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[Feature] support mtp distribution equivalence verification (#4699)
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@@ -12,12 +12,13 @@
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "helper.h" // NOLINT
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#include <cstdlib>
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#include <curand_kernel.h>
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#include <cstdlib>
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#include <string>
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#include "helper.h" // NOLINT
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__device__ inline bool is_in(const int64_t *candidates, const int64_t draft,
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__device__ inline bool is_in(const int64_t *candidates,
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const int64_t draft,
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const int candidate_len) {
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for (int i = 0; i < candidate_len; i++) {
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if (draft == candidates[i]) {
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@@ -48,8 +49,10 @@ __device__ int64_t topp_sampling_kernel(const int64_t *candidate_ids,
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return candidate_ids[0];
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}
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__global__ void setup_kernel(curandState_t *state, const uint64_t seed,
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const uint64_t offset, const int bs,
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__global__ void setup_kernel(curandState_t *state,
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const uint64_t seed,
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const uint64_t offset,
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const int bs,
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const bool need_batch_random) {
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int idx = blockIdx.x * blockDim.x + threadIdx.x;
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for (int i = idx; i < bs; i += gridDim.x * blockDim.x) {
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@@ -62,18 +65,35 @@ __global__ void setup_kernel(curandState_t *state, const uint64_t seed,
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}
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template <bool ENABLE_TOPP, bool USE_TOPK>
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__global__ void speculate_verify(
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int64_t *accept_tokens, int *accept_num, int64_t *step_idx,
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bool *stop_flags, const int *seq_lens_encoder, const int *seq_lens_decoder,
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const int64_t *draft_tokens, const int *actual_draft_token_nums,
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curandState_t *dev_curand_states, const float *topp,
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const int *seq_lens_this_time, const int64_t *verify_tokens,
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const float *verify_scores, const int64_t *max_dec_len,
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const int64_t *end_tokens, const bool *is_block_step,
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const int *output_cum_offsets, const int *actual_candidate_len,
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const int real_bsz, const int max_draft_tokens, const int end_length,
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const int max_seq_len, const int max_candidate_len, const int verify_window,
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const bool prefill_one_step_stop, const bool benchmark_mode, const bool accept_all_drafts) {
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__global__ void speculate_verify(const int64_t *sampled_token_ids,
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int64_t *accept_tokens,
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int *accept_num,
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int64_t *step_idx,
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bool *stop_flags,
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const int *seq_lens_encoder,
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const int *seq_lens_decoder,
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const int64_t *draft_tokens,
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const int *actual_draft_token_nums,
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curandState_t *dev_curand_states,
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const float *topp,
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const int *seq_lens_this_time,
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const int64_t *verify_tokens,
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const float *verify_scores,
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const int64_t *max_dec_len,
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const int64_t *end_tokens,
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const bool *is_block_step,
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const int *output_cum_offsets,
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const int *actual_candidate_len,
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const int real_bsz,
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const int max_draft_tokens,
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const int end_length,
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const int max_seq_len,
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const int max_candidate_len,
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const int verify_window,
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const bool prefill_one_step_stop,
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const bool benchmark_mode,
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const bool accept_all_drafts,
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const bool use_target_sampling) {
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const int bid = threadIdx.x;
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// verify and set stop flags
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int accept_num_now = 1;
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@@ -84,12 +104,13 @@ __global__ void speculate_verify(
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if (stop_flags[bid]) {
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stop_flag_now_int = 1;
