59 lines
2.1 KiB
C++
59 lines
2.1 KiB
C++
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/* 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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#include "fused_moe.h"
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#include <glog/logging.h>
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namespace xllm {
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namespace layer {
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FusedMoEImpl::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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NOT_IMPLEMENTED_WITH_MSG(
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"FusedMoE is not supported for this backend. Please use CUDA, MLU or "
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"ILU backend for MoE models.");
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}
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torch::Tensor FusedMoEImpl::forward_experts(
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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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NOT_IMPLEMENTED_WITH_MSG(
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"FusedMoE is not supported for this backend. Please use CUDA, MLU or "
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"ILU backend for MoE models.");
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return torch::Tensor();
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}
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torch::Tensor FusedMoEImpl::forward(const torch::Tensor& /*hidden_states*/,
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const ModelInputParams& /*input_params*/) {
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NOT_IMPLEMENTED_WITH_MSG(
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"FusedMoE is not supported for this backend. Please use CUDA, MLU or "
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"ILU backend for MoE models.");
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return torch::Tensor();
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}
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void FusedMoEImpl::load_state_dict(const StateDict& /*state_dict*/) {
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NOT_IMPLEMENTED_WITH_MSG(
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"FusedMoE is not supported for this backend. Please use CUDA, MLU or "
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"ILU backend for MoE models.");
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}
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} // namespace layer
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} // namespace xllm
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