std::vector<std::shared_ptr<egr::EagerVariable>> outs =
223
      egr::EagerUtils::CreateVars(2);
224
  CHECK_EQ(outs.size(), size_t(2));
225
  CHECK(outs[0]->Var().IsInitialized() == false);
226
}
227

228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249
TEST(EagerUtils, GetGradAccumulationNode) {
  VLOG(6) << "Check GetGradAccumulationNode";
  paddle::experimental::Tensor t0("test_tensor");
  ASSERT_EQ(egr::EagerUtils::GetGradAccumulationNode(t0), nullptr);
  auto autograd_ptr0 = egr::EagerUtils::autograd_meta(&t0);
  autograd_ptr0->SetStopGradient(true);
  ASSERT_EQ(egr::EagerUtils::GetGradAccumulationNode(t0), nullptr);
  autograd_ptr0->SetStopGradient(false);
  auto res = std::dynamic_pointer_cast<egr::GradNodeAccumulation>(
      egr::EagerUtils::GetGradAccumulationNode(t0));
  ASSERT_TRUE(res != nullptr);
  auto res2 = egr::EagerUtils::GetGradAccumulationNode(t0);
  ASSERT_EQ(res2.get(), res.get());
  autograd_ptr0->SetStopGradient(true);
  auto res3 = egr::EagerUtils::GetGradAccumulationNode(t0);
  ASSERT_EQ(res3, nullptr);
  autograd_ptr0->SetStopGradient(false);
  autograd_ptr0->SetGradNode(
      std::make_shared<eager_test::GradTestNode>(1, 2.0, 3));
  ASSERT_ANY_THROW(egr::EagerUtils::GetGradAccumulationNode(t0));
}

250
}  // namespace egr