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} else { // 这里prefill阶段也会进入,但是因为draft
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// tokens会置零,因此会直接到最后的采样阶段
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} else { // 这里prefill阶段也会进入,但是因为draft
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// tokens会置零,因此会直接到最后的采样阶段
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auto *verify_tokens_now =
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verify_tokens + start_token_id * max_candidate_len;
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auto *draft_tokens_now = draft_tokens + bid * max_draft_tokens;
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auto *actual_candidate_len_now = actual_candidate_len + start_token_id;
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auto *sampled_token_id_now = sampled_token_ids + start_token_id;
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int i = 0;
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// printf("seq_lens_this_time[%d]-1: %d \n",bid,
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@@ -119,7 +140,25 @@ __global__ void speculate_verify(
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}
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continue;
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}
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if (USE_TOPK) {
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if (use_target_sampling) {
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if (sampled_token_id_now[i] == draft_tokens_now[i + 1]) {
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step_idx[bid]++;
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auto accept_token = draft_tokens_now[i + 1];
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accept_tokens[bid * max_draft_tokens + i] = accept_token;
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if (is_in_end(accept_token, end_tokens, end_length) ||
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step_idx[bid] >= max_dec_len[bid]) {
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stop_flags[bid] = true;
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stop_flag_now_int = 1;
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if (step_idx[bid] >= max_dec_len[bid])
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accept_tokens[bid * max_draft_tokens + i] = end_tokens[0];
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break;
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} else {
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accept_num_now++;
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}
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} else {
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break;
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}
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} else if (USE_TOPK) {
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if (verify_tokens_now[i * max_candidate_len] ==
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draft_tokens_now[i + 1]) {
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// accept_num_now++;
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@@ -149,7 +188,8 @@ __global__ void speculate_verify(
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? max_candidate_len
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: actual_candidate_len_now[i];
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if (is_in(verify_tokens_now + i * max_candidate_len,
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draft_tokens_now[i + 1], actual_candidate_len_value)) {
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draft_tokens_now[i + 1],
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actual_candidate_len_value)) {
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// Top P verify
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// accept_num_now++;
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step_idx[bid]++;
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@@ -173,7 +213,7 @@ __global__ void speculate_verify(
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int ii = i;
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if (max_candidate_len >= 2 &&
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verify_tokens_now[ii * max_candidate_len + 1] ==
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draft_tokens_now[ii + 1]) { // top-2
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draft_tokens_now[ii + 1]) { // top-2
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int j = 0;
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ii += 1;
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for (; j < verify_window && ii < seq_lens_this_time[bid] - 1;
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@@ -183,7 +223,7 @@ __global__ void speculate_verify(
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break;
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}
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}
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if (j >= verify_window) { // accept all
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if (j >= verify_window) { // accept all
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accept_num_now += verify_window + 1;
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step_idx[bid] += verify_window + 1;
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for (; i < ii; i++) {
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@@ -225,16 +265,20 @@ __global__ void speculate_verify(
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const float *verify_scores_now =
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verify_scores + start_token_id * max_candidate_len;
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step_idx[bid]++;
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if (ENABLE_TOPP) {
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if (use_target_sampling) {
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accept_token = sampled_token_id_now[i];
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} else if (ENABLE_TOPP) {
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auto actual_candidate_len_value =
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actual_candidate_len_now[i] > max_candidate_len
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? max_candidate_len
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: actual_candidate_len_now[i];
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accept_token = topp_sampling_kernel(
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verify_tokens_now + i * max_candidate_len,
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verify_scores_now + i * max_candidate_len, dev_curand_states,
