/
utils.cuh
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/
utils.cuh
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/*
* Copyright (c) 2023 by FlashInfer team.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef FLASHINFER_UTILS_CUH_
#define FLASHINFER_UTILS_CUH_
#include <cuda_runtime.h>
#include <iostream>
#include <sstream>
#include <stdexcept>
#include <vector>
#define STR_HELPER(x) #x
#define STR(x) STR_HELPER(x)
// macro to turn off fp16 qk reduction to reduce binary
#ifndef FLASHINFER_ALWAYS_DISALLOW_FP16_QK_REDUCTION
#define FLASHINFER_ALWAYS_DISALLOW_FP16_QK_REDUCTION 0
#endif
#ifndef NDEBUG
#define FLASHINFER_CUDA_CALL(func, ...) \
{ \
cudaError_t e = (func); \
if (e != cudaSuccess) { \
std::cerr << "CUDA Error: " << cudaGetErrorString(e) << " (" << e << ") " << __FILE__ \
<< ": line " << __LINE__ << " at function " << STR(func) << std::endl; \
return e; \
} \
}
#else
#define FLASHINFER_CUDA_CALL(func, ...) \
{ \
cudaError_t e = (func); \
if (e != cudaSuccess) { \
return e; \
} \
}
#endif
#define DISPATCH_SPLIT_QO_INDPTR(split_qo_indptr, SPLIT_QO_INDPTR, ...) \
if (split_qo_indptr) { \
constexpr bool SPLIT_QO_INDPTR = true; \
__VA_ARGS__ \
} else { \
constexpr bool SPLIT_QO_INDPTR = false; \
__VA_ARGS__ \
}
#define DISPATCH_ALLOW_FP16_QK_REDUCTION(allow_fp16_qk_reduction, ALLOW_FP16_QK_REDUCTION, ...) \
if (allow_fp16_qk_reduction) { \
throw std::runtime_error("FP16_QK_REDUCTION disabled at compile time"); \
} else { \
constexpr bool ALLOW_FP16_QK_REDUCTION = false; \
__VA_ARGS__ \
}
#define DISPATCH_PAGE_SIZE(page_size, PAGE_SIZE, ...) \
if (page_size == 1) { \
constexpr size_t PAGE_SIZE = 1; \
__VA_ARGS__ \
} else if (page_size == 16) { \
constexpr size_t PAGE_SIZE = 16; \
__VA_ARGS__ \
} else if (page_size == 32) { \
constexpr size_t PAGE_SIZE = 32; \
__VA_ARGS__ \
} else { \
std::ostringstream err_msg; \
err_msg << "Unsupported page_size: " << page_size; \
throw std::invalid_argument(err_msg.str()); \
}
#define DISPATCH_NUM_FRAGS_X(num_frags_x, NUM_FRAGS_X, ...) \
if (num_frags_x == 1) { \
constexpr size_t NUM_FRAGS_X = 1; \
__VA_ARGS__ \
} else if (num_frags_x == 2) { \
constexpr size_t NUM_FRAGS_X = 2; \
__VA_ARGS__ \
} else { \
std::ostringstream err_msg; \
err_msg << "Unsupported num_frags_x: " << num_frags_x; \
throw std::invalid_argument(err_msg.str()); \
}
#define DISPATCH_NUM_FRAGS_Z(max_frags_z, NUM_FRAGS_Z, ...) \
if (max_frags_z >= 4) { \
constexpr size_t NUM_FRAGS_Z = 4; \
__VA_ARGS__ \
} else if (max_frags_z >= 2) { \
constexpr size_t NUM_FRAGS_Z = 2; \
__VA_ARGS__ \
} else if (max_frags_z >= 1) { \
constexpr size_t NUM_FRAGS_Z = 1; \
__VA_ARGS__ \
} else { \
std::ostringstream err_msg; \
err_msg << "Unsupported max_frags_z: " << max_frags_z; \
throw std::invalid_argument(err_msg.str()); \
}
#define DISPATCH_GQA_GROUP_SIZE(group_size, GROUP_SIZE, ...) \
if (group_size == 1) { \
constexpr size_t GROUP_SIZE = 1; \
__VA_ARGS__ \
} else if (group_size == 4) { \
constexpr size_t GROUP_SIZE = 4; \
__VA_ARGS__ \
} else if (group_size == 5) { \
constexpr size_t GROUP_SIZE = 5; \
__VA_ARGS__ \
} else if (group_size == 6) { \
constexpr size_t GROUP_SIZE = 6; \
__VA_ARGS__ \
} else if (group_size == 7) { \
constexpr size_t GROUP_SIZE = 7; \
__VA_ARGS__ \
} else if (group_size == 8) { \
constexpr size_t GROUP_SIZE = 8; \
__VA_ARGS__ \
} else { \
std::ostringstream err_msg; \
err_msg << "Unsupported group_size: " << group_size; \
throw std::invalid_argument(err_msg.str()); \
}
#define DISPATCH_CAUSAL(causal, CAUSAL, ...) \
if (causal) { \
constexpr bool CAUSAL = true; \
__VA_ARGS__ \
} else { \
constexpr bool CAUSAL = false; \
__VA_ARGS__ \
}
#define DISPATCH_LAYOUT(layout, LAYOUT, ...) \
switch (layout) { \
case QKVLayout::kNHD: { \
constexpr QKVLayout LAYOUT = QKVLayout::kNHD; \
__VA_ARGS__ \
break; \
} \
case QKVLayout::kHND: { \
