[examples] added skeleton for pytorch wrapper

This commit is contained in:
Philippe Tillet
2019-05-03 14:30:06 -04:00
parent 208d1525de
commit 0d694445e6
8 changed files with 181 additions and 15 deletions

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@@ -1,6 +1,7 @@
cmake_minimum_required(VERSION 2.8)
project(triton)
include(CTest)
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
# FLEX/YACC
find_package(BISON)
@@ -16,7 +17,6 @@ include_directories(${BISON_Parser_INCLUDE_DIRECTORIES})
# LLVM
find_package(LLVM REQUIRED CONFIG)
message(STATUS ${LLVM_INCLUDE_DIRS})
include_directories(${LLVM_INCLUDE_DIRS})
add_definitions(${LLVM_DEFINITIONS})
#llvm_map_components_to_libnames(llvm_libs all)

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@@ -0,0 +1,21 @@
include(FindPackageHandleStandardArgs)
unset(TENSORFLOW_FOUND)
execute_process(COMMAND python -c "from os.path import dirname; import tensorflow as tf; print(dirname(dirname(tf.sysconfig.get_include())))"
OUTPUT_VARIABLE TF_INC OUTPUT_STRIP_TRAILING_WHITESPACE ERROR_QUIET)
execute_process(COMMAND python -c "import tensorflow as tf; print(tf.sysconfig.get_lib())"
OUTPUT_VARIABLE TF_LIB OUTPUT_STRIP_TRAILING_WHITESPACE ERROR_QUIET)
execute_process(COMMAND python -c "import tensorflow as tf; print(tf.__cxx11_abi_flag__ if \"__cxx11_abi_flag__\" in tf.__dict__ else 0)"
OUTPUT_VARIABLE TF_ABI OUTPUT_STRIP_TRAILING_WHITESPACE ERROR_QUIET)
find_package_handle_standard_args(TensorFlow DEFAULT_MSG TF_INC TF_LIB)
# set external variables for usage in CMakeLists.txt
if(TensorFlow_FOUND)
set(TensorFlow_LIBRARIES ${TF_LIB})
set(TensorFlow_INCLUDE_DIRS ${TF_INC})
set(TensorFlow_ABI ${TF_ABI})
endif()
# hide locals from GUI
mark_as_advanced(TF_INC TF_LIB TF_ABI)

101
cmake/FindTorch.cmake Normal file
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@@ -0,0 +1,101 @@
# FindTorch
# -------
#
# Finds the Torch library
#
# This will define the following variables:
#
# TORCH_FOUND -- True if the system has the Torch library
# TORCH_INCLUDE_DIRS -- The include directories for torch
# TORCH_LIBRARIES -- Libraries to link against
# TORCH_CXX_FLAGS -- Additional (required) compiler flags
#
# and the following imported targets:
#
# torch
include(FindPackageHandleStandardArgs)
if (DEFINED ENV{TORCH_INSTALL_PREFIX})
set(TORCH_INSTALL_PREFIX $ENV{TORCH_INSTALL_PREFIX})
else()
# Assume we are in <install-prefix>/share/cmake/Torch/TorchConfig.cmake
get_filename_component(CMAKE_CURRENT_LIST_DIR "${CMAKE_CURRENT_LIST_FILE}" PATH)
get_filename_component(TORCH_INSTALL_PREFIX "${CMAKE_CURRENT_LIST_DIR}/../../../" ABSOLUTE)
endif()
# Include directories.
if (EXISTS "${TORCH_INSTALL_PREFIX}/include")
set(TORCH_INCLUDE_DIRS
${TORCH_INSTALL_PREFIX}/include
${TORCH_INSTALL_PREFIX}/include/torch/csrc/api/include)
else()
set(TORCH_INCLUDE_DIRS
${TORCH_INSTALL_PREFIX}/include
${TORCH_INSTALL_PREFIX}/include/torch/csrc/api/include)
endif()
# Library dependencies.
if (@BUILD_SHARED_LIBS@)
find_package(Caffe2 REQUIRED PATHS ${CMAKE_CURRENT_LIST_DIR}/../Caffe2)
endif()
if (NOT ANDROID)
find_library(TORCH_LIBRARY torch PATHS "${TORCH_INSTALL_PREFIX}/lib")
else()
find_library(TORCH_LIBRARY NO_CMAKE_FIND_ROOT_PATH torch PATHS "${TORCH_INSTALL_PREFIX}/lib")
endif()
add_library(torch UNKNOWN IMPORTED)
set(TORCH_LIBRARIES torch ${Caffe2_MAIN_LIBS})
if (NOT ANDROID)
find_library(C10_LIBRARY c10 PATHS "${TORCH_INSTALL_PREFIX}/lib")
else()
find_library(C10_LIBRARY c10 NO_CMAKE_FIND_ROOT_PATH PATHS "${TORCH_INSTALL_PREFIX}/lib")
endif()
list(APPEND TORCH_LIBRARIES ${C10_LIBRARY})
if (@USE_CUDA@)
if(MSVC)
set(NVTOOLEXT_HOME "C:/Program Files/NVIDIA Corporation/NvToolsExt")
if ($ENV{NVTOOLEXT_HOME})
set(NVTOOLEXT_HOME $ENV{NVTOOLEXT_HOME})
endif()
set(TORCH_CUDA_LIBRARIES
${NVTOOLEXT_HOME}/lib/x64/nvToolsExt64_1.lib
${CUDA_LIBRARIES})
list(APPEND TORCH_INCLUDE_DIRS ${NVTOOLEXT_HOME}/include)
elseif(APPLE)
set(TORCH_CUDA_LIBRARIES
${CUDA_TOOLKIT_ROOT_DIR}/lib/libcudart.dylib
${CUDA_TOOLKIT_ROOT_DIR}/lib/libnvrtc.dylib
${CUDA_TOOLKIT_ROOT_DIR}/lib/libnvToolsExt.dylib
${CUDA_LIBRARIES})
else()
find_library(LIBNVTOOLSEXT libnvToolsExt.so PATHS ${CUDA_TOOLKIT_ROOT_DIR}/lib64/)
set(TORCH_CUDA_LIBRARIES
${CUDA_CUDA_LIB}
${CUDA_NVRTC_LIB}
${LIBNVTOOLSEXT}
${CUDA_LIBRARIES})
endif()
find_library(C10_CUDA_LIBRARY c10_cuda PATHS "${TORCH_INSTALL_PREFIX}/lib")
list(APPEND TORCH_CUDA_LIBRARIES ${C10_CUDA_LIBRARY})
list(APPEND TORCH_LIBRARIES ${TORCH_CUDA_LIBRARIES})
endif()
# When we build libtorch with the old GCC ABI, dependent libraries must too.
if ("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU")
set(TORCH_CXX_FLAGS "-D_GLIBCXX_USE_CXX11_ABI=@GLIBCXX_USE_CXX11_ABI@")
endif()
set_target_properties(torch PROPERTIES
IMPORTED_LOCATION "${TORCH_LIBRARY}"
INTERFACE_INCLUDE_DIRECTORIES "${TORCH_INCLUDE_DIRS}"
CXX_STANDARD 11
)
if (TORCH_CXX_FLAGS)
set_property(TARGET torch PROPERTY INTERFACE_COMPILE_OPTIONS "${TORCH_CXX_FLAGS}")
endif()
find_package_handle_standard_args(torch DEFAULT_MSG TORCH_LIBRARY TORCH_INCLUDE_DIRS)

