mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-04 21:51:28 +00:00
Merge branch 'test_copy_fix' of https://github.com/ROCm/composable_kernel into fa_decode_pipeline
This commit is contained in:
aska-0096
@@ -150,14 +150,14 @@ unsigned get_num_thread_blocks(unsigned batch, unsigned nheads, unsigned max_seq
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float fmha_batch_prefill(fmha_batch_prefill_traits t, fmha_batch_prefill_args a, const ck_tile::stream_config& s) {{
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float r = -1;
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const float min_cu_util_rate = 0.8; // minimum CU utilization rate
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[[maybe_unused]] const float min_cu_util_rate = 0.8; // minimum CU utilization rate
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unsigned num_cus;
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if (!get_num_cus(num_cus)) {{
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return r;
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}}
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auto get_num_blocks = [&](unsigned kM0) {{
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[[maybe_unused]] auto get_num_blocks = [&](unsigned kM0) {{
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return get_num_thread_blocks(a.batch, a.nhead_q, a.max_seqlen_q, kM0);
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}};
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@@ -490,7 +490,7 @@ class KernelComponentFactory:
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def get_hdim_tile_size_dict(dtype : str) -> Optional[dict]:
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if dtype == 'fp16' or dtype == 'bf16':
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return {
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'128' : [FmhaFwdTileSize(128, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1)],
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128 : [FmhaFwdTileSize(128, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1)],
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}
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else:
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return None
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@@ -516,13 +516,11 @@ class KernelComponentFactory:
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class CustomFactory(KernelComponentFactory):
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@staticmethod
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def get_hdim_tile_size_dict(dtype : str) -> Optional[dict]:
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result = KernelComponentFactory.get_hdim_tile_size_dict(dtype)
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if dtype == 'fp16' or dtype == 'bf16':
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return {
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'128' : [FmhaFwdTileSize( 64, 128, 64, 128, 64, 128, 4, 1, 1, 4, 1, 1, 16, 16, 16, 16, 16, 16, -1, CppConstraint('get_num_blocks(128) < num_cus * min_cu_util_rate')),
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FmhaFwdTileSize(128, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),]
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}
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else:
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return None
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if 128 in result.keys():
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result[128].insert(0, FmhaFwdTileSize( 64, 128, 64, 128, 64, 128, 4, 1, 1, 4, 1, 1, 16, 16, 16, 16, 16, 16, -1, CppConstraint('get_num_blocks(128) < num_cus * min_cu_util_rate')))
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return result
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def get_fwd_blobs(kernel_filter : Optional[str], receipt, optdim_list, mask_impl) -> Tuple[FmhaFwdApiPool, List[FmhaFwdKernel]]:
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# TODO: we don't support tuning yet, so pick up one value for vlayout/pipeline/pad
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@@ -536,9 +534,7 @@ def get_fwd_blobs(kernel_filter : Optional[str], receipt, optdim_list, mask_impl
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if d == None:
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continue
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#for hdim_str, mode, mask, bias, lse in itertools.product(d.keys(), MODE_MAP.keys(), MASK_MAP.keys(), ["t", "f"], ["t", "f"]):
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for hdim_str, mode in itertools.product(d.keys(), MODE_MAP.keys()):
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tiles = d[hdim_str]
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hdim = int(hdim_str)
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for (hdim, tiles), mode in itertools.product(d.items(), MODE_MAP.keys()):
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for tile, pipeline in itertools.product(tiles, CustomFactory.get_pipelines(dtype, hdim, receipt, mask_impl)):
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if mode == "group":
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if pipeline.F_spad != 't' or pipeline.F_skpad != 't':
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@@ -169,7 +169,7 @@ template <typename dot_do_o_trait_, typename dq_dk_dv_trait_, typename convert_d
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float fmha_bwd_(const ck_tile::stream_config& s, fmha_bwd_args a)
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{{
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if(s.log_level_ > 0)
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std::cout << ", " << fmha_bwd_dot_do_o_get_name_<dot_do_o_trait_>() << ", " << fmha_bwd_dq_dk_dv_get_name_<dq_dk_dv_trait_>() << ", " << fmha_bwd_convert_dq_get_name_<convert_dq_trait_>() << std::flush;
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std::cout << ", " << fmha_bwd_dot_do_o_get_name_<dot_do_o_trait_>() << "@" << fmha_bwd_convert_dq_get_name_<convert_dq_trait_>() << "@" << fmha_bwd_dq_dk_dv_get_name_<dq_dk_dv_trait_>() << std::flush;
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return ck_tile::launch_kernel(s,
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[=](const ck_tile::stream_config& s_){{ fmha_bwd_dot_do_o_oneshot_<dot_do_o_trait_>(s_, a); }},
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[=](const ck_tile::stream_config& s_){{ fmha_bwd_dq_dk_dv_oneshot_<dq_dk_dv_trait_>(s_, a); }},
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@@ -527,6 +527,7 @@ def get_bwd_dq_dk_dv_blobs(kernel_filter : Optional[str], receipt, mask_impl) ->
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cond &= bias in ['no', 'bias']
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cond &= dropout in ['no', 'dropout_wg32', 'dropout_wg16']
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cond &= dpad == dvpad
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cond &= mode == 'batch'
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cond &= deterministic == "f"
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if not cond:
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continue
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@@ -3,9 +3,10 @@
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# generate kernel instances to speed up compilation
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import copy
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from dataclasses import dataclass
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from dataclasses import dataclass, field
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import fnmatch
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import itertools
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import os
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from pathlib import Path
