finish unittest.

paddle/gserver/layers/CrossEntropyOverBeam.cpp

@@ -22,6 +22,7 @@ bool CrossEntropyOverBeam::init(const LayerMap& layerMap,
                                 const ParameterMap& parameterMap) {
   /* Initialize the basic parent class */
   Layer::init(layerMap, parameterMap);
+  CHECK_EQ(0U, inputLayers_.size() % 3) << "Error input number.";
 
   setNeedSequenceInfo(false);
 

paddle/gserver/tests/test_CrossEntropyOverBeamGrad.cpp

@@ -12,6 +12,7 @@ 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. */
 
+#include <random>
 #include <sstream>
 
 #include <gtest/gtest.h>
@@ -27,6 +28,10 @@ using namespace paddle;  // NOLINT
 DECLARE_int32(gpu_id);
 DECLARE_bool(thread_local_rand_use_global_seed);
 
+const size_t MAX_SEQ_NUM = 10;
+const size_t MAX_SEQ_LEN = 27;
+const size_t MAX_BEAM_SIZE = 10;
+
 struct SingleBeamExpansion {
   vector<int> seqStartPos;
   vector<int> subSeqStartPos;
@@ -34,37 +39,195 @@ struct SingleBeamExpansion {
 
   // TODO(caoying): store this into Argument.ids
   vector<real> selectedIndices;
+
   vector<int> groundTruth;
-  vector<int> labelSeqStartPos;
+  vector<size_t> inBeam;
+  vector<int> rowIdxInBeam;
 };
 
-void genCandidateScores(bool hasSubSeq,
-                        vector<real>& scores,
-                        vector<int>& seqStartPos,
-                        vector<int>& subSeqStartPos) {}
+void genRand(real* numbers, size_t n) {
+  default_random_engine generator;
+  uniform_real_distribution<double> distribution(0.0, 1.0);
+  for (size_t i = 0; i < n; ++i) numbers[i] = distribution(generator);
+}
+
+vector<real> randSampling(real range, int n) {
+  CHECK_GE(range, n);
+  vector<real> num(range);
+  iota(begin(num), end(num), 0.);
+  if (range == n) return num;
+
+  random_shuffle(begin(num), end(num));
+  num.resize(n);
+  sort(begin(num), end(num));
+  return num;
+}
 
