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Posted to commits@tvm.apache.org by "MrJungle1 (via GitHub)" <gi...@apache.org> on 2025/01/23 05:33:13 UTC

Re: [PR] [vm] add support for customized allocator [tvm]

MrJungle1 commented on PR #7763:
URL: https://github.com/apache/tvm/pull/7763#issuecomment-2608898919

   > After trying the VM in TVM, I found that the default memory allocator(PooledAllocator) doesn't work very well: in case of dynamic inputs, the size of used buffers are different from inference to inference and PooledAllocator cached buffers based on the size. Therefore, it ends with out of device memory.
   
   @MuchToMyDelight Hello, I have the same problem on the mobile. Is there any way to solve it.


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