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actual_candidate_len_value, topp[bid]);
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accept_token =
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topp_sampling_kernel(verify_tokens_now + i * max_candidate_len,
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verify_scores_now + i * max_candidate_len,
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dev_curand_states,
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actual_candidate_len_value,
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topp[bid]);
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} else {
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accept_token = verify_tokens_now[i * max_candidate_len];
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}
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@@ -255,19 +299,29 @@ __global__ void speculate_verify(
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}
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}
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void SpeculateVerify(
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const paddle::Tensor &accept_tokens, const paddle::Tensor &accept_num,
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const paddle::Tensor &step_idx, const paddle::Tensor &stop_flags,
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const paddle::Tensor &seq_lens_encoder,
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const paddle::Tensor &seq_lens_decoder, const paddle::Tensor &draft_tokens,
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const paddle::Tensor &seq_lens_this_time,
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const paddle::Tensor &verify_tokens, const paddle::Tensor &verify_scores,
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const paddle::Tensor &max_dec_len, const paddle::Tensor &end_tokens,
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const paddle::Tensor &is_block_step,
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const paddle::Tensor &output_cum_offsets,
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const paddle::Tensor &actual_candidate_len,
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const paddle::Tensor &actual_draft_token_nums, const paddle::Tensor &topp,
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int max_seq_len, int verify_window, bool enable_topp, bool benchmark_mode, bool accept_all_drafts) {
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void SpeculateVerify(const paddle::Tensor &sampled_token_ids,
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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 &step_idx,
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const paddle::Tensor &stop_flags,
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const paddle::Tensor &seq_lens_encoder,
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const paddle::Tensor &seq_lens_decoder,
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const paddle::Tensor &draft_tokens,
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const paddle::Tensor &seq_lens_this_time,
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const paddle::Tensor &verify_tokens,
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const paddle::Tensor &verify_scores,
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const paddle::Tensor &max_dec_len,
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const paddle::Tensor &end_tokens,
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const paddle::Tensor &is_block_step,
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const paddle::Tensor &output_cum_offsets,
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const paddle::Tensor &actual_candidate_len,
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const paddle::Tensor &actual_draft_token_nums,
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const paddle::Tensor &topp,
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int max_seq_len,
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int verify_window,
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bool enable_topp,
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bool benchmark_mode,
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bool accept_all_drafts) {
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// printf("Enter speculate update\n");
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auto bsz = accept_tokens.shape()[0];
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int real_bsz = seq_lens_this_time.shape()[0];
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@@ -289,6 +343,11 @@ void SpeculateVerify(
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if (env_var) {
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use_topk = static_cast<bool>(std::stoi(env_var));
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}
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bool use_target_sampling = false;
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char *env_var_1 = getenv("SPECULATE_VERIFY_USE_TARGET_SAMPLING");
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if (env_var_1) {
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use_target_sampling = static_cast<bool>(std::stoi(env_var_1));
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}
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bool prefill_one_step_stop = false;
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if (const char *env_p = std::getenv("PREFILL_NODE_ONE_STEP_STOP")) {
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if (env_p[0] == '1') {
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@@ -298,69 +357,133 @@ void SpeculateVerify(
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if (use_topk) {
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if (enable_topp) {
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speculate_verify<true, true><<<1, BlockSize, 0, accept_tokens.stream()>>>(
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sampled_token_ids.data<int64_t>(),
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const_cast<int64_t *>(accept_tokens.data<int64_t>()),
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const_cast<int *>(accept_num.data<int>()),
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const_cast<int64_t *>(step_idx.data<int64_t>()),
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const_cast<bool *>(stop_flags.data<bool>()),
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seq_lens_encoder.data<int>(), seq_lens_decoder.data<int>(),
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draft_tokens.data<int64_t>(), actual_draft_token_nums.data<int>(),
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dev_curand_states, topp.data<float>(), seq_lens_this_time.data<int>(),