-void genSelectedIndicesAndGroundtruth(size_t beamSize,
+void genCandidateScores(bool hasSubseq,
+                        size_t beamSize,
+                        SingleBeamExpansion& prevBeam,
+                        SingleBeamExpansion& curBeam) {
+  vector<int>& seqStartPos = curBeam.seqStartPos;
+  seqStartPos.resize(1, 0);
+  vector<int>& subSeqStartPos = curBeam.subSeqStartPos;
+  subSeqStartPos.resize(1, 0);
+
+  srand((size_t)(time(NULL)));
+  // srand(1);
+  if (prevBeam.selectedIndices.size()) {
+    if (prevBeam.subSeqStartPos.size() > 1) {
+      int seqIdx = 1;
+      // samples in previous beam are nested sequences.
+      for (size_t i = 1; i < prevBeam.subSeqStartPos.size(); ++i) {
+        for (size_t j = 0; j < beamSize; ++j) {
+          if (prevBeam.selectedIndices[(i - 1) * beamSize + j] == -1.) break;
+          for (size_t k = 0; k < beamSize; ++k)
+            subSeqStartPos.push_back(1 + (rand() % MAX_SEQ_LEN) +
+                                     subSeqStartPos.back());
+        }
+        if (prevBeam.seqStartPos[seqIdx] == prevBeam.subSeqStartPos[i]) {
+          seqStartPos.push_back(subSeqStartPos.back());
+          seqIdx++;
+        }
+      }
+    } else {
+      // samples in previous beam are sequences.
+      for (size_t i = 0; i <= prevBeam.selectedIndices.size(); ++i) {
+        if (i && i % beamSize == 0) {
+          seqStartPos.push_back(subSeqStartPos.back());
+          if (i == prevBeam.selectedIndices.size()) break;
+        }
+        if (prevBeam.selectedIndices[i] == -1.) continue;
+        subSeqStartPos.push_back(subSeqStartPos.back() +
+                                 (1 + (rand() % MAX_SEQ_LEN)));
+      }
+    }
+  } else {
+    // the first beam expansion
+    int seqNum = 1 + (rand() % MAX_SEQ_NUM);
+    for (int i = 0; i < seqNum; ++i) {
+      if (hasSubseq) {
+        for (size_t j = 0; j < 1 + (rand() % MAX_SEQ_NUM); ++j)
+          subSeqStartPos.push_back(subSeqStartPos.back() +
+                                   (1 + (rand() % MAX_SEQ_LEN)));
+        seqStartPos.push_back(subSeqStartPos.back());
+      } else {
+        seqStartPos.push_back(seqStartPos.back() +
+                              (1 + (rand() % MAX_SEQ_LEN)));
+      }
+    }
+  }
+
+  size_t totalSeqNum = hasSubseq ? subSeqStartPos.back() : seqStartPos.back();
+  curBeam.candidateScores.resize(totalSeqNum, 0.);
+  genRand(curBeam.candidateScores.data(), totalSeqNum);
+}
+
+void genSelectedIndices(size_t beamSize,
                         vector<int>& seqStartPos,
-                                      vector<real>& selectedIndices) {}
-
-SingleBeamExpansion genOneBeam(size_t beamSize, bool hasSubSeq) {
-  SingleBeamExpansion beam;
-  genCandidateScores(
-      hasSubSeq, beam.candidateScores, beam.seqStartPos, beam.subSeqStartPos);
-  genSelectedIndicesAndGroundtruth(
-      beamSize,
-      hasSubSeq ? beam.subSeqStartPos : beam.seqStartPos,
-      beam.selectedIndices);
-  return beam;
+                        vector<real>& selectedIndices) {
+  size_t selectedIdsCount = beamSize * (seqStartPos.size() - 1);
+  selectedIndices.resize(selectedIdsCount, -1.);
+
+  for (size_t i = 0; i < seqStartPos.size() - 1; ++i) {
+    int seqLen = seqStartPos[i + 1] - seqStartPos[i];
+    int n = min(seqLen, static_cast<int>(beamSize));
+    vector<real> ids = randSampling(seqLen, n);
+    memcpy(selectedIndices.data() + i * beamSize,
+           ids.data(),
+           sizeof(real) * ids.size());
+  }
+}
+
+void genGroundTruth(vector<SingleBeamExpansion>& beamExpansions,
+                    size_t beamSize) {
+  size_t seqNum = beamExpansions[1].seqStartPos.size() - 1;
+  for (size_t i = 2; i < beamExpansions.size(); ++i)
+    CHECK_EQ(seqNum, beamExpansions[i - 1].seqStartPos.size() - 1);
+
+  // srand(1);
+  srand((size_t)(time(NULL)));
+
+  // initialize the first beam.
+  SingleBeamExpansion& beam = beamExpansions[1];
+  beam.groundTruth.resize(seqNum, 0);
+  beam.inBeam.resize(seqNum, 0);
+  beam.rowIdxInBeam.resize(seqNum, -1);
+
+  auto begPos = beam.selectedIndices.begin();
+  for (size_t i = 0; i < seqNum; ++i) {
+    int seqLen = beam.seqStartPos[i + 1] - beam.seqStartPos[i];
+    int label = rand() % seqLen;
+    auto endPos = begPos + beamSize;
+    beam.groundTruth[i] = label;
+    if (find(begPos, endPos, real(label)) != endPos) beam.inBeam[i] = 1;
+    begPos = endPos;
+    beam.rowIdxInBeam[i] = i;
+  }
+
+  // iterate over each beam expansions
+  for (size_t i = 2; i < beamExpansions.size(); ++i) {
+    SingleBeamExpansion& curBeam = beamExpansions[i];
+    SingleBeamExpansion& prevBeam = beamExpansions[i - 1];
+
+    curBeam.groundTruth.resize(seqNum, 0);
+    curBeam.inBeam.resize(seqNum, 0);
+    curBeam.rowIdxInBeam.resize(seqNum, -1);
+
+    // iterate over each sequence
+    for (size_t j = 0; j < seqNum; ++j) {
+      if (prevBeam.inBeam[j]) {
+        // gold sequence falls in the beam in previous search.
+
+        auto begPos = prevBeam.selectedIndices.begin();
+        auto endPos = begPos + prevBeam.rowIdxInBeam[j] * beamSize;
+        size_t totalExpansion =
+            prevBeam.rowIdxInBeam[j] * beamSize - count(begPos, endPos, -1.);
+        curBeam.rowIdxInBeam[j] = totalExpansion + prevBeam.groundTruth[j];
+
+        CHECK_LE(curBeam.rowIdxInBeam[j] + 1,
+                 curBeam.subSeqStartPos.size() - 1);
+        int start = curBeam.subSeqStartPos[curBeam.rowIdxInBeam[j]];
+        int end = curBeam.subSeqStartPos[curBeam.rowIdxInBeam[j] + 1];
+        CHECK_GT(size_t(end), size_t(start));
+        int label = rand() % (end - start);
+
+        curBeam.groundTruth[j] = label;
+        auto findBeg = curBeam.selectedIndices.begin() +
+                       curBeam.rowIdxInBeam[j] * beamSize;
+        auto findEnd = findBeg + beamSize;
+        if (find(findBeg, findEnd, real(label)) != findEnd)
+          curBeam.inBeam[j] = 1;
+      } else {
+        // in previous search, gold sequence has fallen off the beam,
+        // the beam search stops, here use -1 as a dummy label.
+        // It will not used in calculation the cost.
+        beamExpansions[i].groundTruth[j] = -1;
+      }
+    }
+  }
+}
+
+void genOneBeam(size_t beamSize,
+                bool hasSubseq,
+                SingleBeamExpansion& prevBeam,
+                SingleBeamExpansion& curBeam) {
+  genCandidateScores(hasSubseq, beamSize, prevBeam, curBeam);
+  genSelectedIndices(beamSize,
+                     hasSubseq ? curBeam.subSeqStartPos : curBeam.seqStartPos,
+                     curBeam.selectedIndices);
 }
 