constexpr QKVLayout LAYOUT = QKVLayout::kHND; \
__VA_ARGS__ \
break; \
} \
default: { \
std::ostringstream err_msg; \
err_msg << "Unsupported layout: " << int(layout); \
throw std::invalid_argument(err_msg.str()); \
} \
}
#define DISPATCH_HEAD_DIM(head_dim, HEAD_DIM, ...) \
switch (head_dim) { \
case 64: { \
constexpr size_t HEAD_DIM = 64; \
__VA_ARGS__ \
break; \
} \
case 128: { \
constexpr size_t HEAD_DIM = 128; \
__VA_ARGS__ \
break; \
} \
case 256: { \
constexpr size_t HEAD_DIM = 256; \
__VA_ARGS__ \
break; \
} \
default: { \
std::ostringstream err_msg; \
err_msg << "Unsupported head_dim: " << head_dim; \
throw std::invalid_argument(err_msg.str()); \
} \
}
#define DISPATCH_POS_ENCODING_MODE(pos_encoding_mode, POS_ENCODING_MODE, ...) \
switch (pos_encoding_mode) { \
case PosEncodingMode::kNone: { \
constexpr PosEncodingMode POS_ENCODING_MODE = PosEncodingMode::kNone; \
__VA_ARGS__ \
break; \
} \
case PosEncodingMode::kRoPELlama: { \
constexpr PosEncodingMode POS_ENCODING_MODE = PosEncodingMode::kRoPELlama; \
__VA_ARGS__ \
break; \
} \
case PosEncodingMode::kALiBi: { \
constexpr PosEncodingMode POS_ENCODING_MODE = PosEncodingMode::kALiBi; \
__VA_ARGS__ \
break; \
} \
default: { \
std::ostringstream err_msg; \
err_msg << "Unsupported pos_encoding_mode: " << int(pos_encoding_mode); \
throw std::invalid_argument(err_msg.str()); \
} \
}
#define DISPATCH_ALIGNED_VEC_SIZE(aligned_vec_size, ALIGNED_VEC_SIZE, ...) \
switch (aligned_vec_size) { \
case 16: { \
constexpr size_t ALIGNED_VEC_SIZE = 16; \
__VA_ARGS__ \
break; \
} \
case 8: { \
constexpr size_t ALIGNED_VEC_SIZE = 8; \
__VA_ARGS__ \
break; \
} \
case 4: { \
constexpr size_t ALIGNED_VEC_SIZE = 4; \
__VA_ARGS__ \
break; \
} \
case 2: { \
constexpr size_t ALIGNED_VEC_SIZE = 2; \
__VA_ARGS__ \
break; \
} \
case 1: { \
constexpr size_t ALIGNED_VEC_SIZE = 1; \
__VA_ARGS__ \
break; \
} \
default: { \
std::ostringstream err_msg; \
err_msg << "Unsupported aligned_vec_size: " << aligned_vec_size; \
throw std::invalid_argument(err_msg.str()); \
} \
}
namespace flashinfer {
inline bool is_device_ptr(const void* ptr) {
cudaPointerAttributes attrs;
FLASHINFER_CUDA_CALL(cudaPointerGetAttributes(&attrs, ptr));
return attrs.type == cudaMemoryTypeDevice;
}
template <typename T1, typename T2>
__forceinline__ __device__ __host__ T1 ceil_div(const T1 x, const T2 y) {
return (x + y - 1) / y;
}
template <typename IdType>
std::tuple<IdType, IdType, std::vector<IdType>, std::vector<IdType>> split_qo_indptr(
IdType* qo_indptr, uint32_t batch_size, uint32_t gqa_group_size, uint32_t head_dim,
cudaStream_t stream = nullptr) {
constexpr uint32_t num_warps = 4;
std::vector<IdType> qo_indptr_h(batch_size + 1), request_indices, tile_indices;
if (is_device_ptr((void*)qo_indptr)) {
cudaMemcpyAsync(qo_indptr_h.data(), qo_indptr, sizeof(IdType) * (batch_size + 1),
cudaMemcpyDeviceToHost, stream);
} else {
qo_indptr_h.assign(qo_indptr, qo_indptr + batch_size + 1);
}
const uint32_t rows_per_warp = 16 / (2 * gqa_group_size) * 2;
const uint32_t aligned_gqa_group_size = 16 / rows_per_warp;
const uint32_t total_q_len = qo_indptr_h[batch_size];
const bool avg_len_greater_than_64 = total_q_len * aligned_gqa_group_size > 64 * batch_size;
const uint32_t num_frags_x = (head_dim < 256 && avg_len_greater_than_64) ? 2 : 1;
const uint32_t num_rows_per_cta = num_frags_x * num_warps * 16;
uint32_t num_qo_tiles = 0;
for (uint32_t i = 0; i < batch_size; ++i) {
for (uint32_t j = qo_indptr_h[i] * aligned_gqa_group_size;
j < qo_indptr_h[i + 1] * aligned_gqa_group_size; j += num_rows_per_cta) {
request_indices.push_back(i);
tile_indices.push_back((j - qo_indptr_h[i] * aligned_gqa_group_size) / num_rows_per_cta);
++num_qo_tiles;
}
}
return {num_frags_x, num_qo_tiles, std::move(request_indices), std::move(tile_indices)};
}
} // namespace flashinfer
#endif // FLASHINFER_UTILS_CUH_