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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 15, 22:15 UTC

[ROCm][V1] Update reshape_and_cache to properly work with CUDA graph padding (#13922)

Sage Moore committed Feb 26, 2025 at 20:04 UTC 378b3ef6f834a2536fc01aa4cd89d09737232bac
1 file changed +1 -1
csrc/cache_kernels.cu
+1 -1
@@ -375,7 +375,7 @@ void reshape_and_cache(
375 torch::Tensor& slot_mapping, // [num_tokens]
376 const std::string& kv_cache_dtype, torch::Tensor& k_scale,
377 torch::Tensor& v_scale) {
378 - int num_tokens = key.size(0);
378 + int num_tokens = slot_mapping.size(0);
379 int num_heads = key.size(1);
380 int head_size = key.size(2);
381 int block_size = key_cache.size(3);