[init] baseline7 from project_6

2026-08-25 07:05:49 +00:00
commit 0bb337bc00
1392 changed files with 321187 additions and 0 deletions
--- a/ex_engine/xllm_kernels/npu/npu_causal_conv1d.cpp
+++ b/ex_engine/xllm_kernels/npu/npu_causal_conv1d.cpp
@@ -0,0 +1,59 @@
+/* Copyright 2026 The xLLM Authors. All Rights Reserved.
+
+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.
+==============================================================================*/
+
+#include "core/kernels/npu/aclnn/pytorch_npu_helper.hpp"
+#include "core/kernels/npu/utils.h"
+#include "core/kernels/npu/xllm_ops/xllm_ops_api.h"
+
+namespace xllm::kernel::npu {
+
+torch::Tensor causal_conv1d(const torch::Tensor& x,
+                            const torch::Tensor& weight,
+                            const torch::Tensor& conv_state,
+                            const std::optional<torch::Tensor>& bias_opt,
+                            const torch::IntArrayRef query_start_loc_opt,
+                            const torch::IntArrayRef cache_indices_opt,
+                            const torch::IntArrayRef initial_state_mode_opt,
+                            const torch::IntArrayRef num_accepted_tokens_opt,
+                            int64_t activation_mode,
+                            int64_t pad_slot_id,
+                            int64_t run_mode) {
+  check_tensor(x, "x", "causal_conv1d");
+  check_tensor(weight, "weight", "causal_conv1d");
+  check_tensor(conv_state, "conv_state", "causal_conv1d");
+
+  c10::optional<torch::Tensor> bias_tensor = c10::nullopt;
+  if (bias_opt.has_value() && bias_opt.value().defined()) {
+    bias_tensor = bias_opt.value();
+  }
+
+  torch::Tensor output = torch::empty(x.sizes(), x.options());
+  EXEC_NPU_CMD(aclnnCausalConv1d,
+               x,
+               weight,
+               bias_tensor,
+               conv_state,
+               query_start_loc_opt,
+               cache_indices_opt,
+               initial_state_mode_opt,
+               num_accepted_tokens_opt,
+               activation_mode,
+               pad_slot_id,
+               run_mode,
+               output);
+  return output;
+}
+
+}  // namespace xllm::kernel::npu