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from typing import List, Optional, Tuple
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@@ -114,8 +115,52 @@ float fmha_fwd_<trait_{F_idx}>(const ck_tile::stream_config& s, fmha_fwd_args a)
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FMHA_FWD_API_FILENAME="fmha_fwd_api.cpp"
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FMHA_FWD_API="""
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#include <cstdio>
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#include <hip/hip_runtime.h>
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namespace {{
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bool get_num_cus(unsigned& num_cus) {{
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int device;
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auto status = hipGetDevice(&device);
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if(status != hipSuccess) {{
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fprintf(stderr, "failed to get device");
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return false;
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}}
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hipDeviceProp_t props{{}};
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status = hipGetDeviceProperties(&props, device);
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if(status != hipSuccess) {{
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fprintf(stderr, "failed to get device properties");
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return false;
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}}
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num_cus = props.multiProcessorCount;
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return true;
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}}
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unsigned get_num_thread_blocks(unsigned batch, unsigned nheads, unsigned max_seqlen_q, unsigned kM0) {{
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const unsigned num_m_blocks = (max_seqlen_q + kM0 - 1) / kM0;
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const unsigned num_n_blocks = 1; // we assume that num_n_blocks is always 1
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return batch * nheads * num_m_blocks * num_n_blocks;
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}}
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}} // namespace
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float fmha_fwd(fmha_fwd_traits t, fmha_fwd_args a, const ck_tile::stream_config& s){{
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float r = -1;
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[[maybe_unused]] const float min_cu_util_rate = 0.8; // minimum CU utilization rate
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unsigned num_cus;
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if (!get_num_cus(num_cus)) {{
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return r;
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}}
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[[maybe_unused]] auto get_num_blocks = [&](unsigned kM0) {{
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return get_num_thread_blocks(a.batch, a.nhead_q, a.max_seqlen_q, kM0);
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}};
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{F_dispatch}
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return r;
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}}
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@@ -131,37 +176,51 @@ FMHA_FWD_API_PER_HDIM_CASE=""" {F_if} (t.hdim_q <= {F_hdim} && t.hdim_v <
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"""
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FMHA_FWD_API_INNER_DISPATCH=""" {F_if}((t.is_group_mode == {F_mode}) && (t.is_v_rowmajor == {F_vlayout}) && (t.has_logits_soft_cap == {F_logits}) && ({F_mask_check}) && (t.bias_type == {F_bias_check}) && (t.has_lse == {F_lse}) && (t.has_dropout == {F_dropout}) && (t.do_fp8_static_quant == {F_squant}) && (t.skip_min_seqlen_q == {F_skip}) &&
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({F_scheck}) && ({F_skcheck}) && ({F_dcheck}) && ({F_dvcheck})) {{
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({F_scheck}) && ({F_skcheck}) && ({F_dcheck}) && ({F_dvcheck}) && ({F_constraint})) {{
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using trait_ = fmha_fwd_traits_<{F_hdim}, {F_dtype}, {F_mode}, {F_bm0}, {F_bn0}, {F_bk0}, {F_bn1}, {F_bk1}, {F_bk0max}, {F_vlayout}, {F_pipeline_enum}, {F_logits}, {F_mask}, {F_bias}, {F_lse}, {F_dropout}, {F_squant}, {F_spad}, {F_skpad}, {F_dpad}, {F_dvpad}, {F_skip}>;
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return fmha_fwd_<trait_>(s, a);
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}}
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"""
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@dataclass
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class CppConstraint:
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bool_expr: str = None
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def __str__(self):
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if self.bool_expr is None:
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return 'true'
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else:
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return f'{self.bool_expr}'
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def __and__(self, other):
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return CppConstraint(f'({str(self)}) && ({str(other)})')
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@dataclass
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class FmhaFwdApiTrait:
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pipeline_tag : str
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# sync with fmha_fwd_traits<>, to generate fallback calls
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hdim : str
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dtype : str # data type
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mode : str # value from MODE_MAP
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bm0 : int # tile size along q seqlen (block size)
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bn0 : int # tile size along qk seqlen
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bk0 : int # tile size along qk gemm unroll
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bn1 : int # tile size along v head_dim
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bk1 : int # tile size along kv gemm unroll
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bk0max : int
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vlayout : str
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logits : str
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mask : str
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bias : str #
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lse : str #
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dropout : str
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squant : str #
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spad : str
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skpad : str
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dpad : str
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dvpad : str
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skip : str
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hdim : str
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dtype : str # data type
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mode : str # value from MODE_MAP
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bm0 : int # tile size along q seqlen (block size)
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bn0 : int # tile size along qk seqlen
