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Disable -DUSE_TVM_OP on GPU builds (#18204)
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Due to issues #17886 #17840
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@leezu
leezu authored May 1, 2020
1 parent 0b46d90 commit 03fdfe0
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Showing 3 changed files with 0 additions and 92 deletions.
46 changes: 0 additions & 46 deletions ci/docker/runtime_functions.sh
View file
Original file line number Diff line number Diff line change
Expand Up @@ -723,7 +723,6 @@ build_ubuntu_gpu_mkldnn() {
CC=gcc-7 CXX=g++-7 cmake \
-DCMAKE_BUILD_TYPE="RelWithDebInfo" \
-DUSE_MKL_IF_AVAILABLE=OFF \
-DUSE_TVM_OP=ON \
-DUSE_CUDA=ON \
-DMXNET_CUDA_ARCH="$CI_CMAKE_CUDA_ARCH" \
-DUSE_CPP_PACKAGE=ON \
Expand All @@ -737,7 +736,6 @@ build_ubuntu_gpu_mkldnn_nocudnn() {
CC=gcc-7 CXX=g++-7 cmake \
-DCMAKE_BUILD_TYPE="RelWithDebInfo" \
-DUSE_MKL_IF_AVAILABLE=OFF \
-DUSE_TVM_OP=ON \
-DUSE_CUDA=ON \
-DMXNET_CUDA_ARCH="$CI_CMAKE_CUDA_ARCH" \
-DUSE_CUDNN=OFF \
Expand All @@ -752,7 +750,6 @@ build_ubuntu_gpu_cuda101_cudnn7() {
CC=gcc-7 CXX=g++-7 cmake \
-DCMAKE_BUILD_TYPE="RelWithDebInfo" \
-DUSE_MKL_IF_AVAILABLE=OFF \
-DUSE_TVM_OP=ON \
-DUSE_CUDA=ON \
-DMXNET_CUDA_ARCH="$CI_CMAKE_CUDA_ARCH" \
-DUSE_CUDNN=ON \
Expand All @@ -775,7 +772,6 @@ build_ubuntu_gpu_cuda101_cudnn7_make() {
USE_CUDA=1 \
USE_CUDA_PATH=/usr/local/cuda \
USE_CUDNN=1 \
USE_TVM_OP=1 \
USE_CPP_PACKAGE=1 \
USE_DIST_KVSTORE=1 \
CUDA_ARCH="$CI_CUDA_COMPUTE_CAPABILITIES" \
Expand All @@ -795,7 +791,6 @@ build_ubuntu_gpu_cuda101_cudnn7_mkldnn_cpp_test() {
USE_CUDA=1 \
USE_CUDA_PATH=/usr/local/cuda \
USE_CUDNN=1 \
USE_TVM_OP=0 \
USE_CPP_PACKAGE=1 \
USE_DIST_KVSTORE=1 \
CUDA_ARCH="$CI_CUDA_COMPUTE_CAPABILITIES" \
Expand All @@ -805,23 +800,6 @@ build_ubuntu_gpu_cuda101_cudnn7_mkldnn_cpp_test() {
make cython PYTHON=python3
}

build_ubuntu_gpu_cuda101_cudnn7_no_tvm_op() {
set -ex
cd /work/build
CC=gcc-7 CXX=g++-7 cmake \
-DCMAKE_BUILD_TYPE="RelWithDebInfo" \
-DUSE_MKL_IF_AVAILABLE=OFF \
-DUSE_TVM_OP=OFF \
-DUSE_CUDA=ON \
-DMXNET_CUDA_ARCH="$CI_CMAKE_CUDA_ARCH" \
-DUSE_CUDNN=ON \
-DUSE_MKLDNN=OFF \
-DBUILD_CYTHON_MODULES=ON \
-DUSE_DIST_KVSTORE=ON \
-G Ninja /work/mxnet
ninja
}

build_ubuntu_amalgamation() {
set -ex
# Amalgamation can not be run with -j nproc
Expand Down Expand Up @@ -852,7 +830,6 @@ build_ubuntu_gpu_cmake() {
-DUSE_SIGNAL_HANDLER=ON \
-DUSE_CUDA=ON \
-DUSE_CUDNN=ON \
-DUSE_TVM_OP=ON \
-DUSE_MKL_IF_AVAILABLE=OFF \
-DUSE_MKLML_MKL=OFF \
-DUSE_MKLDNN=OFF \
Expand All @@ -873,7 +850,6 @@ build_ubuntu_gpu_cmake_no_rtc() {
-DUSE_SIGNAL_HANDLER=ON \
-DUSE_CUDA=ON \
-DUSE_CUDNN=ON \
-DUSE_TVM_OP=ON \
-DUSE_MKL_IF_AVAILABLE=OFF \
-DUSE_MKLML_MKL=OFF \
-DUSE_MKLDNN=ON \
Expand All @@ -888,27 +864,6 @@ build_ubuntu_gpu_cmake_no_rtc() {
ninja
}

