55 lines
2.0 KiB
C++
55 lines
2.0 KiB
C++
/* Copyright 2025 The xLLM Authors. All Rights Reserved.
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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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https://github.com/jd-opensource/xllm/blob/main/LICENSE
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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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==============================================================================*/
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#pragma once
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#include <torch/torch.h>
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#include "dense_mlp.h"
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#include "framework/model/model_args.h"
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#include "framework/model/model_input_params.h"
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#include "framework/parallel_state/parallel_args.h"
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#include "framework/quant_args.h"
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#include "framework/state_dict/state_dict.h"
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#include "framework/state_dict/utils.h"
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#include "fused_moe_base.h"
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#include "linear.h"
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namespace xllm {
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namespace layer {
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// FusedMoE common implementation - placeholder for unsupported backends
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// Actual implementations are in backend-specific fused_moe.h files.
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class FusedMoEImpl : public torch::nn::Module {
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public:
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FusedMoEImpl() = default;
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FusedMoEImpl(const ModelArgs& model_args,
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const FusedMoEArgs& moe_args,
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const QuantArgs& quant_args,
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const ParallelArgs& parallel_args,
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const torch::TensorOptions& options);
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torch::Tensor forward_experts(const torch::Tensor& hidden_states,
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const torch::Tensor& router_logits,
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bool enable_all2all_communication);
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torch::Tensor forward(const torch::Tensor& hidden_states,
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const ModelInputParams& input_params);
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void load_state_dict(const StateDict& state_dict);
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};
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TORCH_MODULE(FusedMoE);
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} // namespace layer
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} // namespace xllm
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