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bk0 : int # tile size along qk gemm unroll
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bn1 : int # tile size along v head_dim
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bk1 : int # tile size along kv gemm unroll
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bk0max : int
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vlayout : str
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logits : str
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mask : str
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bias : str #
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lse : str #
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dropout : str
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squant : str #
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spad : str
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skpad : str
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dpad : str
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dvpad : str
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skip : str
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constraint : CppConstraint
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@property
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def name(self) -> str:
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@@ -218,18 +277,19 @@ class FmhaFwdApiTrait:
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class FmhaFwdPipeline:
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tag : str
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F_vlayout : str # row/col
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F_spad : str # true/false
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F_skpad : str #
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F_dpad : str #
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F_dvpad : str #
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F_logits : str # t/f
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F_bias : str # true/false
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F_lse : str #
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F_dropout : str #
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F_squant : str #
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F_mask : str # value from MASK_MAP
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F_skip : str # true/false
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F_vlayout : str # row/col
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F_spad : str # true/false
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F_skpad : str #
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F_dpad : str #
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F_dvpad : str #
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F_logits : str # t/f
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F_bias : str # true/false
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F_lse : str #
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F_dropout : str #
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F_squant : str #
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F_mask : str # value from MASK_MAP
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F_skip : str # true/false
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F_constraint : CppConstraint = field(default_factory=lambda: CppConstraint())
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@property
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def name(self) -> str:
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@@ -303,6 +363,7 @@ class FmhaFwdApiPool:
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F_mask_check=get_mask_check_map(self.mask_impl)[trait.mask], F_bias_check=BIAS_CHECK_MAP[trait.bias], F_bias=BIAS_MAP[trait.bias],
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F_lse=BOOL_MAP[trait.lse], F_dropout=BOOL_MAP[trait.dropout], F_skip=BOOL_MAP[trait.skip],
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F_squant=BOOL_MAP[trait.squant], F_scheck=trait.scheck, F_skcheck=trait.skcheck, F_dcheck=trait.dcheck, F_dvcheck=trait.dvcheck,
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F_constraint=trait.constraint,
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F_spad=BOOL_MAP[trait.spad], F_skpad=BOOL_MAP[trait.skpad], F_dpad=BOOL_MAP[trait.dpad], F_dvpad=BOOL_MAP[trait.dvpad],
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F_bm0=trait.bm0, F_bn0=trait.bn0, F_bk0=trait.bk0, F_bn1=trait.bn1, F_bk1=trait.bk1, F_bk0max=trait.bk0max,
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F_hdim=hdim, F_dtype=FWD_DTYPE_MAP[dtype])
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@@ -317,25 +378,27 @@ class FmhaFwdApiPool:
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@dataclass
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class FmhaFwdTileSize:
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F_bm0 : int # tile size along q seqlen (block size)
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F_bn0 : int # tile size along k seqlen
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F_bk0 : int # tile size along qk gemm unroll
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F_bn1 : int # tile size along v head_dim
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F_bk1 : int # tile size along kv gemm unroll
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F_bk0max : int # total length of K0, used for pipeline that need load Q at once (or repeately load Q as a whole tile)
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F_rm0 : int # number of warps for gemm0 along q seqlen
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F_rn0 : int # number of warps for gemm0 along k seqlen
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F_rk0 : int # number of warps for gemm0 along head dim q (not used)
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F_rm1 : int # number of warps for gemm1 along q seqlen
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F_rn1 : int # number of warps for gemm1 along head dim v
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F_rk1 : int # number of warps for gemm1 along k seqlen (not used)
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F_wm0 : int # gemm0 warp size along m
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F_wn0 : int # gemm0 warp size along n
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F_wk0 : int # gemm0 warp size along k
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F_wm1 : int # gemm1 warp size along m
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F_wn1 : int # gemm1 warp size along n
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F_wk1 : int # gemm1 warp size along k
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F_occupancy : int # occupancy, -1 will let pipeline decide the occupancy, other value will overwrite occupancy
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F_bm0 : int # tile size along q seqlen (block size)
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F_bn0 : int # tile size along k seqlen
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F_bk0 : int # tile size along qk gemm unroll
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F_bn1 : int # tile size along v head_dim
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F_bk1 : int # tile size along kv gemm unroll
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F_bk0max : int # total length of K0, used for pipeline that need load Q at once (or repeately load Q as a whole tile)
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F_rm0 : int # number of warps for gemm0 along q seqlen
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F_rn0 : int # number of warps for gemm0 along k seqlen
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F_rk0 : int # number of warps for gemm0 along head dim q (not used)
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F_rm1 : int # number of warps for gemm1 along q seqlen
