embedding lookup auto parallel

mindspore/ccsrc/frontend/parallel/step_auto_parallel.cc

@@ -264,7 +264,8 @@ bool IsSplittableOperator(const std::string &op_name) {
      MAX_POOL_WITH_ARGMAX, SIMPLE_MEAN, FLATTEN, BATCH_NORM, LAYER_NORM, BIAS_ADD, ASSIGN_SUB, COS, ACOS, EXP,
      LOG, REDUCE_MEAN, REAL_DIV, SIGMOID, POW, MAXIMUM, MINIMUM, EQUAL, NOT_EQUAL, LOGICALNOT, GATHERV2, SQRT, CONCAT,
      STRIDEDSLICE, GET_NEXT, CAST, NEG, SQUARE, BATCH_MATMUL, EXPAND_DIMS, SQUEEZE, SPARSE_GATHERV2, TILE, DROPOUT,
-     SOFTMAX_CROSS_ENTROPY_WITH_LOGITS, SIGMOID_CROSS_ENTROPY_WITH_LOGITS, SPARSE_SOFTMAX_CROSS_ENTROPY_WITH_LOGITS};
+     SOFTMAX_CROSS_ENTROPY_WITH_LOGITS, SIGMOID_CROSS_ENTROPY_WITH_LOGITS, SPARSE_SOFTMAX_CROSS_ENTROPY_WITH_LOGITS,
+     EMBEDDING_LOOKUP};
   // clang-format on
 
   auto iter = splittable_op.find(op_name);

tests/ut/python/parallel/test_manual_embedding_lookup.py

@@ -115,6 +115,13 @@ def test_auto_parallel_error():
         compile_net(net)
 
 
+def test_auto_parallel():
+    context.set_context(save_graphs=True)
+    context.set_auto_parallel_context(parallel_mode="auto_parallel", device_num=2, global_rank=0)
+    net = Net(split_string="fake")
+    compile_net(net)
+
+
 def test_axis_error():
     context.set_auto_parallel_context(parallel_mode="semi_auto_parallel", device_num=2, global_rank=0)
     strategy1 = ((2, 1), (1, 2))