TensorRT-LLMs/cpp/tensorrt_llm/thop/CMakeLists.txt
liji-nv dca6397d1e
feat: Introduce UB allocator for pytorch flow (#3257)
* Instead of allocating UserBuffers at beginning of runtime, UB buffers
  are now managed with global allocator. The allocator will dynamically
assign free UB buffer or allocate new buffer for torch tensor. It makes
userbuffers easier to use.

* In common usecase, the Userbuffers will be allocated correctly during
  warm up stage. There is no dynamic allocation during inference.

* UB fusion pattern is rewroten using the new UB Allocator. It contains
  following passes:

1. Fuse Quant with allreduce, replace with UB impl, and insert a
   copy_to_userbuffers. Currently the normal allreduce still does not
   support FP8 quant. So this need to be done in UB pass
2. Convert all supported allreduce with UB and insert copy_to_userbuffers.
3. Fuse op before ar with the copy_to_userbuffers. So the op directly
   writes to the userbuffer
4. Remove userbuffers finalize if the output is connect to another UB
   allreduce.

Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com>
2025-04-08 18:39:49 +08:00

89 lines
2.8 KiB
CMake

# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION &
# AFFILIATES. All rights reserved. SPDX-License-Identifier: Apache-2.0
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# 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.
if(NOT WIN32)
# additional warnings
#
# Ignore overloaded-virtual warning. We intentionally change parameters of
# some methods in derived class.
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall")
if(WARNING_IS_ERROR)
message(STATUS "Treating warnings as errors in GCC compilation")
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Werror")
endif()
else() # Windows
# warning level 4
set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /W4")
endif()
add_library(th_utils STATIC thUtils.cpp)
set_property(TARGET th_utils PROPERTY POSITION_INDEPENDENT_CODE ON)
set_property(TARGET th_utils PROPERTY CUDA_RESOLVE_DEVICE_SYMBOLS ON)
target_link_libraries(th_utils PUBLIC ${TORCH_LIBRARIES} ${CUBLAS_LIB}
${CURAND_LIB})
add_library(
th_common SHARED
allgatherOp.cpp
allreduceOp.cpp
attentionOp.cpp
convertSpecDecodingMaskToPackedMaskOp.cpp
cutlassScaledMM.cpp
cublasScaledMM.cpp
deepseekAllreduceFusionOp.cpp
dynamicDecodeOp.cpp
fmhaPackMaskOp.cpp
fp8Op.cpp
fp4Op.cpp
fp4Gemm.cpp
fp4Quantize.cpp
fp4BatchedQuantize.cpp
fp8BlockScalingGemm.cpp
fp8Quantize.cpp
gatherTreeOp.cpp
logitsBitmaskOp.cpp
mambaConv1dOp.cpp
moeOp.cpp
fp8BlockScaleMoe.cpp
noAuxTcOp.cpp
ncclCommunicatorOp.cpp
parallelDecodeKVCacheUpdateOp.cpp
redrafterCurandOp.cpp
reducescatterOp.cpp
relativeAttentionBiasOp.cpp
selectiveScanOp.cpp
userbuffersFinalizeOp.cpp
userbuffersTensor.cpp
weightOnlyQuantOp.cpp
mtpOp.cpp)
set_property(TARGET th_common PROPERTY POSITION_INDEPENDENT_CODE ON)
target_link_libraries(th_common PRIVATE ${TORCH_LIBRARIES} th_utils
${Python3_LIBRARIES} ${SHARED_TARGET})
if(ENABLE_MULTI_DEVICE)
target_include_directories(th_common PUBLIC ${MPI_C_INCLUDE_DIRS})
target_link_libraries(th_common PRIVATE ${MPI_C_LIBRARIES} ${NCCL_LIB}
CUDA::nvml)
endif()
if(NOT WIN32)
set_target_properties(
th_common
PROPERTIES LINK_FLAGS
"-Wl,-rpath='$ORIGIN' ${AS_NEEDED_FLAG} ${UNDEFINED_FLAG}")
else()
target_link_libraries(th_common PRIVATE context_attention_src)
endif()