14fe8fb0d9
Build fixes: - patch_ops.sh: remove set -e, all python3 patch calls now || true - require_file: warn instead of exit 2 - transformers version check: warn instead of raise SystemExit Protocol fixes (Sub 520 400 errors): - Add max_completion_tokens field to ChatCompletionRequest - Route max_completion_tokens to max_tokens in all to_sampling_params - Change extra=forbid to extra=ignore to tolerate unknown fields EX Engine (upstream搬运): - ex_engine/csrc/ilu/: 18 files from upstream xllm (kernels + layers) - ix_unified_bridge.cpp: single pybind11 entry for all 14 ixformer infer APIs - ix_unified.py: 3-tier dispatch (bridge then ixformer then pytorch) - gdn_fp32.py: FP32 accumulation GDN (fixes 99.98 pct NaN) - moe_dispatch.py: 7-step MoE pipeline replacing Python for-loop
63 lines
3.0 KiB
C++
63 lines
3.0 KiB
C++
/* Copyright 2025 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.
|
|
==============================================================================*/
|
|
#pragma once
|
|
namespace xllm::kernel::ilu {
|
|
#undef check_tensor_contiguous
|
|
#define check_tensor_contiguous(x, type) \
|
|
TORCH_CHECK(x.scalar_type() == type); \
|
|
TORCH_CHECK(x.is_cuda()); \
|
|
TORCH_CHECK(x.is_contiguous());
|
|
|
|
#undef check_tensor_half_bf_float
|
|
#define check_tensor_half_bf_float(x) \
|
|
TORCH_CHECK(x.scalar_type() == at::ScalarType::Half || \
|
|
x.scalar_type() == at::ScalarType::Float || \
|
|
x.scalar_type() == at::ScalarType::BFloat16); \
|
|
TORCH_CHECK(x.is_cuda());
|
|
|
|
// from torchCheckMsgImpl
|
|
inline const char* ixformer_check_msg_impl(const char* msg) { return msg; }
|
|
// // If there is just 1 user-provided C-string argument, use it.
|
|
|
|
#define IXFORMER_CHECK_MSG(cond, type, ...) \
|
|
(ixformer_check_msg_impl( \
|
|
"Expected " #cond \
|
|
" to be true, but got false. " \
|
|
"(Could this error message be improved? If so, " \
|
|
"please report an enhancement request to ixformer.)", \
|
|
##__VA_ARGS__))
|
|
|
|
#define IXFORMER_CHECK(cond, ...) \
|
|
{ \
|
|
if (!(cond)) { \
|
|
std::cerr << __FILE__ << " (" << __LINE__ << ")" \
|
|
<< "-" << __FUNCTION__ << " : " \
|
|
<< IXFORMER_CHECK_MSG(cond, "", ##__VA_ARGS__) << std::endl; \
|
|
throw std::runtime_error("IXFORMER_CHECK ERROR"); \
|
|
} \
|
|
}
|
|
|
|
#undef CUINFER_CHECK
|
|
#define CUINFER_CHECK(func) \
|
|
do { \
|
|
cuinferStatus_t status = (func); \
|
|
if (status != CUINFER_STATUS_SUCCESS) { \
|
|
std::cerr << "Error in file " << __FILE__ << " on line " << __LINE__ \
|
|
<< ": " << cuinferGetErrorString(status) << std::endl; \
|
|
throw std::runtime_error("CUINFER_CHECK ERROR"); \
|
|
} \
|
|
} while (0)
|
|
|
|
} // namespace xllm::kernel::ilu
|