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[Speculative Decoding][MTP]Support attn mask offset (#4641)
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* [MTP]Merge support attn (#4591) * support mask_offset in speculate decoding * fix dummpy run output * add unit test * fix unit test import * support attn_mask_offset in mtp mode * add update_attn_mask op * fix unit test && fix code-style
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@@ -16,115 +16,116 @@
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template <int THREADBLOCK_SIZE>
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__global__ void speculate_update(int *seq_lens_encoder,
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int *seq_lens_decoder,
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bool *not_need_stop,
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int64_t *draft_tokens,
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int *actual_draft_token_nums,
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const int64_t *accept_tokens,
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const int *accept_num,
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const bool *stop_flags,
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const int *seq_lens_this_time,
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const bool *is_block_step,
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const int64_t *stop_nums,
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const int real_bsz,
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const int max_bsz,
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const int max_draft_tokens) {
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const int bid = threadIdx.x;
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const int accept_num_now = accept_num[bid];
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int stop_flag_now_int = 0;
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if (!(is_block_step[bid] || bid >= real_bsz)) {
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if (stop_flags[bid]) {
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stop_flag_now_int = 1;
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}
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if (seq_lens_encoder[bid] == 0) {
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seq_lens_decoder[bid] += accept_num_now;
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}
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if (seq_lens_this_time[bid] > 1 &&
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seq_lens_encoder[bid] ==
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0) { // 对于append模式,需要根据接收与否确定是否要降低下次draft
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// token的数量
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auto current_actual_draft_token_num = actual_draft_token_nums[bid];
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if (accept_num_now - 1 == current_actual_draft_token_num) {
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if (current_actual_draft_token_num + 2 <=
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max_draft_tokens - 1) {
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actual_draft_token_nums[bid] =
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current_actual_draft_token_num + 2;
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} else if (current_actual_draft_token_num + 1 <=
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max_draft_tokens - 1) {
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actual_draft_token_nums[bid] =
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current_actual_draft_token_num + 1;
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} else {
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actual_draft_token_nums[bid] = max_draft_tokens - 1;
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}
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} else {
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actual_draft_token_nums[bid] =
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actual_draft_token_nums[bid] - 1 >= 1
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? actual_draft_token_nums[bid] - 1
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: 1;
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}
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}
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if (seq_lens_encoder[bid] != 0) {
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seq_lens_decoder[bid] += seq_lens_encoder[bid];
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seq_lens_encoder[bid] = 0;
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}
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draft_tokens[bid * max_draft_tokens] =
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accept_tokens[bid * max_draft_tokens + accept_num_now - 1];
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} else if (bid >= real_bsz && bid < max_bsz) {
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stop_flag_now_int = 1;
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int *seq_lens_decoder,
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bool *not_need_stop,
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int64_t *draft_tokens,
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int *actual_draft_token_nums,
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const int64_t *accept_tokens,
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const int *accept_num,
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const bool *stop_flags,
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const int *seq_lens_this_time,
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const bool *is_block_step,
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const int64_t *stop_nums,
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int *mask_rollback,
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const int real_bsz,
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const int max_bsz,
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const int max_draft_tokens) {
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const int bid = threadIdx.x;
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const int accept_num_now = accept_num[bid];
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int stop_flag_now_int = 0;
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if (!(is_block_step[bid] || bid >= real_bsz)) {
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if (stop_flags[bid]) {
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stop_flag_now_int = 1;
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mask_rollback[bid] = 0;
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} else if (seq_lens_encoder[bid] == 0) { // decoder
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seq_lens_decoder[bid] += accept_num_now;
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mask_rollback[bid] = seq_lens_this_time[bid] - accept_num_now;
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} else { // encoder
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mask_rollback[bid] = 0;
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}
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__syncthreads();
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typedef cub::BlockReduce<int64_t, THREADBLOCK_SIZE> BlockReduce;
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__shared__ typename BlockReduce::TempStorage temp_storage;
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// printf("stop_flag_now_int %d \n", stop_flag_now_int);
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int64_t stop_sum = BlockReduce(temp_storage).Sum(stop_flag_now_int);
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if (threadIdx.x == 0) {
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// printf("stop_sum %d \n", stop_sum);
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not_need_stop[0] = stop_sum < stop_nums[0];
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if (seq_lens_this_time[bid] > 1 &&
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seq_lens_encoder[bid] ==
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0) { // 对于append模式,需要根据接收与否确定是否要降低下次draft
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// token的数量
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auto current_actual_draft_token_num = actual_draft_token_nums[bid];
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if (accept_num_now - 1 == current_actual_draft_token_num) {
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if (current_actual_draft_token_num + 2 <= max_draft_tokens - 1) {
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actual_draft_token_nums[bid] = current_actual_draft_token_num + 2;
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} else if (current_actual_draft_token_num + 1 <= max_draft_tokens - 1) {
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actual_draft_token_nums[bid] = current_actual_draft_token_num + 1;
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} else {
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actual_draft_token_nums[bid] = max_draft_tokens - 1;
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}
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} else {
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actual_draft_token_nums[bid] = actual_draft_token_nums[bid] - 1 >= 1
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? actual_draft_token_nums[bid] - 1
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: 1;
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}
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}
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if (seq_lens_encoder[bid] != 0) {
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seq_lens_decoder[bid] += seq_lens_encoder[bid];
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seq_lens_encoder[bid] = 0;
