add unit test, pass the unit test

paddle/fluid/operators/merge_ids_op.cc

@@ -73,6 +73,15 @@ class MergeIdsOp : public framework::OperatorWithKernel {
     }
     ctx->ShareLoD("Ids", "Out");
   }
+
+ private:
+  framework::OpKernelType GetExpectedKernelType(
+      const framework::ExecutionContext &ctx) const override {
+    return framework::OpKernelType(
+        framework::ToDataType(
+            ctx.MultiInput<framework::Tensor>("X").front()->type()),
+        ctx.GetPlace());
+  }
 };
 
 class MergeIdsOpInferVarType : public framework::VarTypeInference {
@@ -93,5 +102,4 @@ namespace ops = paddle::operators;
 REGISTER_OPERATOR(merge_ids, ops::MergeIdsOp, ops::MergeIdsOpMaker,
                   ops::MergeIdsOpInferVarType);
 REGISTER_OP_CPU_KERNEL(
-    merge_ids, ops::MergeIdsOpKernel<paddle::platform::CPUPlace, int64_t>,
-    ops::MergeIdsOpKernel<paddle::platform::CPUPlace, float>);
+    merge_ids, ops::MergeIdsOpKernel<paddle::platform::CPUPlace, float>);

paddle/fluid/operators/merge_ids_op.h

@@ -30,6 +30,7 @@ class MergeIdsOpKernel : public framework::OpKernel<T> {
     if (!platform::is_cpu_place(place)) {
       PADDLE_THROW("MergeIds do not support GPU kernel");
     }
+    VLOG(3) << "run in MergeIdsOpKernel";
 
     const auto *ids_var = ctx.InputVar("Ids");
     PADDLE_ENFORCE(ids_var->IsType<framework::LoDTensor>(),
@@ -37,7 +38,7 @@ class MergeIdsOpKernel : public framework::OpKernel<T> {
 
     const auto &ids_tensor = ids_var->Get<framework::LoDTensor>();
     const auto &ids_dims = ids_tensor.dims();
-    const T *ids = ids_tensor.data<T>();
+    const int64_t *ids = ids_tensor.data<int64_t>();
 
     auto x_tensors = ctx.MultiInput<framework::LoDTensor>("X");
 
@@ -49,9 +50,11 @@ class MergeIdsOpKernel : public framework::OpKernel<T> {
       if (embedding_size == 0) {
         embedding_size = input->dims()[1];
       }
-      PADDLE_ENFORCE_EQ(embedding_size, input->dims()[1],
-                        "embedding size of all input should be the same");
-      batch_size += input->dims()[0];
+      if (framework::product(input->dims()) != 0) {
+        PADDLE_ENFORCE_EQ(embedding_size, input->dims()[1],
+                          "embedding size of all input should be the same");
+        batch_size += input->dims()[0];
+      }
     }
     PADDLE_ENFORCE_EQ(
         batch_size, ids_dims[0],
@@ -61,13 +64,14 @@ class MergeIdsOpKernel : public framework::OpKernel<T> {
 
     if (shard_num == 1) {
       VLOG(3) << "only one shard, we can copy the data directly";
-      TensorCopy(ids_tensor, place, out);
+      TensorCopy(*x_tensors[0], place, out);
     } else {
       std::vector<int> in_indexs(shard_num, 0);
-      auto *out_data = out->mutable_data<T>(ids_dims, place);
+      auto *out_data = out->mutable_data<T>(
+          framework::make_ddim({batch_size, embedding_size}), place);
       // copy data from ins[shard_num] to out.
       for (int i = 0; i < ids_dims[0]; ++i) {
-        T id = ids[i];
+        int64_t id = ids[i];
         size_t shard_id = static_cast<size_t>(id) % shard_num;
         int index = in_indexs[shard_id];
         memcpy(out_data + embedding_size * i,
@@ -75,6 +79,11 @@ class MergeIdsOpKernel : public framework::OpKernel<T> {
                sizeof(T) * embedding_size);
         in_indexs[shard_id] += 1;
       }
+
+      for (int i = 0; i < shard_num; ++i) {
+        PADDLE_ENFORCE_EQ(in_indexs[i], x_tensors[i]->dims()[0],
+                          "after merge, all data in x_tensor should be used");
+      }
     }
   }
 };

python/paddle/fluid/tests/unittests/test_merge_ids_op.py

+#   Copyright (c) 2018 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.
+
+import unittest
+import numpy as np
+from op_test import OpTest
+
+
+class TestMergeIdsOp(OpTest):
+    def setUp(self):
+        self.op_type = "merge_ids"
+        ids = np.array([[0], [2], [2], [3], [5], [5], [6]]).astype('int64')
+        x0 = np.array([[0.1, 0.2], [0.2, 0.3], [0.3, 0.4]]).astype('float32')
+        x1 = np.array([]).astype('float32')
+        x2 = np.array([[0.4, 0.5], [0.4, 0.5], [0.5, 0.6],
+                       [0.5, 0.6]]).astype('float32')
+        out = np.array([[0.1, 0.2], [0.4, 0.5], [0.4, 0.5], [0.2, 0.3],
+                        [0.5, 0.6], [0.5, 0.6], [0.3, 0.4]]).astype('float32')
+        self.inputs = {'Ids': ids, "X": [('x0', x0), ('x1', x1), ('x2', x2)]}
+        self.outputs = {'Out': out}
+
+    def test_check_output(self):
+        self.check_output()
+
+
+if __name__ == '__main__':
+    unittest.main()