test: 回退Docker context到26e6cb40完全一致——验证竞赛平台build

Dockerfile/qwen3_6_scripts/ex_engine/computility-run.yaml 全部
还原到26e6cb40的精确内容。删除所有26e6cb40不存在的新增文件
(prebuilt/*.so, wheels/*.whl, vendor_overrides/, 新增.cu/.sh等)。

目的：确认26e6cb40的文件内容在当前git状态下仍能通过竞赛平台build。
如果通过，说明问题在新增文件中；如果不通过，说明问题在git仓库层面。

ex_engine/csrc/qwen3_gated_delta_net_base.h

@@ -1,112 +0,0 @@
-/* Copyright 2025-2026 The xLLM Authors.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    https://github.com/jd-opensource/xllm/blob/main/LICENSE
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#pragma once
-
-#include <torch/torch.h>
-
-#include <optional>
-#include <string>
-#include <tuple>
-#include <utility>
-
-#include "attention.h"
-#include "framework/kv_cache/kv_cache.h"
-#include "framework/model/model_args.h"
-#include "framework/parallel_state/parallel_args.h"
-#include "framework/quant_args.h"
-#include "framework/state_dict/state_dict.h"
-#include "framework/state_dict/utils.h"
-#include "layers/common/linear.h"
-#include "layers/common/rms_norm_gated.h"
-
-namespace xllm {
-namespace layer {
-
-class Qwen3GatedDeltaNetBaseImpl : public torch::nn::Module {
- public:
-  Qwen3GatedDeltaNetBaseImpl() = default;
-  Qwen3GatedDeltaNetBaseImpl(const ModelArgs& args,
-                             const QuantArgs& quant_args,
-                             const ParallelArgs& parallel_args,
-                             const torch::TensorOptions& options);
-
-  virtual void load_state_dict(const StateDict& state_dict) = 0;
-  virtual void verify_loaded_weights(const std::string& prefix) const = 0;
-
-  torch::Tensor forward(const torch::Tensor& hidden_states,
-                        const AttentionMetadata& attn_metadata,
-                        KVCache& kv_cache,
-                        const ModelInputParams& input_params);
-
- protected:
-  virtual std::pair<torch::Tensor, torch::Tensor> project_decode_inputs(
-      const torch::Tensor& hidden_states) = 0;
-  virtual std::pair<torch::Tensor, torch::Tensor> project_flat_inputs(
-      const torch::Tensor& hidden_states) = 0;
-  // Qwen3.5 overrides this to project and reshape its separate qkv/z/b/a
-  // weights in every forward mode. Qwen3Next keeps qkvz/ba packed and returns
-  // nullopt to select the fused-split fallback.
-  virtual std::optional<
-      std::tuple<torch::Tensor, torch::Tensor, torch::Tensor, torch::Tensor>>
-  project_split_inputs(const torch::Tensor& hidden_states,
-                       const AttentionMetadata& attn_metadata) {
-    return std::nullopt;
-  }
-  virtual bool use_fla_ssm_state_layout() const { return false; }
-
-  void load_common_state_dict(const StateDict& state_dict);
-  void verify_common_loaded_weights(const std::string& prefix) const;
-
-  torch::Tensor get_linear_state_indices(const ModelInputParams& input_params,
-                                         const torch::Device& device) const;
-
-  std::pair<torch::Tensor, torch::Tensor> project_padded_inputs(
-      const torch::Tensor& hidden_states,
-      const AttentionMetadata& attn_metadata);
-
-  torch::Tensor reshape_qkvz_unpad(const AttentionMetadata& attn_metadata,
-                                   const torch::Tensor& padded_qkvz) const;
-
-  // Projection outputs are packed as [total_tokens, dim], while GDN kernels
-  // consume dense [batch, max_query_len, dim] tensors. Split the packed tokens
-  // by query length and pad each sequence before entering the kernels.
-  torch::Tensor reshape_projected_tokens_with_pad(
-      const AttentionMetadata& attn_metadata,
-      const torch::Tensor& projected_tokens) const;
-
-  std::tuple<torch::Tensor, torch::Tensor, torch::Tensor> process_mixed_qkv(
-      torch::Tensor& mixed_qkv) const;
-
-  int64_t num_k_heads_ = 0;
-  int64_t num_v_heads_ = 0;
-  int64_t head_k_dim_ = 0;
-  int64_t head_v_dim_ = 0;
-  int64_t k_size_ = 0;
-  int64_t v_size_ = 0;
-  int64_t tp_size_ = 1;
-  int64_t rank_ = 0;
-  int32_t conv_kernel_size_ = 0;
-
-  ColumnParallelLinear conv1d_{nullptr};
-  RowParallelLinear o_proj_{nullptr};
-  RmsNormGated norm_{nullptr};
-
-  DEFINE_WEIGHT(dt_bias);
-  DEFINE_WEIGHT(A_log);
-};
-
-}  // namespace layer
-}  // namespace xllm