init v0.23.0

Signed-off-by: Sun Ruoxi <sunruoxi@4paradigm.com>
This commit is contained in:
2026-08-27 15:11:51 +08:00
parent b582a8e7d1
commit 7f8a1b1f7a
2849 changed files with 712887 additions and 22001 deletions

View File

@@ -24,13 +24,6 @@
#include "torch_npu/csrc/aten/common/from_blob.h"
namespace vllm_ascend {
extern void rotary_embedding_impl(AscendType type, bool isNeox, void *stream, int64_t *positions, void *queryDst,
void *keyDst, void *query, void *key, void *cosSinCache, const int rotDim,
const int64_t queryStride, const int64_t keyStride, const int64_t dstQueryStride,
const int64_t dstKeyStride, const int numHeads, const int numKvHeads,
const int headSize, const int64_t numTokens, const uint32_t loopCnt,
uint32_t aivNum);
extern void get_masked_input_and_mask_impl(
void* stream,
void* input,
@@ -44,22 +37,6 @@ namespace vllm_ascend {
const int64_t size,
const uint32_t loop_cnt,
const uint32_t aiv_num);
torch::Tensor weak_ref_tensor(torch::Tensor& tensor) {
if (!tensor.is_privateuseone()) {
throw std::runtime_error("Tensor must be on NPU device");
}
// Get the raw data pointer
void* data_ptr = tensor.data_ptr();
// Get tensor sizes and strides
std::vector<int64_t> sizes = tensor.sizes().vec();
std::vector<int64_t> strides = tensor.strides().vec();
// Get tensor options (dtype, device)
auto options = tensor.options();
// Create a new tensor from the raw data pointer
auto new_tensor = at_npu::native::from_blob(data_ptr, sizes, strides, options);
return new_tensor;
}
extern void bgmv_shrink_impl(
AscendType type,
@@ -124,4 +101,48 @@ namespace vllm_ascend {
uint32_t output_hidden_dim,
uint32_t slice_offset,
uint32_t output_full_dim);
extern void mla_preprocess_impl(
void* stream,
void* hidden_state,
void* quant_scale1,
void* quant_offset1,
void* wdqkv,
void* bias1,
void* gamma2,
void* beta2,
void* quant_scale2,
void* quant_offset2,
void* gamma3,
void* sin1,
void* cos1,
void* sin2,
void* cos2,
void* keycache,
void* slot_mapping,
void* wuq,
void* bias2,
void* wuk,
void* descale1,
void* descale2,
void* ctkv_scale,
void* qnope_scale,
void* q,
void* keycache_out,
void* q2,
void* keycache_out2,
void* inner_out,
void* workspace,
void* tiling,
const uint32_t block_dim
);
extern void batch_matmul_transpose_impl(
void* stream,
void* gm_a,
void* gm_b,
void* gm_c,
void* gm_tiling_data,
const uint32_t block_dim
);
}