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@@ -1 +1,2 @@
add_subdirectory(tensorflow)
add_subdirectory(pytorch)

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@@ -0,0 +1,6 @@
find_package(Torch)
if(${Torch_FOUND})
add_library(torch_triton SHARED conv.cpp)
target_compile_features(torch_triton PRIVATE cxx_range_for)
target_link_libraries(torch_triton "${TORCH_LIBRARIES}")
endif()

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@@ -0,0 +1,30 @@
#include <torch/torch.h>
#include <vector>
#define CHECK_CUDA(x) AT_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor")
#define CHECK_CONTIGUOUS(x) AT_CHECK(x.is_contiguous(), #x " must be contiguous")
#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x)
at::Tensor conv_forward(
const at::Tensor data,
const at::Tensor weight) {
// Check
CHECK_INPUT(data);
CHECK_INPUT(weight);
// Unpack data shapes
const auto B = data.size(0);
const auto Ci = data.size(1);
const auto H = data.size(2);
const auto W = data.size(3);
// Unpack weight shapes
const auto Cf = weight.size(0);
const auto R = weight.size(1);
const auto S = weight.size(2);
const auto K = weight.size(3);
// Create output
AT_CHECK(Ci == Cf, "Number of channels in data and weights must match");
return at::empty({B, K, H, W}, at::kFloat);
}
static auto registry =
torch::jit::RegisterOperators("triton::conv::forward", &conv_forward);

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@@ -0,0 +1,11 @@
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torch.utils.cpp_extension import load
from torch.distributions import categorical
from itertools import product
conv_triton = load( 'conv_triton', ['conv.cpp', 'conv.cu'], extra_cflags=['-O3'])

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@@ -1,14 +1,10 @@
execute_process(COMMAND python -c "from os.path import dirname; import tensorflow as tf; print(dirname(dirname(tf.sysconfig.get_include())))"
OUTPUT_VARIABLE TF_INC OUTPUT_STRIP_TRAILING_WHITESPACE)
execute_process(COMMAND python -c "import tensorflow as tf; print(tf.sysconfig.get_lib())"
OUTPUT_VARIABLE TF_LIB OUTPUT_STRIP_TRAILING_WHITESPACE)
execute_process(COMMAND python -c "import tensorflow as tf; print(tf.__cxx11_abi_flag__ if \"__cxx11_abi_flag__\" in tf.__dict__ else 0)"
OUTPUT_VARIABLE TF_ABI OUTPUT_STRIP_TRAILING_WHITESPACE)
set(CUDA_HOME "/usr/local/cuda")
include_directories("${TF_INC}/tensorflow/include")
include_directories("${CUDA_HOME}/include")
link_directories(${TF_LIB})
add_definitions(-D_GLIBCXX_USE_CXX11_ABI=0)
add_library(tf_blocksparse SHARED blocksparse.cpp)
target_link_libraries(tf_blocksparse tensorflow_framework triton)
find_package(TensorFlow)
if(${TensorFlow_FOUND})
set(CUDA_HOME "/usr/local/cuda")
include_directories("${TF_INC}/tensorflow/include")
include_directories("${CUDA_HOME}/include")
link_directories(${TF_LIB})
add_definitions(-D_GLIBCXX_USE_CXX11_ABI=0)
add_library(tf_blocksparse SHARED blocksparse.cpp)
target_link_libraries(tf_blocksparse tensorflow_framework triton)
endif()