Implement Argmax Inference Instead of Softmax when 'has_regions' is False #2356
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Issue: I have encountered a memory consumption issue in my Docker setup during inference tasks. Specifically, when the shm-size is set to 30GB, the system can successfully process softmax operations on input tensors of size [24, 724, 435, 435]. However, reducing the shm-size to 15GB leads to the unexpected termination of the Docker container due to insufficient shared memory during softmax computation.
Solution: Implement argmax instead of softmax when the 'has_regions' flag is set to False. This change is intended to address the shared memory (shm-size) constraints within Docker environments. It has been observed that the Docker container can handle the computation effectively, even with the shm-size set to 0, after making the proposed change.