mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2026-04-23 00:17:25 +08:00
mayang002
1f9f889e37
* [XPU] refactor: XPU plugin namespace migration - Migrate wrapper layer namespace from baidu::xpu::api::plugin to fastdeploy::plugin - Migrate kernel layer namespace from xpu3::plugin to fd_xpu3 - Add api:: prefix for types (Context, SUCCESS, XPUIndexType, ctx_guard) - Remove XPU2 support, keep only XPU3 - Update ops/ directory to use new namespace Total: 137 files changed * [XPU] fix: add return value check and correct error messages - Add PADDLE_ENFORCE_XDNN_SUCCESS check for speculate_get_logits and update_attn_mask_offsets - Fix empty error message in draft_model_postprocess - Correct function name in speculate_schedule_cache error message - Update error messages from 'xpu::plugin::' to 'fastdeploy::plugin::'
82 lines
3.4 KiB
C++
82 lines
3.4 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 UpdateInputs(const paddle::Tensor& stop_flags,
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const paddle::Tensor& not_need_stop, // 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& input_ids,
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const paddle::Tensor& next_tokens,
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const paddle::Tensor& is_block_step) {
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phi::XPUPlace place(phi::backends::xpu::GetXPUCurrentDeviceId());
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auto dev_ctx = 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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PADDLE_ENFORCE_LE(
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max_bsz,
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1024,
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phi::errors::InvalidArgument(
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"Only support max_bs <= 1024, but received max_bs is %d", max_bsz));
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const int now_bsz = seq_lens_this_time.shape()[0];
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const int input_ids_stride = input_ids.shape()[1];
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auto not_need_stop_xpu = not_need_stop.copy_to(stop_flags.place(), false);
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int r = fastdeploy::plugin::update_inputs(
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xpu_ctx->x_context(),
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const_cast<bool*>(not_need_stop_xpu.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<int64_t*>(input_ids.data<int64_t>()),
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stop_flags.data<bool>(),
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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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PD_CHECK(r == 0, "fastdeploy::plugin::update_inputs failed.");
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auto not_need_stop_cpu =
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not_need_stop_xpu.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)
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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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"input_ids",
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"next_tokens",
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"is_block_step"})
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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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"input_ids_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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{"input_ids", "input_ids_out"}})
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.SetKernelFn(PD_KERNEL(UpdateInputs));
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