Set weight size limit for PS mode.

mindspore/ccsrc/backend/kernel_compiler/cpu/ps/embedding_look_up_proxy_kernel.cc

@@ -29,6 +29,10 @@ void EmbeddingLookUpProxyKernel::InitKernel(const CNodePtr &kernel_node) {
   for (auto dim : input_shape) {
     input_dims_ *= dim;
   }
+  if (input_dims_ * sizeof(float) > INT_MAX) {
+    MS_LOG(EXCEPTION) << "PS mode embedding lookup max embedding table size is " << INT_MAX << ", current shape "
+                      << input_shape << " is too large.";
+  }
 
   if (mindspore::ps::Util::IsRoleOfWorker()) {
     key_ = AnfAlgo::GetNodeAttr<size_t>(kernel_node, kAttrPsKey);

mindspore/ccsrc/ps/parameter_server.h

@@ -486,7 +486,8 @@ void ParameterServer<T>::InitEmbeddingTable(
 
     // Init embedding weight
     const std::vector<size_t> &input_shapes = lookup->input_sizes();
-    size_t total_dims = std::accumulate(input_shapes.begin(), input_shapes.end(), 1, std::multiplies<size_t>());
+    size_t total_dims =
+      std::accumulate(input_shapes.begin(), input_shapes.end(), IntToSize(1), std::multiplies<size_t>());
     WeightPtr embedding = std::make_shared<Weight>(total_dims, 0);
     MS_EXCEPTION_IF_NULL(embedding);
     T *embedding_data = embedding->data();
@@ -732,7 +733,8 @@ void ParameterServer<T>::SyncEmbeddingTables() {
   for (auto embedding_table : embedding_tables_) {
     Key key = embedding_table.first;
     if (embedding_lookup_ops_.count(key) == 0) {
-      MS_LOG(EXCEPTION) << "Can't find look up PS kernel for key " << key;
+      MS_LOG(WARNING) << "Can't find look up PS kernel for key " << key;
+      continue;
     }
     auto lookup = embedding_lookup_ops_[key];
     const std::vector<size_t> &input_shapes = lookup->input_sizes();

mindspore/ccsrc/ps/worker.h

@@ -325,6 +325,9 @@ void Worker<T>::InitPSParamAndOptim(const std::string &param_name, const tensor:
   MS_EXCEPTION_IF_NULL(tensor);
   void *param_data = tensor->data_c();
   size_t param_size = LongToSize(tensor->data().nbytes());
+  if (param_size > INT_MAX) {
+    MS_LOG(EXCEPTION) << "PS mode max weight size is " << INT_MAX << ", " << param_name << " size is " << param_size;
+  }
   ShapeVector param_shape = tensor->shape_c();
 
   size_t param_key = GetParamKey(param_name);