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38 lines
2.3 KiB
C++
38 lines
2.3 KiB
C++
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#include <sgl_kernel/scalar_type.hpp>
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#include "../marlin/marlin.cuh"
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#include "../marlin/marlin_dtypes.cuh"
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#define MARLIN_KERNEL_PARAMS \
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const int4 *__restrict__ A, const int4 *__restrict__ B, int4 *__restrict__ C, int4 *__restrict__ C_tmp, \
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const int4 *__restrict__ b_bias_ptr, const int4 *__restrict__ scales_ptr, \
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const uint16_t *__restrict__ scale2_ptr, const int4 *__restrict__ zp_ptr, const int *__restrict__ g_idx, \
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const int32_t *__restrict__ sorted_token_ids_ptr, const int32_t *__restrict__ expert_ids_ptr, \
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const int32_t *__restrict__ num_tokens_past_padded_ptr, const float *__restrict__ topk_weights_ptr, int top_k, \
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bool mul_topk_weights, bool is_ep, int num_groups, int prob_m, int prob_n, int prob_k, int *locks, \
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bool has_bias, bool use_atomic_add, bool use_fp32_reduce, int max_shared_mem
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namespace device::marlin_moe {
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template <
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typename scalar_t, // compute dtype, half or nv_float16
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const host::ScalarTypeId w_type_id, // weight ScalarType id
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const host::ScalarTypeId s_type_id, // weight scale ScalarType id
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const int threads, // number of threads in a threadblock
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const int thread_m_blocks, // number of 16x16 blocks in the m
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// dimension (batchsize) of the
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// threadblock
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const int thread_n_blocks, // same for n dimension (output)
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const int thread_k_blocks, // same for k dimension (reduction)
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const bool m_block_size_8, // whether m_block_size == 8
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// only works when thread_m_blocks == 1
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const int stages, // number of stages for the async global->shared
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// fetch pipeline
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const int group_blocks, // number of consecutive 16x16 blocks
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// with a separate quantization scale
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const bool is_zp_float // is zero point of float16 type?
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>
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__global__ void Marlin(MARLIN_KERNEL_PARAMS);
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} // namespace device::marlin_moe
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