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134 lines
4.9 KiB
Plaintext
134 lines
4.9 KiB
Plaintext
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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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 <fcntl.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <sys/mman.h>
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#include <sys/stat.h>
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#include <sys/types.h>
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#include <unistd.h>
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#include "paddle/extension.h"
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#include "helper.h"
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#ifndef PD_BUILD_STATIC_OP
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#define PD_BUILD_STATIC_OP(name) PD_BUILD_OP(static_op_##name)
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#endif
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__global__ void set_value_by_stop_seqs(bool *stop_flags,
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int64_t *topk_ids,
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const int64_t *pre_ids,
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const int64_t *step_idx,
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const int64_t *stop_seqs,
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const int *stop_seqs_len,
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const int *seq_lens,
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const int64_t *end_ids,
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const int bs,
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const int stop_seqs_bs,
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const int stop_seqs_max_len,
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const int pre_ids_len) {
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const int bid = blockIdx.x;
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const int tid = threadIdx.x;
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if (tid >= stop_seqs_bs) return;
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const int stop_seq_len = stop_seqs_len[tid];
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if (stop_seq_len <= 0) return;
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const int64_t *stop_seq_now = stop_seqs + tid * stop_seqs_max_len;
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const int64_t *pre_ids_now = pre_ids + bid * pre_ids_len;
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const int64_t step_idx_now = step_idx[bid];
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if (bid < bs) {
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if (stop_flags[bid]) { // 长度超限,当前位置置为2
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topk_ids[bid] = end_ids[0];
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if (seq_lens[bid] == 0) { // 已终止,当前位置置为-1
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topk_ids[bid] = -1;
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}
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return;
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}
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bool is_end = true;
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int count = 1;
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if (topk_ids[bid] == end_ids[0]) {
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if (tid == 0) {
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stop_flags[bid] = true;
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}
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return;
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}
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for (int i = stop_seq_len - 1; i >= 0; --i) {
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if ((step_idx_now - count) < 0 ||
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pre_ids_now[step_idx_now - count++] != stop_seq_now[i]) {
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is_end = false;
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break;
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}
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}
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if (is_end) {
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topk_ids[bid] = end_ids[0];
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stop_flags[bid] = true;
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}
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}
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}
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void GetStopFlagsMultiSeqs(const paddle::Tensor &topk_ids,
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const paddle::Tensor &pre_ids,
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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,
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const paddle::Tensor &stop_seqs,
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const paddle::Tensor &stop_seqs_len,
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const paddle::Tensor &end_ids) {
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PD_CHECK(topk_ids.dtype() == paddle::DataType::INT64);
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PD_CHECK(stop_flags.dtype() == paddle::DataType::BOOL);
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#ifdef PADDLE_WITH_CUSTOM_DEVICE
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auto dev_ctx = static_cast<const phi::CustomContext*>(paddle::experimental::DeviceContextPool::Instance().Get(topk_ids.place()));
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auto cu_stream = dev_ctx->stream();
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#else
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auto cu_stream = topk_ids.stream();
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#endif
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std::vector<int64_t> shape = topk_ids.shape();
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std::vector<int64_t> stop_seqs_shape = stop_seqs.shape();
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int bs_now = shape[0];
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int stop_seqs_bs = stop_seqs_shape[0];
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int stop_seqs_max_len = stop_seqs_shape[1];
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int pre_ids_len = pre_ids.shape()[1];
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int block_size = (stop_seqs_bs + WARP_SIZE - 1) / WARP_SIZE * WARP_SIZE;
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set_value_by_stop_seqs<<<bs_now, block_size, 0, cu_stream>>>(
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const_cast<bool *>(stop_flags.data<bool>()),
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const_cast<int64_t *>(topk_ids.data<int64_t>()),
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pre_ids.data<int64_t>(),
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step_idx.data<int64_t>(),
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stop_seqs.data<int64_t>(),
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stop_seqs_len.data<int>(),
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seq_lens.data<int>(),
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end_ids.data<int64_t>(),
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bs_now,
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stop_seqs_bs,
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stop_seqs_max_len,
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pre_ids_len);
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}
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PD_BUILD_STATIC_OP(set_stop_value_multi_seqs)
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.Inputs({"topk_ids",
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"pre_ids",
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"step_idx",
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"stop_flags",
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"seq_lens",
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"stop_seqs",
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"stop_seqs_len",
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"end_ids"})
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.Outputs({"topk_ids_out", "stop_flags_out"})
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.SetInplaceMap({{"topk_ids", "topk_ids_out"},
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{"stop_flags", "stop_flags_out"}})
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.SetKernelFn(PD_KERNEL(GetStopFlagsMultiSeqs));
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