Gahow Wang
4088f49b7d
- Thread-local launch stream (xserv_cuda::stream): every kernel wrapper, cublasSetStream, and NCCL collective now launches on current_stream_raw() — the legacy null stream by default (behavior unchanged), or the capture stream installed via push_stream during graph capture. Capture is impossible on the legacy stream. - Allocator retain mode: blocks freed inside a retain window are quarantined (RetainedBlocks) instead of pooled, so an instantiated graph keeps exclusive ownership of every intermediate buffer it references across replays. - Capture mode GLOBAL -> THREAD_LOCAL: concurrent TP rank threads must not poison each other's captures with their own cudaMallocs. - embedding_device_ids / rope_inplace_device_pos: variants reading token ids / positions from persistent device buffers, replacing the per-call host upload that a captured region cannot contain. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
30 lines
1.1 KiB
Rust
30 lines
1.1 KiB
Rust
pub mod activation;
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pub mod argmax;
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pub mod attention;
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pub mod dispatch;
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pub mod embedding;
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pub mod gemm;
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pub mod layernorm;
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pub mod moe;
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pub mod quantization;
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pub mod rmsnorm;
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pub mod rope;
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pub mod softmax;
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pub mod transpose;
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pub use activation::{add, bias_add_2d, gelu, gpt_oss_glu, mul, scale, silu, silu_mul};
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pub use argmax::{argmax_bf16_single, argmax_bf16_to_host};
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pub use transpose::{merge_heads_gpu, repeat_kv_gpu, reshape_heads_gpu, strided_to_contiguous_gpu, transpose_for_rope_gpu, transpose_from_rope_gpu};
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pub use attention::{attention, decode_attention, flash_attention, flash_attention_sinks, paged_decode_attention, paged_decode_attention_sinks, reshape_and_cache_bf16, reshape_and_cache_batched_bf16};
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pub use embedding::{embedding, embedding_device_ids};
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pub use gemm::{batched_matmul, matmul, GemmBackend};
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pub use layernorm::layernorm;
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pub use rmsnorm::{add_rmsnorm, rmsnorm};
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pub use rope::{rope_inplace, rope_inplace_device_pos, RopeCache};
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pub use softmax::softmax;
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/// Register GPU kernels with the tensor crate. Call once at startup.
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pub fn init() {
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xserv_tensor::register_gpu_contiguous(strided_to_contiguous_gpu);
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}
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