sxjscience commented on pull request #18987:
URL: https://github.com/apache/incubator-mxnet/pull/18987#issuecomment-679454243


   I think CNNs are generally static shape while models in NLP are generally 
dynamic shape. Do we have any plan for improving the memory usage?
   
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   ________________________________
   From: Sheng Zha <[email protected]>
   Sent: Monday, August 24, 2020 6:30:41 PM
   To: apache/incubator-mxnet <[email protected]>
   Cc: Xingjian SHI <[email protected]>; Mention 
<[email protected]>
   Subject: Re: [apache/incubator-mxnet] [ENV] update runtime setting default 
values (#18987)
   
   
   @szha commented on this pull request.
   
   ________________________________
   
   In 
src/storage/storage.cc<https://github.com/apache/incubator-mxnet/pull/18987#discussion_r476040201>:
   
   > @@ -67,8 +67,9 @@ StorageManager *CreateStorageManager(const Context &ctx, 
const char *context,
                                         int num_gpu_device, std::string 
*pStrategy) {
      const auto env_var = env_var_name(context, pool_type);
      const char *type = getenv(env_var.c_str());
   -  if (type == nullptr)
   -    type = "Naive";   // default pool
   +  if (type == nullptr) {
   +    type = "Round";   // default pool
   
   
   My hope is of course to provide a good out-of-the-box usage experience to 
mxnet users. From what I observed, there seems to be more models with dynamic 
shape inputs than static ones, and many of the static-shape models can still 
run in this setting, hence the proposal.
   
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