209 lines
6.2 KiB
Markdown
209 lines
6.2 KiB
Markdown
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# SparseAttnSharedkvMetadata
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## 产品支持情况
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| 产品 | 是否支持 |
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| ------------------------------------------------------------ | :------: |
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|<term>Atlas A2 推理系列产品</term> | √ |
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|<term>Atlas A3 推理系列产品</term> | √ |
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## 功能说明
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- API功能：`SparseAttnSharedkvMetadata`算子旨在生成一个任务列表，包含每个AIcore的Attention计算任务的起止点的Batch、Head、以及 Q 和 K 的分块的索引，供后续`SparseAttnSharedkv`算子使用。
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## 参数说明
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<table style="undefined;table-layout: fixed; width: 1576px">
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<colgroup>
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<col style="width: 170px">
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<col style="width: 170px">
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<col style="width: 310px">
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<col style="width: 212px">
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<col style="width: 100px">
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</colgroup>
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<thead>
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<tr>
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<th>参数名</th>
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<th>输入/输出/属性</th>
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<th>描述</th>
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<th>数据类型</th>
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<th>数据格式</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>num_heads_q</td>
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<td>属性</td>
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<td>Q的多头数，目前仅支持64。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>num_heads_kv</td>
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<td>属性</td>
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<td>K和V的多头数，目前仅支持1。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>head_dim</td>
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<td>属性</td>
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<td>注意力头的维度，目前仅支持512。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>cu_seqlens_q</td>
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<td>可选输入</td>
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<td>当layout_query为TND时，表示不同Batch中q的有效token数，维度为B+1，大小为参数中每个元素的值表示当前batch与之前所有batch的token数总和，即前缀和。</td>
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<td>INT32</td>
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<td>ND</td>
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</tr>
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<tr>
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<td>cu_seqlens_ori_kv</td>
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<td>可选输入</td>
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<td>当layout_kv为TND时，表示不同Batch中ori_kv的有效token数，维度为B+1，大小为参数中每个元素的值表示当前batch与之前所有batch的token数总和，即前缀和。目前layout_kv仅支持PA_ND，故设置此参数无效。</td>
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<td>INT32</td>
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<td>ND</td>
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</tr>
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<tr>
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<td>cu_seqlens_cmp_kv</td>
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<td>可选输入</td>
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<td>当layout_kv为TND时，表示不同Batch中cmp_kv的有效token数，维度为B+1，大小为参数中每个元素的值表示当前batch与之前所有batch的token数总和，即前缀和。目前layout_kv仅支持PA_ND，故设置此参数无效。</td>
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<td>INT32</td>
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<td>ND</td>
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</tr>
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<tr>
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<td>seqused_q</td>
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<td>可选输入</td>
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<td>表示不同Batch中q实际参与运算的token数，维度为B。目前暂不支持指定该参数。</td>
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<td>INT32</td>
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<td>ND</td>
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</tr>
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<tr>
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<td>seqused_kv</td>
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<td>可选输入</td>
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<td>表示不同Batch中ori_kv实际参与运算的token数，维度为B。</td>
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<td>INT32</td>
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<td>ND</td>
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</tr>
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<tr>
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<td>batch_size</td>
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<td>可选属性</td>
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<td>输入样本批量大小。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>max_seqlen_q</td>
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<td>可选属性</td>
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<td>表示所有batch中`q`的最大有效token数。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>max_seqlen_kv</td>
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<td>可选属性</td>
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<td>表示所有batch中`ori_kv`的最大有效token数。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>ori_topk</td>
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<td>可选属性</td>
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<td>表示通过QLI算法从`ori_kv`中筛选出的关键稀疏token的个数。目前暂不支持指定该参数。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>cmp_topk</td>
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<td>可选属性</td>
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<td>表示通过QLI算法从`cmp_kv`中筛选出的关键稀疏token的个数，目前仅支持512。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>cmp_ratio</td>
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<td>可选属性</td>
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<td>表示对`ori_kv`的压缩率，数据范围支持4/128，</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>ori_mask_mode</td>
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<td>可选属性</td>
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<td>表示q和ori_kv计算的mask模式，仅支持输入默认值4，代表band模式的mask。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>cmp_mask_mode</td>
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<td>可选属性</td>
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<td>表示q和cmp_kv计算的mask模式，仅支持输入默认值3，代表rightDownCausal模式的mask。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>ori_win_left</td>
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<td>可选属性</td>
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<td>表示q和ori_kv计算中q对过去token计算的数量，仅支持默认值127。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>ori_win_right</td>
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<td>可选属性</td>
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<td>表示q和ori_kv计算中q对未来token计算的数量，仅支持默认值0。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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<tr>
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<td>layout_q</td>
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<td>可选属性</td>
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<td>用于标识输入q的数据排布格式,默认值为BSND，目前支持传入BSND和TND。</td>
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<td>STRING</td>
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</tr>
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<tr>
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<td>layout_kv</td>
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<td>可选属性</td>
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<td>用于标识输入ori_kv和cmp_kv的数据排布格式，目前仅支持传入默认值PA_ND。</td>
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<td>STRING</td>
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<td>-</td>
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</tr>
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<tr>
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<td>has_ori_kv</td>
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<td>可选属性</td>
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<td>是否传入ori_kv。</td>
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<td>BOOL</td>
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<td>-</td>
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</tr>
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<tr>
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<td>has_cmp_kv</td>
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<td>可选属性</td>
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<td>是否传入cmp_kv。</td>
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<td>BOOL</td>
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<td>-</td>
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</tr>
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<tr>
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<td>device</td>
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<td>可选属性</td>
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<td>用于获取设备信息。</td>
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<td>STRING</td>
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<td>-</td>
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</tr>
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<tr>
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<td>metadata</td>
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<td>输出</td>
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<td>每个cube核上FlashAttention计算任务的Batch、Head、以及 Q 和 K 的分块的索引，以及每个vector核上FlashDecode的规约任务索引。</td>
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<td>INT32</td>
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<td>-</td>
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</tr>
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</tbody>
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</table>
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## 约束说明
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- 该接口支持推理场景下使用。
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- 该接口支持aclgraph模式。
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- Tensor不能全传None。
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