43 lines
1.3 KiB
Plaintext
43 lines
1.3 KiB
Plaintext
#pragma once
|
|
#include <torch/extension.h>
|
|
#include "attn_common.cuh"
|
|
|
|
inline void attn_pack_params(
|
|
torch::Tensor q,
|
|
torch::Tensor k,
|
|
torch::Tensor v,
|
|
c10::optional<torch::Tensor> mask,
|
|
bool is_causal,
|
|
int64_t causal_offset,
|
|
c10::optional<double> scale,
|
|
AttentionParams& p
|
|
) {
|
|
TORCH_CHECK(q.is_cuda() && k.is_cuda() && v.is_cuda());
|
|
TORCH_CHECK(q.dtype() == torch::kBFloat16);
|
|
TORCH_CHECK(k.dtype() == torch::kBFloat16);
|
|
TORCH_CHECK(v.dtype() == torch::kBFloat16);
|
|
|
|
p.batch = (int)q.size(0);
|
|
p.q_head = (int)q.size(1);
|
|
p.kv_head = (int)k.size(1);
|
|
p.q_len = (int)q.size(2);
|
|
p.kv_len = (int)k.size(2);
|
|
p.head_dim = (int)q.size(3);
|
|
p.use_mask = mask.has_value() ? 1 : 0;
|
|
p.is_causal = is_causal ? 1 : 0;
|
|
p.causal_offset = (int)causal_offset;
|
|
p.scale = scale.has_value() ? (float)scale.value() : 1.0f / sqrtf((float)p.head_dim);
|
|
p.q = (const bf16*)q.data_ptr();
|
|
p.k = (const bf16*)k.data_ptr();
|
|
p.v = (const bf16*)v.data_ptr();
|
|
if (p.use_mask) {
|
|
TORCH_CHECK(mask.value().dtype() == torch::kBool);
|
|
TORCH_CHECK(mask.value().dim() == 2);
|
|
TORCH_CHECK(mask.value().size(0) == p.batch);
|
|
TORCH_CHECK(mask.value().size(1) == p.kv_len);
|
|
p.mask = mask.value().data_ptr<bool>();
|
|
} else {
|
|
p.mask = nullptr;
|
|
}
|
|
}
|