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F_rn1 : int # number of warps for gemm1 along head dim v
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F_rk1 : int # number of warps for gemm1 along k seqlen (not used)
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F_wm0 : int # gemm0 warp size along m
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F_wn0 : int # gemm0 warp size along n
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F_wk0 : int # gemm0 warp size along k
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F_wm1 : int # gemm1 warp size along m
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F_wn1 : int # gemm1 warp size along n
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F_wk1 : int # gemm1 warp size along k
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F_occupancy : int # occupancy, -1 will let pipeline decide the occupancy, other value will overwrite occupancy
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F_constraint : CppConstraint = field(default_factory=lambda: CppConstraint())
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@property
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def name(self) -> str:
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return f"b{self.F_bm0}x{self.F_bn0}x{self.F_bk0}x{self.F_bn1}x{self.F_bk1}x{self.F_bk0max}" +\
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@@ -429,35 +492,38 @@ class FmhaFwdKernel:
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skpad=self.F_pipeline.F_skpad,
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dpad=self.F_pipeline.F_dpad,
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dvpad=self.F_pipeline.F_dvpad,
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skip=self.F_pipeline.F_skip)
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skip=self.F_pipeline.F_skip,
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constraint=self.F_tile.F_constraint & self.F_pipeline.F_constraint)
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# TODO: design a more practical way to do it
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# this is current supported tile size per hdim
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def get_fmha_fwd_tile_dict_from_dtype(dtype : str) -> Optional[dict]:
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if dtype == 'fp16' or dtype == 'bf16':
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return {
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(32, 32) : FmhaFwdTileSize(128, 64, 16, 32, 32, 32, 2, 1, 1, 2, 1, 1, 32, 32, 16, 32, 32, 16, -1),
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(64, 64) : FmhaFwdTileSize(128, 64, 32, 64, 32, 64, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
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### (96, 128) : FmhaFwdTileSize(128, 128, 32, 128, 32, 96, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
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(128,128) : FmhaFwdTileSize(128, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
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### (160,160) : FmhaFwdTileSize(128, 128, 32, 160, 32, 160, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, 1),
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(192,128) : FmhaFwdTileSize(128, 128, 32, 128, 32, 192, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
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### (192,192) : FmhaFwdTileSize(128, 128, 32, 192, 32, 192, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, 1),
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(256,256) : FmhaFwdTileSize(128, 128, 32, 256, 32, 256, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
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}
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elif dtype == 'fp8' or dtype == 'bf8':
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return {
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(64,64 ) : FmhaFwdTileSize(128, 64, 32, 64, 32, 64, 2, 1, 1, 2, 1, 1, 32, 32, 32, 32, 32, 32, -1),
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(128,128) : FmhaFwdTileSize(128, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 32, 32, 32, 32, 32, 32, -1),
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||||
(256,256) : FmhaFwdTileSize(128, 128, 32, 256, 32, 256, 4, 1, 1, 4, 1, 1, 32, 32, 32, 32, 32, 32, -1),
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||||
}
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||||
else:
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||||
return None
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||||
class KernelComponentFactory:
|
||||
# TODO: design a more practical way to do it
|
||||
# this is current supported tile size per hdim
|
||||
@staticmethod
|
||||
def get_hdim_tile_size_dict(dtype : str) -> Optional[dict]:
|
||||
if dtype == 'fp16' or dtype == 'bf16':
|
||||
return {
|
||||
(32, 32) : [FmhaFwdTileSize(128, 64, 16, 32, 32, 32, 2, 1, 1, 2, 1, 1, 32, 32, 16, 32, 32, 16, -1)],
|
||||
(64, 64) : [FmhaFwdTileSize(128, 64, 32, 64, 32, 64, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1)],
|
||||
### (96, 128) : [FmhaFwdTileSize(128, 128, 32, 128, 32, 96, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1)],
|
||||
(128,128) : [FmhaFwdTileSize(128, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1)],
|
||||
### (160,160) : [FmhaFwdTileSize(128, 128, 32, 160, 32, 160, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, 1)],
|
||||
(192,128) : [FmhaFwdTileSize(128, 128, 32, 128, 32, 192, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1)],
|
||||
### (192,192) : [FmhaFwdTileSize(128, 128, 32, 192, 32, 192, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, 1)],
|
||||
(256,256) : [FmhaFwdTileSize(128, 128, 32, 256, 32, 256, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1)],
|
||||
}
|
||||
elif dtype == 'fp8' or dtype == 'bf8':
|
||||
return {
|
||||
(64,64 ) : [FmhaFwdTileSize(128, 64, 32, 64, 32, 64, 2, 1, 1, 2, 1, 1, 32, 32, 32, 32, 32, 32, -1)],
|
||||
(128,128) : [FmhaFwdTileSize(128, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 32, 32, 32, 32, 32, 32, -1)],
|
||||
(256,256) : [FmhaFwdTileSize(128, 128, 32, 256, 32, 256, 4, 1, 1, 4, 1, 1, 32, 32, 32, 32, 32, 32, -1)],
|
||||
}
|
||||
else:
|
||||
return None
|
||||
|
||||
def get_fwd_blobs(kernel_filter : Optional[str], receipt, optdim_list, mask_impl) -> Tuple[FmhaFwdApiPool, List[FmhaFwdKernel]]:
|
||||
# TODO: we don't support tuning yet, so pick up one value for vlayout/pipeline/pad
|
||||
# support this in future
|
||||
def get_pipelines(dtype, hdim, hdim_v) -> List[FmhaFwdPipeline]:
|
||||
@staticmethod
|
||||
def get_pipelines(dtype, hdim, hdim_v, receipt, mask_impl) -> List[FmhaFwdPipeline]:
|
||||
# this function will populate a list possible pipelines
|
||||
# TODO: the order of List matters! the later in this list will be also be checked later
|
||||
# TODO: currently for qr pipeline, let 't' padding to appear later!!
|
||||
@@ -502,16 +568,28 @@ def get_fwd_blobs(kernel_filter : Optional[str], receipt, optdim_list, mask_impl
|
||||
assert False
|
||||
return pipelines
|
||||
|
||||
class CustomFactory(KernelComponentFactory):
|
||||
@staticmethod
|
||||
def get_hdim_tile_size_dict(dtype : str) -> Optional[dict]:
|
||||
result = KernelComponentFactory.get_hdim_tile_size_dict(dtype)
|
||||
if dtype == 'fp16' or dtype == 'bf16':
|
||||
if (128, 128) in result.keys():
|
||||
result[(128, 128)].insert(0, FmhaFwdTileSize( 64, 128, 64, 128, 64, 128, 4, 1, 1, 4, 1, 1, 16, 16, 16, 16, 16, 16, -1, CppConstraint('get_num_blocks(128) < num_cus * min_cu_util_rate')))
|
||||
return result
|
||||
|
||||
def get_fwd_blobs(kernel_filter : Optional[str], receipt, optdim_list, mask_impl) -> Tuple[FmhaFwdApiPool, List[FmhaFwdKernel]]:
|
||||
gen = list()
|
||||
api_pool = FmhaFwdApiPool(mask_impl)
|
||||
|
||||
factory = CustomFactory if os.environ.get('CK_TILE_FMHA_FWD_CUSTOM_FACTORY', '0') == '1' else KernelComponentFactory
