barry-jin commented on issue #20687:
URL: 
https://github.com/apache/incubator-mxnet/issues/20687#issuecomment-948924317


   Hi @matteosal, the implementations of executor are totally different between 
v1.6 and v2.0. In v1.6, we are using executor C-APIs exposed from backend 
([example](https://github.com/apache/incubator-mxnet/blob/c76593162c2a5e421243dd09a8c3cde044efaa3f/python/mxnet/executor.py#L150)),
 but in v2.0, we are using CachedOp APIs 
([example](https://github.com/apache/incubator-mxnet/blob/5f0efbbe33a1ef2af140e91a8fd367cd3bf92373/python/mxnet/executor.py#L183)).
 You could try to add some parameters when initializing 
[CachedOp](https://github.com/apache/incubator-mxnet/blob/5f0efbbe33a1ef2af140e91a8fd367cd3bf92373/python/mxnet/executor.py#L124)
 to do hybridization (reference: 
[ref1](https://github.com/apache/incubator-mxnet/blob/5f0efbbe33a1ef2af140e91a8fd367cd3bf92373/python/mxnet/gluon/block.py#L1391-L1406),
 
[ref2](https://github.com/apache/incubator-mxnet/pull/20462/files#diff-0b3b9d55159f8526d638cd6f3d571c1eeed96f3bcdc37492425a0749d5a3f208L124))
 to see the memory allocation optimizations. 
 Also, you can change 
[MXNET_GPU_MEM_POOL_TYPE](https://mxnet.apache.org/versions/master/api/faq/env_var)
 environment variable to try different memory pool types. 


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