Comments (2)
aws-taylor
commented on July 25, 2024
Hello Tyler,
We have been able to reproduce this issue on our end and have opened a ticket internally. In general, we support batch sizes up to 4, however this particular network triggered an edge case in our memory allocator. We will work to fix this issue in a near release.
Regards,
Taylor
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jeffhataws
commented on July 25, 2024
Current compiler limitations mean batching with FP32 has different behavior compared to batching with FP16 because it take more memory to store the input data, so only ResNet50 FP32 batch=1 is compilable. Please see https://github.com/aws/aws-neuron-sdk/blob/master/docs/technotes/performance-tuning.md for more information on how to increase batch size with FP16 graph.
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