|
||||
|
||||
for dtype in FWD_DTYPE_MAP.keys():
|
||||
d = get_fmha_fwd_tile_dict_from_dtype(dtype)
|
||||
d = factory.get_hdim_tile_size_dict(dtype)
|
||||
if d == None:
|
||||
continue
|
||||
#for hdim_str, mode, mask, bias, lse in itertools.product(d.keys(), MODE_MAP.keys(), MASK_MAP.keys(), ["t", "f"], ["t", "f"]):
|
||||
for ((hdim, hdim_v), tile), mode in itertools.product(d.items(), MODE_MAP.keys()):
|
||||
for pipeline in get_pipelines(dtype, hdim, hdim_v):
|
||||
for ((hdim, hdim_v), tiles), mode in itertools.product(d.items(), MODE_MAP.keys()):
|
||||
for tile, pipeline in itertools.product(tiles, factory.get_pipelines(dtype, hdim, hdim_v, receipt, mask_impl)):
|
||||
if mode == "group":
|
||||
if pipeline.F_spad != 't' or pipeline.F_skpad != 't':
|
||||
# in group mode, spad/skpad must be true, since we can't predict if seqlen of current batch need pad or not
|
||||
@@ -551,7 +629,9 @@ def get_fwd_blobs(kernel_filter : Optional[str], receipt, optdim_list, mask_impl
|
||||
cond &= pipeline.F_vlayout == 'row'
|
||||
cond &= pipeline.F_bias in ['no', 'bias']
|
||||
cond &= pipeline.F_squant == 'f'
|
||||
cond &= mode == 'batch'
|
||||
cond &= pipeline.F_skip == 'f'
|
||||
cond &= pipeline.F_logits == 'f'
|
||||
if not cond:
|
||||
continue
|
||||
# Aiter(mha_fwd) integration
|
||||
|
||||
@@ -332,6 +332,12 @@ def get_fwd_appendkv_blobs(kernel_filter : Optional[str], receipt, mask_impl) ->
|
||||
cond &= pipeline.F_vlayout == 'row'
|
||||
if not cond:
|
||||
continue
|
||||
# PyTorch integration
|
||||
elif receipt == 4:
|
||||
cond = dtype in ['fp16, bf16']
|
||||
cond &= pipeline.F_vlayout == 'row'
|
||||
if not cond:
|
||||
continue
|
||||
api_pool.register_traits(k.api_trait())
|
||||
gen.append(k)
|
||||
|
||||
|
||||
@@ -34,6 +34,7 @@ K0_MAX_SUBMAX_MAP = {
|
||||
64 : 64,
|
||||
96 : 128,
|
||||
128: 128,
|
||||
# 160: 160,
|
||||
256: 256
|
||||
}
|
||||
|
||||
@@ -638,6 +639,7 @@ def get_fmha_fwd_tile_dict_from_dtype(dtype : str) -> Optional[dict]:
|
||||
'64' : FmhaFwdTileSize(64, 64, 32, 64, 32, 64, 4, 1, 1, 4, 1, 1, 16, 16, 16, 16, 16, 16, -1),
|
||||
### '96' : FmhaFwdTileSize(64, 128, 32, 128, 32, 96, 4, 1, 1, 4, 1, 1, 16, 16, 16, 16, 16, 16, -1),
|
||||
'128' : FmhaFwdTileSize(64, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 16, 16, 16, 16, 16, 16, -1),
|
||||
### '160' : FmhaFwdTileSize(64, 128, 32, 160, 32, 160, 4, 1, 1, 4, 1, 1, 16, 16, 16, 16, 16, 16, -1),
|
||||
'256' : FmhaFwdTileSize(64, 128, 32, 256, 32, 256, 4, 1, 1, 4, 1, 1, 16, 16, 16, 16, 16, 16, -1),
|
||||
}
|
||||
elif dtype == 'fp8' or dtype == 'bf8':
|
||||
@@ -656,6 +658,7 @@ def get_fmha_fwd_splitkv_combine_tile_dict_from_dtype(dtype : str) -> Optional[d
|
||||
'64' : FmhaFwdSplitKVCombineTileSize(32, -1),
|
||||
### '96' : FmhaFwdSplitKVCombineTileSize(32, -1),
|
||||
'128' : FmhaFwdSplitKVCombineTileSize(32, -1),
|
||||
### '160' : FmhaFwdSplitKVCombineTileSize(32, -1),
|
||||
'256' : FmhaFwdSplitKVCombineTileSize(32, -1),
|
||||
}
|
||||
elif dtype == 'fp8' or dtype == 'bf8':
|
||||
@@ -683,7 +686,7 @@ def get_fwd_splitkv_blobs(kernel_filter : Optional[str], receipt, mask_impl) ->
|
||||
if dtype in ['fp16', 'bf16']:
|
||||
for logits, mask, bias, pagedkv in itertools.product(["t", "f"], get_mask_map(mask_impl).keys(), BIAS_MAP.keys(), ["t", "f"]):
|
||||
# TODO: use async pipeline when compiler is more stable
|
||||
if hdim == 256 or hdim in [32, 64, 128]: ### [32, 64, 96, 128]:
|
||||
if hdim == 256 or hdim in [32, 64, 128]: ### [32, 64, 96, 128, 160]:
|
||||
# if True:
|
||||
pipelines.append(Pipeline('qr', 'row', 'f', 't', 'f', 'f', logits, bias, 't', squant, pagedkv, mask))
|
||||
pipelines.append(Pipeline('qr', 'col', 'f', 't', 'f', 'f', logits, bias, 't', squant, pagedkv, mask))
|
||||
@@ -751,6 +754,15 @@ def get_fwd_splitkv_blobs(kernel_filter : Optional[str], receipt, mask_impl) ->
|
||||
cond &= pipeline.F_squant == 'f'
|
||||
if not cond:
|
||||
continue
|
||||
# PyTorch integration
|
||||
elif receipt == 4:
|
||||
cond = dtype in ['fp16, bf16']
|
||||
cond &= pipeline.F_vlayout == 'row'
|
||||
cond &= pipeline.F_bias in ['no', 'bias']
|
||||
cond &= pipeline.F_squant == 'f'
|
||||
cond &= mode == 'batch'
|
||||
if not cond:
|
||||
continue
|
||||
# Aiter(mha_varlen_fwd) integration
|
||||
elif receipt == 200:
|
||||
cond = dtype in ['fp16', 'bf16']
|
||||
|
||||
585
example/ck_tile/01_fmha/codegen/ops/fmha_pagedkv_prefill.py
Normal file
585
example/ck_tile/01_fmha/codegen/ops/fmha_pagedkv_prefill.py
Normal file
@@ -0,0 +1,585 @@
|
||||
# SPDX-License-Identifier: MIT
|
||||
# Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.
|
||||
# generate kernel instances to speed up compilation
|
||||
|
||||
import copy
|
||||
from dataclasses import dataclass
|
||||
import fnmatch
|
||||
import itertools
|
||||
from pathlib import Path
|
||||
from typing import List, Optional, Tuple
|
||||
|
||||
from codegen.cmake_config import *
|
||||
from codegen.cpp_symbol_map import *
|
||||
|
||||
|
||||
DTYPE_BITS = {
|
||||
"fp32": 32,
|
||||
"fp16": 16,
|
||||
"bf16": 16,
|
||||
"fp8" : 8,
|
||||
"bf8" : 8
|
||||
}
|
||||
|
||||
K0_MAX_SUBMAX_MAP = {
|
||||
32 : 32,
|
||||
64 : 64,
|
||||
96 : 128,
|
||||
128: 128,
|
||||
256: 256
|
||||
}
|
||||
|
||||
FMHA_FWD_PAGEDKV_PIPELINE_MAP = {
|
||||
"qr_pagedkv" : "ck_tile::BlockFmhaFwdPagedKVPipelineQRKSVS"
|
||||
}
|
||||
|
||||
FMHA_FWD_KERNEL_HEADER = """// SPDX-License-Identifier: MIT
|
||||
// Copyright (c) 2018-2024, Advanced Micro Devices, Inc. All rights reserved.\n
|
||||
// auto generated by generate.py
|
||||
#include "ck_tile/ops/fmha/block/variants.hpp"
|
||||
#include "fmha_fwd.hpp"
|
||||
"""
|
||||
|
||||
FMHA_FWD_KERNEL_BODY="""
|
||||
using fmha_dtype_{F_idx} = {F_dtype};
|
||||
|
||||
using fmha_block_tile_{F_idx} = ck_tile::sequence<{F_bm0}, {F_bn0}, {F_bk0}, {F_bn1}, {F_bk1}, {F_bk0max}>;
|
||||
|
||||
using fmha_shape_{F_idx} = ck_tile::TileFmhaShape<fmha_block_tile_{F_idx},
|
||||
ck_tile::sequence<{F_rm0}, {F_rn0}, {F_rk0}>,
|
||||
ck_tile::sequence<{F_wm0}, {F_wn0}, {F_wk0}>,
|
||||
ck_tile::sequence<{F_rm1}, {F_rn1}, {F_rk1}>,
|
||||
ck_tile::sequence<{F_wm1}, {F_wn1}, {F_wk1}>,
|
||||
{F_vlayout}>;
|
||||
|
||||
using fmha_trait_{F_idx} = ck_tile::TileFmhaFwdPagedKVTraits<{F_spad},
|
||||
{F_skpad},
|
||||
{F_dpad},
|
||||
{F_dvpad},
|
||||
{F_logits},
|
||||
{F_bias},
|
||||
false,
|
||||
{F_lse}, //lse
|
||||
{F_pagedkv}, //pagedkv
|
||||
{F_squant},
|
||||
{F_occupancy},
|
||||
{F_skip}>;
|
||||
|
||||
using fmha_variant_{F_idx} = ck_tile::ComposedAttention<{F_logits} * ck_tile::LOGITS_SOFT_CAP, CK_TILE_FMHA_FWD_FAST_EXP2>;
|
||||
|
||||
using fmha_mask_{F_idx} = {F_mask};
|
||||
|
||||
using fmha_pipeline_problem_{F_idx} = ck_tile::BlockFmhaFwdPagedKVPipelineProblem<
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::QDataType,
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::KDataType,
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::VDataType,
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::SaccDataType,
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::SMPLComputeDataType,
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::BiasDataType,
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::LSEDataType,
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::PDataType,
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::OaccDataType,
|
||||
typename FmhaFwdTypeConfig<fmha_dtype_{F_idx}>::ODataType,
|
||||
fmha_shape_{F_idx},
|
||||
{F_mode},
|
||||
fmha_variant_{F_idx},
|
||||
fmha_mask_{F_idx},
|
||||
fmha_trait_{F_idx}>;
|
||||
|
||||
using fmha_pipeline_{F_idx} = {F_pipeline}<
|
||||
fmha_pipeline_problem_{F_idx}>;
|
||||
|
||||
using fmha_epilogue_{F_idx} =
|
||||
ck_tile::Default2DEpilogue<ck_tile::Default2DEpilogueProblem<typename FmhaFwdTypeConfig<{F_dtype}>::OaccDataType,
|
||||
typename FmhaFwdTypeConfig<{F_dtype}>::ODataType,
|
||||
{F_spad}, {F_dvpad}>>;
|
||||
|
||||
using fmha_kernel_{F_idx} =
|
||||
ck_tile::FmhaFwdPagedKVKernel<fmha_pipeline_{F_idx}, fmha_epilogue_{F_idx}>;
|
||||
|
||||