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}
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draft_tokens[bid * max_draft_tokens] =
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accept_tokens[bid * max_draft_tokens + accept_num_now - 1];
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} else if (bid >= real_bsz && bid < max_bsz) {
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stop_flag_now_int = 1;
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}
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__syncthreads();
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typedef cub::BlockReduce<int64_t, THREADBLOCK_SIZE> BlockReduce;
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__shared__ typename BlockReduce::TempStorage temp_storage;
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// printf("stop_flag_now_int %d \n", stop_flag_now_int);
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int64_t stop_sum = BlockReduce(temp_storage).Sum(stop_flag_now_int);
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if (threadIdx.x == 0) {
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// printf("stop_sum %d \n", stop_sum);
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not_need_stop[0] = stop_sum < stop_nums[0];
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}
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}
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void SpeculateUpdate(const paddle::Tensor &seq_lens_encoder,
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const paddle::Tensor &seq_lens_decoder,
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const paddle::Tensor ¬_need_stop,
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const paddle::Tensor &draft_tokens,
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const paddle::Tensor &actual_draft_token_nums,
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const paddle::Tensor &accept_tokens,
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const paddle::Tensor &accept_num,
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const paddle::Tensor &stop_flags,
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const paddle::Tensor &seq_lens_this_time,
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const paddle::Tensor &is_block_step,
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const paddle::Tensor &stop_nums) {
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const int real_bsz = seq_lens_this_time.shape()[0];
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const int max_bsz = stop_flags.shape()[0];
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auto max_draft_tokens = draft_tokens.shape()[1];
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const paddle::Tensor &seq_lens_decoder,
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const paddle::Tensor ¬_need_stop,
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const paddle::Tensor &draft_tokens,
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const paddle::Tensor &actual_draft_token_nums,
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const paddle::Tensor &accept_tokens,
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const paddle::Tensor &accept_num,
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const paddle::Tensor &stop_flags,
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const paddle::Tensor &seq_lens_this_time,
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const paddle::Tensor &is_block_step,
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const paddle::Tensor &stop_nums,
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const paddle::Tensor &mask_rollback) {
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const int real_bsz = seq_lens_this_time.shape()[0];
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const int max_bsz = stop_flags.shape()[0];
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auto max_draft_tokens = draft_tokens.shape()[1];
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constexpr int BlockSize = 512;
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constexpr int BlockSize = 512;
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auto not_need_stop_gpu = not_need_stop.copy_to(stop_flags.place(), false);
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speculate_update<BlockSize><<<1, BlockSize, 0, accept_tokens.stream()>>>(
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const_cast<int *>(seq_lens_encoder.data<int>()),
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const_cast<int *>(seq_lens_decoder.data<int>()),
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const_cast<bool *>(not_need_stop_gpu.data<bool>()),
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const_cast<int64_t *>(draft_tokens.data<int64_t>()),
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const_cast<int *>(actual_draft_token_nums.data<int>()),
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accept_tokens.data<int64_t>(),
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accept_num.data<int>(),
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stop_flags.data<bool>(),
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seq_lens_this_time.data<int>(),
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is_block_step.data<bool>(),
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stop_nums.data<int64_t>(),
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real_bsz,
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max_bsz,
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max_draft_tokens);
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auto not_need_stop_gpu = not_need_stop.copy_to(stop_flags.place(), false);
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speculate_update<BlockSize><<<1, BlockSize, 0, accept_tokens.stream()>>>(
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const_cast<int *>(seq_lens_encoder.data<int>()),
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const_cast<int *>(seq_lens_decoder.data<int>()),
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const_cast<bool *>(not_need_stop_gpu.data<bool>()),
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const_cast<int64_t *>(draft_tokens.data<int64_t>()),
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const_cast<int *>(actual_draft_token_nums.data<int>()),
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accept_tokens.data<int64_t>(),
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accept_num.data<int>(),
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stop_flags.data<bool>(),
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seq_lens_this_time.data<int>(),
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is_block_step.data<bool>(),
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stop_nums.data<int64_t>(),
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const_cast<int *>(mask_rollback.data<int>()),
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real_bsz,
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max_bsz,
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max_draft_tokens);
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auto not_need_stop_cpu =
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not_need_stop_gpu.copy_to(not_need_stop.place(), true);
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bool *not_need_stop_data = const_cast<bool *>(not_need_stop.data<bool>());
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not_need_stop_data[0] = not_need_stop_cpu.data<bool>()[0];
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auto not_need_stop_cpu =
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not_need_stop_gpu.copy_to(not_need_stop.place(), true);
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bool *not_need_stop_data = const_cast<bool *>(not_need_stop.data<bool>());
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not_need_stop_data[0] = not_need_stop_cpu.data<bool>()[0];
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}
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PD_BUILD_STATIC_OP(speculate_update)
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@@ -138,15 +139,18 @@ PD_BUILD_STATIC_OP(speculate_update)
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"stop_flags",
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"seq_lens_this_time",
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"is_block_step",
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"stop_nums"})
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"stop_nums",
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"mask_rollback"})
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.Outputs({"seq_lens_encoder_out",
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"seq_lens_decoder_out",
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"not_need_stop_out",
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"draft_tokens_out",
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"actual_draft_token_nums_out"})
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"actual_draft_token_nums_out",
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"mask_rollback_out"})
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.SetInplaceMap({{"seq_lens_encoder", "seq_lens_encoder_out"},
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{"seq_lens_decoder", "seq_lens_decoder_out"},
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{"not_need_stop", "not_need_stop_out"},
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{"draft_tokens", "draft_tokens_out"},
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{"actual_draft_token_nums", "actual_draft_token_nums_out"}})
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{"actual_draft_token_nums", "actual_draft_token_nums_out"},
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{"mask_rollback", "mask_rollback_out"}})
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.SetKernelFn(PD_KERNEL(SpeculateUpdate));
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