65 lines
2.1 KiB
C++
65 lines
2.1 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 "core/framework/model_context.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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namespace xllm {
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namespace layer {
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class RMSNormImpl : public torch::nn::Module {
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public:
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RMSNormImpl(int64_t dim, double eps, const torch::TensorOptions& options);
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RMSNormImpl(const ModelContext& context);
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// Standard forward: returns (normalized_output, updated_residual)
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std::tuple<torch::Tensor, std::optional<torch::Tensor>> forward(
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torch::Tensor& input,
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std::optional<torch::Tensor> residual = std::nullopt,
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std::optional<torch::Tensor> inplace_output = std::nullopt);
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// Fused forward with FP8 quantization output (for static quantization)
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// Returns: (fp8_quantized_output, updated_residual)
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// This combines RMSNorm + FP8 quantization to reduce memory bandwidth
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std::tuple<torch::Tensor, std::optional<torch::Tensor>> forward_fp8(
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torch::Tensor& input,
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const torch::Tensor& fp8_scale,
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std::optional<torch::Tensor> residual = std::nullopt);
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void set_layernorm_mode();
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void load_state_dict(const StateDict& state_dict);
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torch::Tensor weight() const { return weight_; }
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torch::Tensor bias() const { return bias_; }
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double eps() const { return eps_; }
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private:
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DEFINE_WEIGHT(weight);
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DEFINE_WEIGHT(bias);
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int64_t norm_dim_;
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double eps_;
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std::string mode_;
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};
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TORCH_MODULE(RMSNorm);
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} // namespace layer
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} // namespace xllm
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