fix eigen in push sparse; fix hadoop command (#26872)

* fix eigen in push sparse; fix hadoop command
test=develop

* add log in load_combine_op
test=develop

paddle/fluid/framework/data_set.cc

@@ -95,9 +95,10 @@ void DatasetImpl<T>::SetHdfsConfig(const std::string& fs_name,
                                    const std::string& fs_ugi) {
   fs_name_ = fs_name;
   fs_ugi_ = fs_ugi;
-  std::string cmd = std::string("hadoop fs");
+  std::string cmd = std::string("$HADOOP_HOME/bin/hadoop fs");
   cmd += " -D fs.default.name=" + fs_name;
   cmd += " -D hadoop.job.ugi=" + fs_ugi;
+  cmd += " -Ddfs.client.block.write.retries=15 -Ddfs.rpc.timeout=500000";
   paddle::framework::hdfs_set_command(cmd);
 }
 

paddle/fluid/framework/fleet/fleet_wrapper.cc

@@ -857,7 +857,7 @@ void FleetWrapper::PushSparseVarsWithLabelAsync(
     float* g = g_tensor->data<float>();
 
     if (scale_sparse_gradient_with_batch_size_ && grad_dim > 0) {
-      int dim = emb_dim + offset;
+      int dim = emb_dim;
       Eigen::Map<
           Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor>>
           g_mat(g, g_tensor->numel() / dim, dim);

paddle/fluid/operators/load_combine_op.h

@@ -70,6 +70,7 @@ class LoadCombineOpKernel : public framework::OpKernel<T> {
     auto out_vars = context.MultiOutputVar("Out");
 
     for (size_t i = 0; i < out_var_names.size(); i++) {
+      VLOG(4) << "loading tensor: " << out_var_names[i];
       PADDLE_ENFORCE_NOT_NULL(
           out_vars[i], platform::errors::InvalidArgument(
                            "The variable %s to be loaded cannot be found.",