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Hi @wuyifan18 , thank you for the great tool. It works perfectly with a very small dataset, but whenever I try running it with a larger dataset I get this error during the training phase:
[enforce fail at CPUAllocator.cpp:64] . DefaultCPUAllocator: can't allocate memory: you tried to allocate 278528000 bytes. Error code 12 (Cannot allocate memory)
My machine has large RAM but I am not sure why is this happening or how can I resolve this issue? Or how can we edit the code so that we use less memory space with each epoch? now each epoch takes approximately 1 GB of memory.
Any suggestion is highly appreciated.
Thanks
The text was updated successfully, but these errors were encountered:
@wuyifan18 Is there any way to make the code run faster (especially the training code) for a very large dataset? Currently, it is taking about 1 hour for each epoch with either a GPU or a CPU.
Hi @wuyifan18 , thank you for the great tool. It works perfectly with a very small dataset, but whenever I try running it with a larger dataset I get this error during the training phase:
[enforce fail at CPUAllocator.cpp:64] . DefaultCPUAllocator: can't allocate memory: you tried to allocate 278528000 bytes. Error code 12 (Cannot allocate memory)
My machine has large RAM but I am not sure why is this happening or how can I resolve this issue? Or how can we edit the code so that we use less memory space with each epoch? now each epoch takes approximately 1 GB of memory.
Any suggestion is highly appreciated.
Thanks
The text was updated successfully, but these errors were encountered: