mirror of
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106 lines
4.6 KiB
C++
106 lines
4.6 KiB
C++
// Copyright (c) 2025 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 <paddle/phi/backends/xpu/xpu_context.h>
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#include "paddle/extension.h"
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#include "paddle/phi/core/enforce.h"
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#include "xpu/plugin.h"
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void UpdateInputesV1(const paddle::Tensor &stop_flags,
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const paddle::Tensor ¬_need_stop, // only on cpu
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const paddle::Tensor &seq_lens_this_time,
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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 &step_seq_lens_decoder,
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const paddle::Tensor &prompt_lens,
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const paddle::Tensor &topk_ids,
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const paddle::Tensor &input_ids,
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const paddle::Tensor &block_tables,
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const paddle::Tensor &stop_nums,
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const paddle::Tensor &next_tokens,
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const paddle::Tensor &is_block_step,
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const int block_size) {
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phi::XPUPlace place(phi::backends::xpu::GetXPUCurrentDeviceId());
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auto dev_ctx =
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paddle::experimental::DeviceContextPool::Instance().Get(place);
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auto xpu_ctx = static_cast<const phi::XPUContext *>(dev_ctx);
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const int max_bsz = stop_flags.shape()[0];
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const int now_bsz = seq_lens_this_time.shape()[0];
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// std::cout << "now_bsz: " << now_bsz << std::endl;
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const int input_ids_stride = input_ids.shape()[1];
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const int block_num_per_seq = block_tables.shape()[1];
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auto not_need_stop_gpu = not_need_stop.copy_to(stop_flags.place(), false);
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int r = baidu::xpu::api::plugin::update_inputs_v1(
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xpu_ctx->x_context(),
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const_cast<bool *>(not_need_stop_gpu.data<bool>()),
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const_cast<int *>(seq_lens_this_time.data<int>()),
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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<int *>(step_seq_lens_decoder.data<int>()),
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const_cast<int64_t *>(prompt_lens.data<int64_t>()),
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const_cast<int64_t *>(topk_ids.data<int64_t>()),
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const_cast<int64_t *>(input_ids.data<int64_t>()),
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const_cast<int *>(block_tables.data<int>()),
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stop_nums.data<int64_t>(),
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const_cast<bool *>(stop_flags.data<bool>()),
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const_cast<bool *>(is_block_step.data<bool>()),
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next_tokens.data<int64_t>(),
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now_bsz,
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max_bsz,
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input_ids_stride,
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block_num_per_seq,
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block_size);
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PD_CHECK(r == 0, "baidu::xpu::api::plugin::update_inputs_kernel_v1 failed.");
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auto not_need_stop_cpu =
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not_need_stop_gpu.copy_to(not_need_stop.place(), false);
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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_OP(update_inputs_v1)
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.Inputs({"stop_flags",
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"not_need_stop",
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"seq_lens_this_time",
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"seq_lens_encoder",
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"seq_lens_decoder",
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"step_seq_lens_decoder",
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"prompt_lens",
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"topk_ids",
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"input_ids",
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"block_tables",
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"stop_nums",
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"next_tokens",
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"is_block_step"})
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.Attrs({"block_size: int"})
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.Outputs({"not_need_stop_out",
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"seq_lens_this_time_out",
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"seq_lens_encoder_out",
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"seq_lens_decoder_out",
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"step_seq_lens_decoder_out",
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"topk_ids_out",
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"input_ids_out",
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"stop_flags_out",
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"is_block_step_out"})
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.SetInplaceMap({{"not_need_stop", "not_need_stop_out"},
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{"seq_lens_this_time", "seq_lens_this_time_out"},
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{"seq_lens_encoder", "seq_lens_encoder_out"},
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{"seq_lens_decoder", "seq_lens_decoder_out"},
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{"topk_ids", "topk_ids_out"},
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{"input_ids", "input_ids_out"},
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{"stop_flags", "stop_flags_out"},
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{"step_seq_lens_decoder", "step_seq_lens_decoder_out"},
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{"is_block_step", "is_block_step_out"}})
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.SetKernelFn(PD_KERNEL(UpdateInputesV1));
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