 void genRandomBeamExpansion(size_t expansionCount,
                             size_t beamSize,
                             vector<SingleBeamExpansion>& beamExpansions) {
   beamExpansions.clear();
-  for (size_t i = 0; i < expansionCount; ++i) {
-    beamExpansions.emplace_back(genOneBeam(beamSize, i));
-  }
+  beamExpansions.resize(expansionCount + 1);
+
+  // beamExpansions[0] is reserved.
+  for (size_t i = 1; i <= expansionCount; ++i)
+    genOneBeam(beamSize, bool(i - 1), beamExpansions[i - 1], beamExpansions[i]);
+  genGroundTruth(beamExpansions, beamSize);
 }
 
 void testCrossEntropyOverBeam(bool useGpu) {
@@ -72,12 +235,12 @@ void testCrossEntropyOverBeam(bool useGpu) {
   config.layerConfig.set_type("cross_entropy_over_beam");
 
   const size_t expansionCount = 3;
-  const size_t beamSize = 3;
+  const size_t beamSize = MAX_BEAM_SIZE;
   vector<SingleBeamExpansion> beams;
   genRandomBeamExpansion(expansionCount, beamSize, beams);
 
   size_t seqNum = 0;
-  for (size_t i = 0; i < beams.size(); ++i) {
+  for (size_t i = 1; i < beams.size(); ++i) {
     const SingleBeamExpansion& beam = beams[i];
     // create scores for all the candidates
     MatrixPtr candidateScorePtr =
@@ -88,7 +251,7 @@ void testCrossEntropyOverBeam(bool useGpu) {
     ostringstream paramName;
     paramName << "candidate_scores_" << i;
 
-    if (beam.subSeqStartPos.size()) {
+    if (beam.subSeqStartPos.size() > 1) {
       seqNum = beam.subSeqStartPos.size() - 1;
       config.inputDefs.push_back({INPUT_SELF_DEFINE_DATA,
                                   paramName.str(),
@@ -118,10 +281,9 @@ void testCrossEntropyOverBeam(bool useGpu) {
     // create the ground truth
     paramName.clear();
     paramName << "label_" << i;
-    config.inputDefs.push_back({INPUT_SELF_DEFINE_DATA,
-                                paramName.str(),
-                                beam.groundTruth,
-                                beam.labelSeqStartPos});
+    config.inputDefs.push_back(
+        {INPUT_SELF_DEFINE_DATA, paramName.str(), beam.groundTruth});
+    config.layerConfig.add_inputs();
   }
 
   testLayerGrad(