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Expose variable-length batched attention kernel #5

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Merged
merged 2 commits into from
Oct 20, 2023
Merged

Expose variable-length batched attention kernel #5

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e9e14bb
expose var_len kernel
masahi Oct 19, 2023
55d3603
remove batch stride params from var_len api
masahi Oct 19, 2023
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27 changes: 27 additions & 0 deletions include/flash.h
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Original file line number Diff line number Diff line change
Expand Up @@ -40,4 +40,31 @@ void flash_attention_forward(const half* q_ptr,
int window_size_right = -1,
cudaStream_t stream = nullptr);


void flash_attention_var_len_forward(const half *q_ptr,
const half *k_ptr,
const half *v_ptr,
const int *cu_seqlens_q,
const int *cu_seqlens_k,
half* output_ptr,
int batch_size,
int max_seqlen_q,
int max_seqlen_k,
int num_heads,
int num_heads_k,
int head_dim,
int q_head_stride,
int k_head_stride,
int v_head_stride,
int o_head_stride,
int q_row_stride,
int k_row_stride,
int v_row_stride,
int o_row_stride,
float softmax_scale,
bool is_causal,
int window_size_left = -1,
int window_size_right = -1,
cudaStream_t stream = nullptr);

} // namespace flash_attn
125 changes: 100 additions & 25 deletions src/flash.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,37 @@ inline void _assert(bool result, const char* const file, int const line, std::st

#define CHECK(val) _assert(val, __FILE__, __LINE__)

void run(Flash_fwd_params params, cudaStream_t stream) {
int device;
cudaGetDevice(&device);
int major, minor;
cudaDeviceGetAttribute(
&major, cudaDevAttrComputeCapabilityMajor, device);
cudaDeviceGetAttribute(
&minor, cudaDevAttrComputeCapabilityMinor, device);
params.sm = major * 10 + minor;

auto head_dim = params.d;

if (head_dim <= 32) {
run_mha_fwd_<half, 32>(params, stream);
} else if (head_dim <= 64) {
run_mha_fwd_<half, 64>(params, stream);
} else if (head_dim <= 96) {
run_mha_fwd_<half, 96>(params, stream);
} else if (head_dim <= 128) {
run_mha_fwd_<half, 128>(params, stream);
} else if (head_dim <= 160) {
run_mha_fwd_<half, 160>(params, stream);
} else if (head_dim <= 192) {
run_mha_fwd_<half, 192>(params, stream);
} else if (head_dim <= 224) {
run_mha_fwd_<half, 224>(params, stream);
} else {
run_mha_fwd_<half, 256>(params, stream);
}
}

void flash_attention_forward(const half* q_ptr,
const half* k_ptr,
const half* v_ptr,
Expand Down Expand Up @@ -84,32 +115,76 @@ void flash_attention_forward(const half* q_ptr,
params.window_size_left = window_size_left;
params.window_size_right = window_size_right;

int device;
cudaGetDevice(&device);
int major, minor;
cudaDeviceGetAttribute(
&major, cudaDevAttrComputeCapabilityMajor, device);
cudaDeviceGetAttribute(
&minor, cudaDevAttrComputeCapabilityMinor, device);
params.sm = major * 10 + minor;
run(params, stream);
}

if (head_dim <= 32) {
run_mha_fwd_<half, 32>(params, stream);
} else if (head_dim <= 64) {
run_mha_fwd_<half, 64>(params, stream);
} else if (head_dim <= 96) {
run_mha_fwd_<half, 96>(params, stream);
} else if (head_dim <= 128) {
run_mha_fwd_<half, 128>(params, stream);
} else if (head_dim <= 160) {
run_mha_fwd_<half, 160>(params, stream);
} else if (head_dim <= 192) {
run_mha_fwd_<half, 192>(params, stream);
} else if (head_dim <= 224) {
run_mha_fwd_<half, 224>(params, stream);
} else {
run_mha_fwd_<half, 256>(params, stream);
}
void flash_attention_var_len_forward(const half *q_ptr,
const half *k_ptr,
const half *v_ptr,
const int *cu_seqlens_q,
const int *cu_seqlens_k,
half* output_ptr,
int batch_size,
int max_seqlen_q,
int max_seqlen_k,
int num_heads,
int num_heads_k,
int head_dim,
int q_head_stride,
int k_head_stride,
int v_head_stride,
int o_head_stride,
int q_row_stride,
int k_row_stride,
int v_row_stride,
int o_row_stride,
float softmax_scale,
bool is_causal,
int window_size_left,
int window_size_right,
cudaStream_t stream) {
CHECK(head_dim % 8 == 0);
CHECK(head_dim <= 256);

auto round_multiple = [](int x, int m) { return (x + m - 1) / m * m; };
const int head_dim_rounded = round_multiple(head_dim, 32);
const int seqlen_q_rounded = round_multiple(max_seqlen_q, 128);
const int seqlen_k_rounded = round_multiple(max_seqlen_k, 128);

Flash_fwd_params params;
params.q_ptr = q_ptr;
params.k_ptr = k_ptr;
params.v_ptr = v_ptr;
params.cu_seqlens_q = cu_seqlens_q;
params.cu_seqlens_k = cu_seqlens_k;
params.o_ptr = output_ptr;
params.is_causal = is_causal;
params.b = batch_size;
params.h = num_heads;
params.h_k = num_heads_k;
params.h_h_k_ratio = num_heads / num_heads_k;
params.seqlen_q = max_seqlen_q;
params.seqlen_k = max_seqlen_k;
params.seqlen_q_rounded = seqlen_q_rounded;
params.seqlen_k_rounded = seqlen_k_rounded;
params.d = head_dim;
params.d_rounded = head_dim_rounded;
params.scale_softmax = softmax_scale;
params.scale_softmax_log2 = softmax_scale * M_LOG2E;

params.q_head_stride = q_head_stride;
params.q_row_stride = q_row_stride;
params.k_head_stride = k_head_stride;
params.k_row_stride = k_row_stride;
params.v_head_stride = v_head_stride;
params.v_row_stride = v_row_stride;
params.o_head_stride = o_head_stride;
params.o_row_stride = o_row_stride;

params.window_size_left = window_size_left;
params.window_size_right = window_size_right;

run(params, stream);
}

} // namespace flash_attn
4 changes: 2 additions & 2 deletions src/flash_fwd_launch_template.h
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Expand Up @@ -58,8 +58,8 @@ struct Flash_fwd_params : public Qkv_params {
float scale_softmax_log2;

// array of length b+1 holding starting offset of each sequence.
int * __restrict__ cu_seqlens_q = nullptr;
int * __restrict__ cu_seqlens_k = nullptr;
const int* __restrict__ cu_seqlens_q = nullptr;
const int* __restrict__ cu_seqlens_k = nullptr;

// Local window size
int window_size_left = -1, window_size_right = -1;
Expand Down