using trait_{F_idx} = fmha_fwd_pagedkv_traits_<{F_hdim}, {F_dtype}, {F_mode},{F_bm0}, {F_bn0}, {F_bk0}, {F_bn1}, {F_bk1}, {F_bk0max}, {F_vlayout},
|
||||
{F_pipeline_enum}, {F_logits}, fmha_mask_{F_idx}, {F_bias}, {F_lse}, {F_pagedkv}, {F_squant}, {F_spad}, {F_skpad}, {F_dpad}, {F_dvpad}, {F_skip}>;
|
||||
|
||||
#include <iostream>
|
||||
|
||||
template<>
|
||||
float fmha_fwd_pagedkv_<trait_{F_idx}>(const ck_tile::stream_config& s, fmha_fwd_pagedkv_args a)
|
||||
{{
|
||||
using k_ = fmha_kernel_{F_idx};
|
||||
if(s.log_level_ > 0)
|
||||
std::cout << ", " << k_::GetName() << std::flush;
|
||||
auto [kargs, grids] = fmha_fwd_pagedkv_create_kargs_and_grids<k_>(a);
|
||||
constexpr dim3 blocks = k_::BlockSize();
|
||||
constexpr ck_tile::index_t kBlockPerCu = k_::kBlockPerCu;
|
||||
return ck_tile::launch_kernel(s, ck_tile::make_kernel<blocks.x, kBlockPerCu>(k_{{}}, grids, blocks, 0, kargs));
|
||||
}}
|
||||
"""
|
||||
|
||||
FMHA_FWD_API_FILENAME="fmha_fwd_pagedkv_api.cpp"
|
||||
FMHA_FWD_API="""
|
||||
float fmha_fwd_pagedkv(fmha_fwd_pagedkv_traits& t, fmha_fwd_pagedkv_args& a, const ck_tile::stream_config& s){{
|
||||
float r = -1;
|
||||
{F_dispatch}
|
||||
return r;
|
||||
}}
|
||||
"""
|
||||
|
||||
FMHA_FWD_API_PER_DTYPE=""" {F_if}(t.data_type.compare(\"{F_dtype}\") == 0){{
|
||||
{F_hdim_case}
|
||||
}}
|
||||
"""
|
||||
FMHA_FWD_API_PER_HDIM_CASE=""" {F_if} (t.hdim_q <= {F_hdim} && t.hdim_v <= {F_hdim_v}) {{
|
||||
{F_inner_dispatch}
|
||||
}}
|
||||
"""
|
||||
|
||||
FMHA_FWD_API_INNER_DISPATCH=""" {F_if}((t.is_group_mode == {F_mode}) && (t.is_v_rowmajor == {F_vlayout}) && (t.has_logits_soft_cap == {F_logits}) && ({F_mask_check}) && (t.bias_type == {F_bias_check}) && (t.has_lse == {F_lse}) && (t.use_pagedkv == {F_pagedkv}) && (t.do_fp8_static_quant == {F_squant}) && (t.skip_min_seqlen_q == {F_skip}) &&
|
||||
({F_scheck}) && ({F_skcheck}) && ({F_dcheck}) && ({F_dvcheck})) {{
|
||||
using trait_ = fmha_fwd_pagedkv_traits_<{F_hdim}, {F_dtype}, {F_mode}, {F_bm0}, {F_bn0}, {F_bk0}, {F_bn1}, {F_bk1}, {F_bk0max}, {F_vlayout}, {F_pipeline_enum}, {F_logits}, {F_mask}, {F_bias}, {F_lse}, {F_pagedkv}, {F_squant}, {F_spad}, {F_skpad}, {F_dpad}, {F_dvpad}, {F_skip}>;
|
||||
return fmha_fwd_pagedkv_<trait_>(s, a);
|
||||
}}
|
||||
"""
|
||||
|
||||
@dataclass
|
||||
class FmhaFwdApiTrait:
|
||||
pipeline_tag : str
|
||||
# sync with fmha_fwd_traits<>, to generate fallback calls
|
||||
hdim : str
|
||||
dtype : str # data type
|
||||
mode : str # value from MODE_MAP
|
||||
bm0 : int # tile size along q seqlen (block size)
|
||||
bn0 : int # tile size along qk seqlen
|
||||
bk0 : int # tile size along qk gemm unroll
|
||||
bn1 : int # tile size along v head_dim
|
||||
bk1 : int # tile size along kv gemm unroll
|
||||
bk0max : int
|
||||
vlayout : str
|
||||
logits : str
|
||||
mask : str
|
||||
bias : str #
|
||||
lse : str #
|
||||
pagedkv : str
|
||||
squant : str #
|
||||
spad : str
|
||||
skpad : str
|
||||
dpad : str
|
||||
dvpad : str
|
||||
skip : str
|
||||
|
||||
@property
|
||||
def name(self) -> str:
|
||||
return f'{self.hdim}-{self.dtype}-{self.mode}-{self.bm0}-{self.bn0}-{self.bk0}-{self.bn0}-{self.bk1}-{self.bk0max}-'+\
|
||||
f'{self.vlayout}-{self.logits}-{self.mask}-{self.bias}-{self.lse}-{self.pagedkv}-{self.squant}-{self.spad}-{self.skpad}-{self.dpad}-{self.dvpad}-{self.skip}'
|
||||
|
||||
@property
|
||||
def scheck(self) -> str:
|
||||
if self.mode == 'group': return 'true/*group mode spad always true*/' # group mode only generate spad/skpad == true
|
||||
if self.pipeline_tag == 'qr_async':
|
||||
if self.spad == 't' : return 'true' # always support
|
||||
else : return 'true'
|
||||
elif self.pipeline_tag in ['qr_pagedkv', 'qs']:
|
||||
if self.spad == 't' : return f'true /*a.seqlen_q % {self.bm0} != 0*/' # TODO: order of get_pipelines() matters! (ugly)
|
||||
else : return f'a.seqlen_q % {self.bm0} == 0'
|
||||
else: assert False
|
||||
|
||||
@property
|
||||
def skcheck(self) -> str:
|
||||
if self.mode == 'group': return 'true/*group mode skpad always true*/' # group mode only generate spad/skpad == true
|
||||
if self.pipeline_tag == 'qr_async':
|
||||
if self.skpad == 't' : return f'a.seqlen_k == 0 || a.seqlen_k % {self.bn0} != 0'
|
||||
else : return f'a.seqlen_k != 0 && a.seqlen_k % {self.bn0} == 0'
|
||||
elif self.pipeline_tag in ['qr_pagedkv', 'qs']:
|
||||
if self.skpad == 't' : return f'true /*a.seqlen_k % {self.bn0} != 0*/' # TODO: order of get_pipelines() matters! (ugly)
|
||||
else : return f'a.seqlen_k % {self.bn0} == 0'
|
||||
else: assert False
|
||||
|
||||
@property
|
||||
def dcheck(self) -> str:
|
||||
if self.pipeline_tag == 'qr_async':
|
||||
vec = int((32 * 4) / DTYPE_BITS[self.dtype])
|
||||
if self.dpad == 't': return f'a.hdim_q % {vec} == 0'
|
||||
else : assert False
|
||||
elif self.pipeline_tag in ['qr_pagedkv', 'qs']:
|
||||
bk0submax = K0_MAX_SUBMAX_MAP[self.bk0max]
|
||||
if self.dpad == 't': return f'true /*a.hdim_q % {bk0submax} != 0*/' # TODO: order of get_pipelines() matters! (ugly)
|
||||
else : return f'a.hdim_q % {bk0submax} == 0'
|
||||
else: assert False
|
||||
|
||||
@property
|
||||
def dvcheck(self) -> str:
|
||||
if self.pipeline_tag == 'qr_async':
|
||||
vec = int((32 * 4) / DTYPE_BITS[self.dtype])
|
||||
if self.dvpad == 't': return f'a.hdim_v % {vec} == 0'
|
||||
else : assert False
|
||||
elif self.pipeline_tag in ['qr_pagedkv', 'qs']:
|
||||
bk0submax = K0_MAX_SUBMAX_MAP[self.bk0max]
|
||||
if self.dvpad == 't': return f'true /*a.hdim_v % {bk0submax} != 0*/' # TODO: order of get_pipelines() matters! (ugly)
|
||||
else : return f'a.hdim_v % {bk0submax} == 0'
|
||||
else: assert False
|
||||
|
||||
@dataclass
|
||||
class FmhaFwdPipeline:
|
||||
tag : str
|
||||
|
||||
F_vlayout : str # row/col
|
||||
F_spad : str # true/false
|
||||
F_skpad : str #
|
||||
F_dpad : str #
|
||||
F_dvpad : str #
|
||||
F_logits : str # t/f
|
||||
F_bias : str # true/false
|
||||
F_lse : str #
|
||||
F_pagedkv : str #
|
||||
F_squant : str #
|
||||
F_mask : str # value from MASK_MAP
|
||||
F_skip : str # true/false
|
||||
|
||||
@property
|
||||
def name(self) -> str:
|
||||
def pad_name() -> str:
|
||||
n = ''
|
||||
if self.F_spad == 't': n += 's'
|
||||
if self.F_skpad == 't' : n += 'sk'
|
||||
if self.F_dpad == 't' : n += 'd'
|
||||
if self.F_dvpad == 't' : n += 'dv'
|
||||
if n != '' : n = 'p' + n
|
||||
return n
|
||||
pn = pad_name()
|
||||
n = f'{self.tag}_v{self.F_vlayout[0]}'
|
||||
if pn != '' : n += f'_{pn}'
|
||||
else: n += '_npad'
|
||||
|
||||
if self.F_logits == 't' : n += '_logits'
|
||||
else: n += '_nlogits'
|
||||
|
||||
if self.F_bias != 'no' : n += f'_{self.F_bias}'
|
||||
else: n += '_nbias'
|
||||
|
||||
if self.F_mask[0:2] == 's_':
|
||||
if self.F_mask == 's_mask': n += f'_mask'
|
||||
else: n += '_nmask'
|
||||
else:
|
||||
if self.F_mask != 'no' : n += f'_m{self.F_mask[0]}'
|
||||
else: n += '_nmask'
|
||||
|
||||
if self.F_lse == 't' : n += '_lse'
|
||||
else: n += '_nlse'
|
||||
|
||||
if self.F_skip == 't' : n += '_skip'
|
||||
else: n += '_nskip'
|
||||
|
||||
if self.F_squant == 't' : n += '_squant'
|
||||
else: n += '_nsquant'
|
||||
|
||||
if self.F_pagedkv == 't' : n += '_pagedkv'
|
||||
else: n += '_npagedkv'
|
||||
|
||||
return n
|
||||
|
||||
class FmhaFwdApiPool:
|
||||
def __init__(self, mask_impl):
|
||||
self.pool = dict()
|
||||
self.mask_impl = mask_impl
|
||||
|
||||
def register_traits(self, trait : FmhaFwdApiTrait) -> None:
|
||||
# TODO: do we need to check duplication?
|
||||
if trait.dtype not in self.pool.keys():
|
||||
self.pool[trait.dtype] = dict()
|
||||
if trait.hdim not in self.pool[trait.dtype].keys():
|
||||
self.pool[trait.dtype][trait.hdim] = list()
|
||||
|
||||
self.pool[trait.dtype][trait.hdim].append(copy.copy(trait))
|
||||
|
||||
@property
|
||||
def api(self) -> str:
|
||||
per_dtypes=str()
|
||||
for i, dtype in enumerate(self.pool.keys()):
|
||||
per_hdim_case=str()
|
||||
for j, hdim in enumerate(self.pool[dtype].keys()):
|
||||
traits=self.pool[dtype][hdim]
|
||||
inners=str()
|
||||
for k, trait in enumerate(traits):