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verify_tokens.data<int64_t>(), verify_scores.data<float>(),
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max_dec_len.data<int64_t>(), end_tokens.data<int64_t>(),
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is_block_step.data<bool>(), output_cum_offsets.data<int>(),
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actual_candidate_len.data<int>(), real_bsz, max_draft_tokens,
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end_length, max_seq_len, max_candidate_len, verify_window,
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prefill_one_step_stop, benchmark_mode, accept_all_drafts);
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seq_lens_encoder.data<int>(),
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seq_lens_decoder.data<int>(),
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draft_tokens.data<int64_t>(),
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actual_draft_token_nums.data<int>(),
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dev_curand_states,
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topp.data<float>(),
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seq_lens_this_time.data<int>(),
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verify_tokens.data<int64_t>(),
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verify_scores.data<float>(),
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max_dec_len.data<int64_t>(),
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end_tokens.data<int64_t>(),
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is_block_step.data<bool>(),
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output_cum_offsets.data<int>(),
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actual_candidate_len.data<int>(),
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real_bsz,
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max_draft_tokens,
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end_length,
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max_seq_len,
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max_candidate_len,
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verify_window,
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prefill_one_step_stop,
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benchmark_mode,
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accept_all_drafts,
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use_target_sampling);
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} else {
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speculate_verify<false, true>
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<<<1, BlockSize, 0, accept_tokens.stream()>>>(
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sampled_token_ids.data<int64_t>(),
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const_cast<int64_t *>(accept_tokens.data<int64_t>()),
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const_cast<int *>(accept_num.data<int>()),
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const_cast<int64_t *>(step_idx.data<int64_t>()),
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const_cast<bool *>(stop_flags.data<bool>()),
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seq_lens_encoder.data<int>(), seq_lens_decoder.data<int>(),
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draft_tokens.data<int64_t>(), actual_draft_token_nums.data<int>(),
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dev_curand_states, topp.data<float>(),
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seq_lens_this_time.data<int>(), verify_tokens.data<int64_t>(),
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verify_scores.data<float>(), max_dec_len.data<int64_t>(),
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end_tokens.data<int64_t>(), is_block_step.data<bool>(),
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output_cum_offsets.data<int>(), actual_candidate_len.data<int>(),
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real_bsz, max_draft_tokens, end_length, max_seq_len,
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max_candidate_len, verify_window, prefill_one_step_stop, benchmark_mode, accept_all_drafts);
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seq_lens_encoder.data<int>(),
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seq_lens_decoder.data<int>(),
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draft_tokens.data<int64_t>(),
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actual_draft_token_nums.data<int>(),
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dev_curand_states,
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topp.data<float>(),
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seq_lens_this_time.data<int>(),
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verify_tokens.data<int64_t>(),
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verify_scores.data<float>(),
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max_dec_len.data<int64_t>(),
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end_tokens.data<int64_t>(),
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is_block_step.data<bool>(),
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output_cum_offsets.data<int>(),
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actual_candidate_len.data<int>(),
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real_bsz,
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max_draft_tokens,
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end_length,
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max_seq_len,
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max_candidate_len,
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verify_window,
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prefill_one_step_stop,
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benchmark_mode,
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accept_all_drafts,
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use_target_sampling);
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}
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} else {
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if (enable_topp) {
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speculate_verify<true, false>
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<<<1, BlockSize, 0, accept_tokens.stream()>>>(
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sampled_token_ids.data<int64_t>(),
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const_cast<int64_t *>(accept_tokens.data<int64_t>()),
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const_cast<int *>(accept_num.data<int>()),
