Allow uneven shards for multi-GPU inference in vllm backend #494
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Signed-off-by: KiddoZhu <zhaochengz@nvidia.com>
Signed-off-by: Sahil Jain <48468750+SahilJain314@users.noreply.github.com>
SahilJain314
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…eMo#494) Signed-off-by: KiddoZhu <zhaochengz@nvidia.com> Signed-off-by: Sahil Jain <48468750+SahilJain314@users.noreply.github.com> Co-authored-by: Sahil Jain <48468750+SahilJain314@users.noreply.github.com>
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…eMo#494) Signed-off-by: KiddoZhu <zhaochengz@nvidia.com> Signed-off-by: Sahil Jain <48468750+SahilJain314@users.noreply.github.com> Co-authored-by: Sahil Jain <48468750+SahilJain314@users.noreply.github.com>
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The current implementation of
generate_textin vllm backend requires every batch to be sharded evenly across multiple GPUs. This prevents one from running evaluation on dataset that is not divisible by the number of GPUs.