|
||||
if_k = 'if' if k == 0 else 'else if'
|
||||
inners = inners + FMHA_FWD_API_INNER_DISPATCH.format(F_if=if_k, F_mode=MODE_MAP[trait.mode], F_vlayout=LAYOUT_MAP[trait.vlayout],
|
||||
F_pipeline_enum=PIPELINE_ENUM_MAP[trait.pipeline_tag], F_logits=BOOL_MAP[trait.logits], F_mask=get_mask_map(self.mask_impl)[trait.mask],
|
||||
F_mask_check=get_mask_check_map(self.mask_impl)[trait.mask], F_bias_check=BIAS_CHECK_MAP[trait.bias], F_bias=BIAS_MAP[trait.bias],
|
||||
F_lse=BOOL_MAP[trait.lse], F_pagedkv=BOOL_MAP[trait.pagedkv], F_skip=BOOL_MAP[trait.skip],
|
||||
F_squant=BOOL_MAP[trait.squant], F_scheck=trait.scheck, F_skcheck=trait.skcheck, F_dcheck=trait.dcheck, F_dvcheck=trait.dvcheck,
|
||||
F_spad=BOOL_MAP[trait.spad], F_skpad=BOOL_MAP[trait.skpad], F_dpad=BOOL_MAP[trait.dpad], F_dvpad=BOOL_MAP[trait.dvpad],
|
||||
F_bm0=trait.bm0, F_bn0=trait.bn0, F_bk0=trait.bk0, F_bn1=trait.bn1, F_bk1=trait.bk1, F_bk0max=trait.bk0max,
|
||||
F_hdim=hdim, F_dtype=FWD_DTYPE_MAP[dtype])
|
||||
if_j = 'if' if j == 0 else 'else if'
|
||||
per_hdim_case = per_hdim_case + FMHA_FWD_API_PER_HDIM_CASE.format(F_if=if_j, F_hdim=hdim, F_hdim_v=trait.bn1, F_inner_dispatch=inners)
|
||||
if_i = 'if' if i == 0 else 'else if'
|
||||
per_dtypes = per_dtypes + FMHA_FWD_API_PER_DTYPE.format(F_if=if_i, F_dtype=dtype, F_hdim_case=per_hdim_case)
|
||||
if not per_dtypes:
|
||||
# empty string we add some ignore to suppress warning in api
|
||||
per_dtypes += ' (void)t ; (void)s ; (void)a;'
|
||||
return FMHA_FWD_KERNEL_HEADER + FMHA_FWD_API.format(F_dispatch = per_dtypes)
|
||||
|
||||
@dataclass
|
||||
class FmhaFwdTileSize:
|
||||
F_bm0 : int # tile size along q seqlen (block size)
|
||||
F_bn0 : int # tile size along k seqlen
|
||||
F_bk0 : int # tile size along qk gemm unroll
|
||||
F_bn1 : int # tile size along v head_dim
|
||||
F_bk1 : int # tile size along kv gemm unroll
|
||||
F_bk0max : int # total length of K0, used for pipeline that need load Q at once (or repeately load Q as a whole tile)
|
||||
F_rm0 : int # number of warps for gemm0 along q seqlen
|
||||
F_rn0 : int # number of warps for gemm0 along k seqlen
|
||||
F_rk0 : int # number of warps for gemm0 along head dim q (not used)
|
||||
F_rm1 : int # number of warps for gemm1 along q seqlen
|
||||
F_rn1 : int # number of warps for gemm1 along head dim v
|
||||
F_rk1 : int # number of warps for gemm1 along k seqlen (not used)
|
||||
F_wm0 : int # gemm0 warp size along m
|
||||
F_wn0 : int # gemm0 warp size along n
|
||||
F_wk0 : int # gemm0 warp size along k
|
||||
F_wm1 : int # gemm1 warp size along m
|
||||
F_wn1 : int # gemm1 warp size along n
|
||||
F_wk1 : int # gemm1 warp size along k
|
||||
F_occupancy : int # occupancy, -1 will let pipeline decide the occupancy, other value will overwrite occupancy
|
||||
@property
|
||||
def name(self) -> str:
|
||||
return f"b{self.F_bm0}x{self.F_bn0}x{self.F_bk0}x{self.F_bn1}x{self.F_bk1}x{self.F_bk0max}" +\
|
||||
f"_r{self.F_rm0}x{self.F_rn0}x{self.F_rk0}_r{self.F_rm1}x{self.F_rn1}x{self.F_rk1}" +\
|
||||
f"_w{self.F_wm0}x{self.F_wn0}x{self.F_wk0}_w{self.F_wm1}x{self.F_wn1}x{self.F_wk1}" +\
|
||||
("" if self.F_occupancy == -1 else f"_o{self.F_occupancy}")
|
||||
|
||||
@dataclass
|
||||
class FmhaFwdKernel:
|
||||
F_idx : int # this is not a tunable, but a counter to differentiate symbol
|
||||
F_hdim : int # hdim
|
||||
F_dtype : str # data type
|
||||
F_mode : str # value from MODE_MAP
|
||||
F_tile : FmhaFwdTileSize
|
||||
F_pipeline : FmhaFwdPipeline
|
||||
mask_impl : str
|
||||
|
||||
@property
|
||||
def template(self) -> str:
|
||||
kernel_body = str()
|
||||
return FMHA_FWD_KERNEL_HEADER + \
|
||||
FMHA_FWD_KERNEL_BODY.format(
|
||||
F_idx = self.F_idx,
|
||||
F_hdim = self.F_hdim,
|
||||
F_dtype = FWD_DTYPE_MAP[self.F_dtype],
|
||||
F_bm0 = self.F_tile.F_bm0,
|
||||
F_bn0 = self.F_tile.F_bn0,
|
||||
F_bk0 = self.F_tile.F_bk0,
|
||||
F_bn1 = self.F_tile.F_bn1,
|
||||
F_bk1 = self.F_tile.F_bk1,
|
||||
F_bk0max = self.F_tile.F_bk0max,
|
||||
F_rm0 = self.F_tile.F_rm0,
|
||||
F_rn0 = self.F_tile.F_rn0,
|
||||
F_rk0 = self.F_tile.F_rk0,
|
||||
F_rm1 = self.F_tile.F_rm1,
|
||||
F_rn1 = self.F_tile.F_rn1,
|
||||
F_rk1 = self.F_tile.F_rk1,
|
||||
F_wm0 = self.F_tile.F_wm0,
|
||||
F_wn0 = self.F_tile.F_wn0,
|
||||
F_wk0 = self.F_tile.F_wk0,
|
||||
F_wm1 = self.F_tile.F_wm1,
|
||||
F_wn1 = self.F_tile.F_wn1,
|
||||
F_wk1 = self.F_tile.F_wk1,
|
||||
F_vlayout = LAYOUT_MAP[self.F_pipeline.F_vlayout],
|
||||
F_spad = BOOL_MAP[self.F_pipeline.F_spad],
|
||||
F_skpad = BOOL_MAP[self.F_pipeline.F_skpad],
|
||||
F_dpad = BOOL_MAP[self.F_pipeline.F_dpad],
|
||||
F_dvpad = BOOL_MAP[self.F_pipeline.F_dvpad],
|
||||
F_logits = BOOL_MAP[self.F_pipeline.F_logits],
|
||||
F_bias = BIAS_MAP[self.F_pipeline.F_bias],
|
||||
F_lse = BOOL_MAP[self.F_pipeline.F_lse],
|
||||
F_pagedkv = BOOL_MAP[self.F_pipeline.F_pagedkv],
|
||||
F_squant = BOOL_MAP[self.F_pipeline.F_squant],
|
||||
F_skip = BOOL_MAP[self.F_pipeline.F_skip],
|
||||
F_occupancy = self.F_tile.F_occupancy,
|
||||
F_pipeline_enum = PIPELINE_ENUM_MAP[self.F_pipeline.tag],
|
||||
F_mask = get_mask_map(self.mask_impl)[self.F_pipeline.F_mask],
|
||||
F_mode = MODE_MAP[self.F_mode],
|
||||
F_pipeline = FMHA_FWD_PAGEDKV_PIPELINE_MAP[self.F_pipeline.tag])
|
||||
|
||||
@property
|
||||
def name(self) -> str:
|
||||
# TODO: we don't encode idx here
|
||||
return f"fmha_fwd_pagedkv_d{self.F_hdim}_{self.F_dtype}_{self.F_mode}_" + \
|
||||
self.F_tile.name + '_' + self.F_pipeline.name
|
||||
|
||||
@property
|
||||
def filename(self) -> str:
|
||||
return self.name + ".cpp"
|
||||
|
||||
def api_trait(self) -> FmhaFwdApiTrait:
|
||||
return FmhaFwdApiTrait(
|
||||
pipeline_tag=self.F_pipeline.tag,
|
||||
hdim=str(self.F_hdim),
|
||||
dtype=self.F_dtype,
|
||||
mode=self.F_mode,
|
||||
bm0=self.F_tile.F_bm0,
|
||||
bn0=self.F_tile.F_bn0,
|
||||
bk0=self.F_tile.F_bk0,
|
||||
bn1=self.F_tile.F_bn1,
|
||||
bk1=self.F_tile.F_bk1,
|
||||
bk0max=self.F_tile.F_bk0max,
|
||||
vlayout=self.F_pipeline.F_vlayout,
|
||||
mask=self.F_pipeline.F_mask,
|
||||
logits=self.F_pipeline.F_logits,
|
||||
bias=self.F_pipeline.F_bias,
|
||||
lse=self.F_pipeline.F_lse,
|
||||
pagedkv=self.F_pipeline.F_pagedkv,
|
||||
squant=self.F_pipeline.F_squant,
|
||||
spad=self.F_pipeline.F_spad,
|
||||
skpad=self.F_pipeline.F_skpad,
|
||||
dpad=self.F_pipeline.F_dpad,
|
||||
dvpad=self.F_pipeline.F_dvpad,
|
||||
skip=self.F_pipeline.F_skip)
|
||||
|
||||
# TODO: design a more practical way to do it
|
||||
# this is current supported tile size per hdim
|
||||
def get_fmha_fwd_tile_dict_from_dtype(dtype : str) -> Optional[dict]:
|
||||
if dtype == 'fp16' or dtype == 'bf16':
|
||||
return {
|
||||
# '32' : FmhaFwdTileSize(128, 64, 16, 32, 32, 32, 2, 1, 1, 2, 1, 1, 32, 32, 16, 32, 32, 16, -1),
|
||||
# '64' : FmhaFwdTileSize(128, 64, 32, 64, 32, 64, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
|
||||
### '96' : FmhaFwdTileSize(128, 128, 32, 128, 32, 96, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
|
||||
'128' : FmhaFwdTileSize(128, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
|
||||
# '192' : FmhaFwdTileSize(128, 128, 32, 128, 32, 192, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
|
||||
# '256' : FmhaFwdTileSize(128, 128, 32, 256, 32, 256, 4, 1, 1, 4, 1, 1, 32, 32, 16, 32, 32, 16, -1),
|
||||
}
|
||||
elif dtype == 'fp8' or dtype == 'bf8':
|
||||
return {
|
||||
'64' : FmhaFwdTileSize(128, 64, 32, 64, 32, 64, 2, 1, 1, 2, 1, 1, 32, 32, 32, 32, 32, 32, -1),
|
||||
'128' : FmhaFwdTileSize(128, 128, 32, 128, 32, 128, 4, 1, 1, 4, 1, 1, 32, 32, 32, 32, 32, 32, -1),
|
||||
'256' : FmhaFwdTileSize(128, 128, 32, 256, 32, 256, 4, 1, 1, 4, 1, 1, 32, 32, 32, 32, 32, 32, -1),
|
||||
}
|
||||
else:
|
||||
return None
|
||||
|
||||
def get_fwd_blobs(kernel_filter : Optional[str], receipt, optdim_list, mask_impl) -> Tuple[FmhaFwdApiPool, List[FmhaFwdKernel]]:
|
||||
# TODO: we don't support tuning yet, so pick up one value for vlayout/pipeline/pad
|
||||
# support this in future
|
||||
def get_pipelines(dtype, hdim) -> List[FmhaFwdPipeline]:
|
||||
# this function will populate a list possible pipelines
|
||||
# TODO: the order of List matters! the later in this list will be also be checked later
|
||||
# TODO: currently for qr_pagedkv pipeline, let 't' padding to appear later!!
|
||||
# TODO: how to design this more generic?
|
||||
squant = 't' if dtype == 'fp8' else 'f'
|
||||
pipelines = []
|
||||
if dtype in ['fp16', 'bf16']:
|
||||
for logits, mask, bias, pagedkv, skip in itertools.product(["t", "f"], get_mask_map(mask_impl).keys(), BIAS_MAP.keys(), ["t", "f"], ["t", "f"]):
|
||||
pipelines.append(FmhaFwdPipeline('qr_pagedkv', 'col', 't', 'f', 'f', 'f', logits, bias, 'f', pagedkv, squant, mask, skip))
|
||||
pipelines.append(FmhaFwdPipeline('qr_pagedkv', 'col', 't', 't', 'f', 'f', logits, bias, 'f', pagedkv, squant, mask, skip))
|
||||
pipelines.append(FmhaFwdPipeline('qr_pagedkv', 'row', 't', 'f', 'f', 'f', logits, bias, 'f', pagedkv, squant, mask, skip))
|
||||
pipelines.append(FmhaFwdPipeline('qr_pagedkv', 'row', 't', 't', 'f', 'f', logits, bias, 'f', pagedkv, squant, mask, skip))
|
||||
elif dtype in ['fp8', 'bf8']:
|
||||
# TODO
|
||||
None
|
||||
elif dtype in ['fp8fp16', 'fp8bf16']:
|
||||
# TODO
|
||||
None
|
||||
else:
|
||||
assert False
|
||||
return pipelines
|
||||
|
||||
gen = list()
|
||||
api_pool = FmhaFwdApiPool(mask_impl)
|
||||
|
||||
for dtype in FWD_DTYPE_MAP.keys():
|
||||
d = get_fmha_fwd_tile_dict_from_dtype(dtype)
|
||||
if d == None:
|
||||
continue
|
||||
#for hdim_str, mode, mask, bias, lse in itertools.product(d.keys(), MODE_MAP.keys(), MASK_MAP.keys(), ["t", "f"], ["t", "f"]):
|
||||
for hdim_str, mode in itertools.product(d.keys(), MODE_MAP.keys()):
|
||||
tile = d[hdim_str]
|
||||
hdim = int(hdim_str)
|
||||
for pipeline in get_pipelines(dtype, hdim):
|
||||
# if pipeline.F_pagedkv == 'f':
|
||||
# continue
|
||||
if mode == "group":
|
||||
if pipeline.F_spad != 't' or pipeline.F_skpad != 't':
|
||||
# in group mode, spad/skpad must be true, since we can't predict if seqlen of current batch need pad or not
|
||||
continue
|
||||
if hdim == 192 and tile.F_bn1 == 128:
|
||||
# NOTE: this is used to speedup deepseek prefill case, we don't gen training
|
||||
if pipeline.F_bias != 'no' or pipeline.F_lse == 't' :
|
||||
continue
|
||||
# logits_soft_cap is only allowed if no bias
|
||||
if not ((pipeline.F_logits == 't' and pipeline.F_bias == 'no') or pipeline.F_logits == 'f'):
|
||||
continue
|
||||
k = FmhaFwdKernel(F_idx=0,
|
||||
F_hdim=hdim,
|
||||
F_dtype=dtype,
|
||||
F_mode=mode,
|
||||
F_tile=tile,
|
||||
F_pipeline=pipeline,
|
||||
mask_impl=mask_impl)
|
||||
if kernel_filter != '':
|
||||
if not fnmatch.fnmatch(k.name, kernel_filter):
|
||||
continue
|
||||
if optdim_list != [-1]:
|
||||
if hdim not in optdim_list:
|
||||
continue
|
||||
# 2 - Flash attention integration
|
||||
if receipt in (2, 3):
|
||||
cond = dtype in ['fp16', 'bf16']
|
||||
cond &= pipeline.F_vlayout == 'row'
|
||||
cond &= pipeline.F_bias in ['no', 'alibi']
|
||||
cond &= pipeline.F_squant == 'f'
|
||||
cond &= pipeline.F_skip == 'f'
|
||||
if not cond:
|
||||
continue
|
||||
# PyTorch integration
|
||||
elif receipt == 4:
|
||||
cond = dtype in ['fp16', 'bf16']
|
||||
cond &= pipeline.F_vlayout == 'row'
|
||||
cond &= pipeline.F_bias in ['no', 'bias']
|
||||
cond &= pipeline.F_squant == 'f'
|
||||
cond &= pipeline.F_skip == 'f'
|
||||
if not cond:
|
||||
continue
|
||||
# Aiter(mha_fwd) integration
|
||||
elif receipt == 100:
|
||||
cond = dtype in ['fp16', 'bf16']
|
||||
cond &= mode == 'batch'
|
||||
cond &= pipeline.F_vlayout == 'row'
|
||||
cond &= pipeline.F_squant == 'f'
|
||||
if not cond:
|
||||
continue
|
||||
# Aiter(mha_varlen_fwd) integration
|
||||
elif receipt == 200:
|
||||
cond = dtype in ['fp16', 'bf16']
|
||||
cond &= mode == 'group'
|
||||
cond &= pipeline.F_vlayout == 'row'
|
||||
cond &= pipeline.F_squant == 'f'
|
||||
if not cond:
|
||||
continue
|
||||
# aiter::mha_fwd C++ api integration
|
||||
elif receipt == 600:
|
||||
cond = dtype in ['fp16', 'bf16']
|
||||
cond &= pipeline.F_vlayout == 'row'
|
||||
cond &= pipeline.F_squant == 'f'
|
||||
if not cond:
|
||||
continue
|
||||
|
||||
api_pool.register_traits(k.api_trait())
|
||||
gen.append(k)
|
||||
|
||||
return (api_pool, gen)
|
||||
|
||||
def write_single_fwd_kernel(kernel: FmhaFwdKernel, autogen_dir: Path) -> None:
|
||||
(autogen_dir / kernel.filename).write_text(kernel.template)
|
||||
|
||||
def write_fwd_api(api_pool : FmhaFwdApiPool, autogen_dir: Path) -> None:
|
||||
(autogen_dir / FMHA_FWD_API_FILENAME).write_text(api_pool.api)
|
||||
|
||||
def write_blobs(output_dir : Path, kernel_filter : str, receipt, optdim_list, mask_impl) -> None:
|
||||
api_pool, kernels = get_fwd_blobs(kernel_filter, receipt, optdim_list, mask_impl)
|
||||
for kernel in kernels:
|
||||
write_single_fwd_kernel(kernel, output_dir)
|
||||
write_fwd_api(api_pool, output_dir)
|
||||
|
||||
def list_blobs(file_path : Path, kernel_filter : str, receipt, optdim_list, mask_impl) -> None:
|
||||
with file_path.open('a') as f:
|
||||
_, kernels = get_fwd_blobs(kernel_filter, receipt, optdim_list, mask_impl)
|
||||
for kernel in kernels:
|
||||
f.write(str(file_path.parent / GEN_DIR / kernel.filename) + "\n")
|
||||
f.write(str(file_path.parent / GEN_DIR / FMHA_FWD_API_FILENAME) + "\n")
|
||||
Reference in New Issue
Block a user