build_ubuntu_gpu_cmake_no_tvm_op() {
set -ex
cd /work/build
CC=gcc-7 CXX=g++-7 cmake \
-DUSE_SIGNAL_HANDLER=ON \
-DUSE_CUDA=ON \
-DUSE_CUDNN=ON \
-DUSE_TVM_OP=OFF \
-DUSE_MKL_IF_AVAILABLE=OFF \
-DUSE_MKLML_MKL=OFF \
-DUSE_MKLDNN=OFF \
-DUSE_DIST_KVSTORE=ON \
-DCMAKE_BUILD_TYPE=Release \
-DMXNET_CUDA_ARCH="$CI_CMAKE_CUDA_ARCH" \
-DBUILD_CYTHON_MODULES=1 \
-G Ninja \
/work/mxnet

ninja
}

build_ubuntu_cpu_large_tensor() {
set -ex
cd /work/build
Expand All @@ -931,7 +886,6 @@ build_ubuntu_gpu_large_tensor() {
-DUSE_SIGNAL_HANDLER=ON \
-DUSE_CUDA=ON \
-DUSE_CUDNN=ON \
-DUSE_TVM_OP=ON \
-DUSE_MKL_IF_AVAILABLE=OFF \
-DUSE_MKLML_MKL=OFF \
-DUSE_MKLDNN=OFF \
Expand Down
43 changes: 0 additions & 43 deletions ci/jenkins/Jenkins_steps.groovy
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Original file line number Diff line number Diff line change
Expand Up @@ -289,20 +289,6 @@ def compile_unix_full_gpu_mkldnn_cpp_test() {
}]
}

def compile_unix_full_gpu_no_tvm_op() {
return ['GPU: CUDA10.1+cuDNN7 TVM_OP OFF': {
node(NODE_LINUX_CPU) {
ws('workspace/build-gpu-no-tvm-op') {
timeout(time: max_time, unit: 'MINUTES') {
utils.init_git()
utils.docker_run('ubuntu_build_cuda', 'build_ubuntu_gpu_cuda101_cudnn7_no_tvm_op', false)
utils.pack_lib('gpu_no_tvm_op', mx_lib_cpp_examples_no_tvm_op)
}
}
}
}]
}

def compile_unix_cmake_gpu() {
return ['GPU: CMake': {
node(NODE_LINUX_CPU) {
Expand All @@ -317,19 +303,6 @@ def compile_unix_cmake_gpu() {
}]
}

def compile_unix_cmake_gpu_no_tvm_op() {
return ['GPU: CMake TVM_OP OFF': {
node(NODE_LINUX_CPU) {
ws('workspace/build-cmake-gpu-no-tvm-op') {
timeout(time: max_time, unit: 'MINUTES') {
utils.init_git()
utils.docker_run('ubuntu_gpu_cu101', 'build_ubuntu_gpu_cmake_no_tvm_op', false)
}
}
}
}]
}

def compile_unix_cmake_gpu_no_rtc() {
return ['GPU: CMake CUDA RTC OFF': {
node(NODE_LINUX_CPU) {
Expand Down Expand Up @@ -841,22 +814,6 @@ def test_unix_python3_gpu() {
}]
}

def test_unix_python3_gpu_no_tvm_op() {
return ['Python3: GPU TVM_OP OFF': {
node(NODE_LINUX_GPU) {
ws('workspace/ut-python3-gpu-no-tvm-op') {
try {
utils.unpack_and_init('gpu_no_tvm_op', mx_lib_cpp_examples_no_tvm_op)
python3_gpu_ut_cython('ubuntu_gpu_cu101')
utils.publish_test_coverage()
} finally {
utils.collect_test_results_unix('tests_gpu.xml', 'tests_python3_gpu.xml')
}
}
}
}]
}

def test_unix_python3_quantize_gpu() {
return ['Python3: Quantize GPU': {
node(NODE_LINUX_GPU_P3) {
Expand Down
3 changes: 0 additions & 3 deletions ci/jenkins/Jenkinsfile_unix_gpu
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Original file line number Diff line number Diff line change
Expand Up @@ -41,8 +41,6 @@ core_logic: {
custom_steps.compile_unix_cmake_gpu(),
custom_steps.compile_unix_tensorrt_gpu(),
custom_steps.compile_unix_int64_gpu(),
custom_steps.compile_unix_full_gpu_no_tvm_op(),
custom_steps.compile_unix_cmake_gpu_no_tvm_op(),
custom_steps.compile_unix_cmake_gpu_no_rtc(),
custom_steps.compile_unix_full_gpu_mkldnn_cpp_test()
])
Expand All @@ -61,7 +59,6 @@ core_logic: {
custom_steps.test_unix_scala_gpu(),
// TODO(szha): fix and reenable the hanging issue. tracked in #18098
// custom_steps.test_unix_distributed_kvstore_gpu(),
custom_steps.test_unix_python3_gpu_no_tvm_op(),
custom_steps.test_unix_capi_cpp_package(),
])
}
Expand Down

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