[None][fix] Make tile_tokens_dim calculation just in time before kernel launching. (#7529)

tile_tokens_dim directly depends on the num_token, which is a dynamic shape during tuning and inference. When AutoTuner prepares dummy tensors with different num_tokens, it does not update the value of tile_tokens_dim automatically. Therefore, the value stored in the AutoTuner cache is misaligned, which will introduce a lot of cache misses during inference, which hurts perf a lot.

To avoid this issue, we move the calculation of tile_tokens_dim right before kernel launching, so that the value of tile_tokens_dim is always up to date with the num_tokens of the current input tensor used for the kernel runner.

Also, the tile_tokens_dim is calculated based on the number of tokens of a tuned bucket, instead of the original token number. Because we only tune the value for the buckets, not for the raw input token number, to avoid unexpected misalignment between tile_tokens_dim and the token number.

This PR also removes the warmup requests with the extra input shapes, which are triggered in the CUDA graph warmup phase.

Signed-off-by: Yukun He <[email protected]>

Author: hyukn