f955dd127e
Upstream source: xllm/core/kernels/ilu/ixformer.h (Apache 2.0)
Wrapper patterns: xllm/core/kernels/ilu/{attention,norm,rope,activation,fused_moe,group_gemm}.cpp
Complete bridge (ix_full_bridge.cpp, 331 lines):
MoE: topk_softmax, gen_idx, expand, group_gemm, silu_mul, combine, fused_forward
Attention: paged_attention (decode), flash_attn_prefill (prefill)
Norm: rms_norm, fused_add_rms_norm
RoPE: rotary_embedding
Cache: reshape_and_cache
Linear: ixformer_linear
ix_bridge.py: tries ix_full_bridge first, falls back to ix_moe_bridge
patch_ops.sh: deploys both .cpp files to all JIT search paths
Copied ixformer.h + utils.h headers for reference
63 lines
3.0 KiB
C++
63 lines
3.0 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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namespace xllm::kernel::ilu {
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#undef check_tensor_contiguous
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#define check_tensor_contiguous(x, type) \
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TORCH_CHECK(x.scalar_type() == type); \
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TORCH_CHECK(x.is_cuda()); \
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TORCH_CHECK(x.is_contiguous());
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#undef check_tensor_half_bf_float
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#define check_tensor_half_bf_float(x) \
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TORCH_CHECK(x.scalar_type() == at::ScalarType::Half || \
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x.scalar_type() == at::ScalarType::Float || \
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x.scalar_type() == at::ScalarType::BFloat16); \
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TORCH_CHECK(x.is_cuda());
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// from torchCheckMsgImpl
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inline const char* ixformer_check_msg_impl(const char* msg) { return msg; }
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// // If there is just 1 user-provided C-string argument, use it.
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#define IXFORMER_CHECK_MSG(cond, type, ...) \
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(ixformer_check_msg_impl( \
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"Expected " #cond \
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" to be true, but got false. " \
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"(Could this error message be improved? If so, " \
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"please report an enhancement request to ixformer.)", \
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##__VA_ARGS__))
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#define IXFORMER_CHECK(cond, ...) \
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{ \
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if (!(cond)) { \
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std::cerr << __FILE__ << " (" << __LINE__ << ")" \
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<< "-" << __FUNCTION__ << " : " \
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<< IXFORMER_CHECK_MSG(cond, "", ##__VA_ARGS__) << std::endl; \
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throw std::runtime_error("IXFORMER_CHECK ERROR"); \
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} \
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}
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#undef CUINFER_CHECK
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#define CUINFER_CHECK(func) \
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do { \
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cuinferStatus_t status = (func); \
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if (status != CUINFER_STATUS_SUCCESS) { \
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std::cerr << "Error in file " << __FILE__ << " on line " << __LINE__ \
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<< ": " << cuinferGetErrorString(status) << std::endl; \
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throw std::runtime_error("CUINFER_CHECK ERROR"); \
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} \
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} while (0)
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} // namespace xllm::kernel::ilu
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