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const_cast<int64_t *>(step_idx.data<int64_t>()),
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const_cast<bool *>(stop_flags.data<bool>()),
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seq_lens_encoder.data<int>(), seq_lens_decoder.data<int>(),
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draft_tokens.data<int64_t>(), actual_draft_token_nums.data<int>(),
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dev_curand_states, topp.data<float>(),
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seq_lens_this_time.data<int>(), verify_tokens.data<int64_t>(),
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verify_scores.data<float>(), max_dec_len.data<int64_t>(),
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end_tokens.data<int64_t>(), is_block_step.data<bool>(),
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output_cum_offsets.data<int>(), actual_candidate_len.data<int>(),
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real_bsz, max_draft_tokens, end_length, max_seq_len,
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max_candidate_len, verify_window, prefill_one_step_stop, benchmark_mode, accept_all_drafts);
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seq_lens_encoder.data<int>(),
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seq_lens_decoder.data<int>(),
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draft_tokens.data<int64_t>(),
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actual_draft_token_nums.data<int>(),
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dev_curand_states,
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topp.data<float>(),
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seq_lens_this_time.data<int>(),
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verify_tokens.data<int64_t>(),
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verify_scores.data<float>(),
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max_dec_len.data<int64_t>(),
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end_tokens.data<int64_t>(),
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is_block_step.data<bool>(),
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output_cum_offsets.data<int>(),
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actual_candidate_len.data<int>(),
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real_bsz,
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max_draft_tokens,
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end_length,
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max_seq_len,
|
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max_candidate_len,
|
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verify_window,
|
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prefill_one_step_stop,
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benchmark_mode,
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accept_all_drafts,
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use_target_sampling);
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} else {
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speculate_verify<false, false>
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<<<1, BlockSize, 0, accept_tokens.stream()>>>(
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sampled_token_ids.data<int64_t>(),
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const_cast<int64_t *>(accept_tokens.data<int64_t>()),
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const_cast<int *>(accept_num.data<int>()),
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const_cast<int64_t *>(step_idx.data<int64_t>()),
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const_cast<bool *>(stop_flags.data<bool>()),
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seq_lens_encoder.data<int>(), seq_lens_decoder.data<int>(),
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draft_tokens.data<int64_t>(), actual_draft_token_nums.data<int>(),
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dev_curand_states, topp.data<float>(),
|
||||
seq_lens_this_time.data<int>(), verify_tokens.data<int64_t>(),
|
||||
verify_scores.data<float>(), max_dec_len.data<int64_t>(),
|
||||
end_tokens.data<int64_t>(), is_block_step.data<bool>(),
|
||||
output_cum_offsets.data<int>(), actual_candidate_len.data<int>(),
|
||||
real_bsz, max_draft_tokens, end_length, max_seq_len,
|
||||
max_candidate_len, verify_window, prefill_one_step_stop, benchmark_mode, accept_all_drafts);
|
||||
seq_lens_encoder.data<int>(),
|
||||
seq_lens_decoder.data<int>(),
|
||||
draft_tokens.data<int64_t>(),
|
||||
actual_draft_token_nums.data<int>(),
|
||||
dev_curand_states,
|
||||
topp.data<float>(),
|
||||
seq_lens_this_time.data<int>(),
|
||||
verify_tokens.data<int64_t>(),
|
||||
verify_scores.data<float>(),
|
||||
max_dec_len.data<int64_t>(),
|
||||
end_tokens.data<int64_t>(),
|
||||
is_block_step.data<bool>(),
|
||||
output_cum_offsets.data<int>(),
|
||||
actual_candidate_len.data<int>(),
|
||||
real_bsz,
|
||||
max_draft_tokens,
|
||||
end_length,
|
||||
max_seq_len,
|
||||
max_candidate_len,
|
||||
verify_window,
|
||||
prefill_one_step_stop,
|
||||
benchmark_mode,
|
||||
accept_all_drafts,
|
||||
use_target_sampling);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -368,14 +491,33 @@ void SpeculateVerify(
|
||||
}
|
||||
|
||||
PD_BUILD_STATIC_OP(speculate_verify)
|
||||
.Inputs({"accept_tokens", "accept_num", "step_idx", "seq_lens_encoder",
|
||||
"seq_lens_decoder", "stop_flags", "draft_tokens",
|
||||
"seq_lens_this_time", "verify_tokens", "verify_scores",
|
||||
"max_dec_len", "end_tokens", "is_block_step", "output_cum_offsets",
|
||||
"actual_candidate_len", "actual_draft_token_nums", "topp"})
|
||||
.Outputs({"accept_tokens_out", "accept_num_out", "step_idx_out",
|
||||
.Inputs({"sampled_token_ids",
|
||||
"accept_tokens",
|
||||
"accept_num",
|
||||
"step_idx",
|
||||
"seq_lens_encoder",
|
||||
"seq_lens_decoder",
|
||||
"stop_flags",
|
||||
"draft_tokens",
|
||||
"seq_lens_this_time",
|
||||
"verify_tokens",
|
||||
"verify_scores",
|
||||
"max_dec_len",
|
||||
"end_tokens",
|
||||
"is_block_step",
|
||||
"output_cum_offsets",
|
||||
"actual_candidate_len",
|
||||
"actual_draft_token_nums",
|
||||
"topp"})
|
||||
.Outputs({"accept_tokens_out",
|
||||
"accept_num_out",
|
||||
"step_idx_out",
|
||||
"stop_flags_out"})
|
||||
.Attrs({"max_seq_len: int", "verify_window: int", "enable_topp: bool", "benchmark_mode: bool","accept_all_drafts: bool"})
|
||||
.Attrs({"max_seq_len: int",
|
||||
"verify_window: int",
|
||||
"enable_topp: bool",
|
||||
"benchmark_mode: bool",
|
||||
"accept_all_drafts: bool"})
|
||||
.SetInplaceMap({{"accept_tokens", "accept_tokens_out"},
|
||||
{"accept_num", "accept_num_out"},
|
||||
{"step_idx", "step_idx_out"},
|
||||
|
||||
Reference in New Issue
Block a user