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This repository was archived by the owner on Apr 8, 2026. It is now read-only.
I am executing tf_train.py (num_gpus=1). In forward function for two for loops it is running fine for i=0,j=0;i=0,j=1; but continuously it is taking huge memory. For i=1,j=0 of for loop in forward function it calls sub_layer.up which in turn calls conv2d, it got almost very slow and memory space is increasing at execution of line no. 49 (layer.py) of con2d function. Anyone please help me to resolve this increased memory issue.
I am executing tf_train.py (num_gpus=1). In forward function for two for loops it is running fine for i=0,j=0;i=0,j=1; but continuously it is taking huge memory. For i=1,j=0 of for loop in forward function it calls sub_layer.up which in turn calls conv2d, it got almost very slow and memory space is increasing at execution of line no. 49 (layer.py) of con2d function. Anyone please help me to resolve this increased memory issue.