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Posted to commits@mxnet.apache.org by zh...@apache.org on 2021/02/25 01:58:08 UTC
[incubator-mxnet] branch v1.x updated: [BACKPORT]Enable CUDA 11.0
on nightly + CUDA 11.2 on pip (#19295)(#19764) (#19930)
This is an automated email from the ASF dual-hosted git repository.
zha0q1 pushed a commit to branch v1.x
in repository https://gitbox.apache.org/repos/asf/incubator-mxnet.git
The following commit(s) were added to refs/heads/v1.x by this push:
new 57dddd1 [BACKPORT]Enable CUDA 11.0 on nightly + CUDA 11.2 on pip (#19295)(#19764) (#19930)
57dddd1 is described below
commit 57dddd179f80d7f94d0590481ee35be09050b4ed
Author: Rohit Kumar Srivastava <sr...@osu.edu>
AuthorDate: Wed Feb 24 17:56:23 2021 -0800
[BACKPORT]Enable CUDA 11.0 on nightly + CUDA 11.2 on pip (#19295)(#19764) (#19930)
* Enable CUDA 11.0 on nightly development builds (#19295)
Remove CUDA 9.2 and CUDA 10.0
* [PIP] add build variant for cuda 11.2 (#19764)
* adding ci docker files for cu111 and cu112
* removing previous CUDA make versions and adding support for cuda11.2
Co-authored-by: waytrue17 <52...@users.noreply.github.com>
Co-authored-by: Sheng Zha <sz...@users.noreply.github.com>
Co-authored-by: Rohit Kumar Srivastava <sr...@buckeyemail.osu.edu>
---
cd/Jenkinsfile_cd_pipeline | 2 +-
cd/Jenkinsfile_release_job | 2 +-
cd/README.md | 5 +-
cd/python/pypi/pypi_package.sh | 2 +-
cd/utils/artifact_repository.md | 8 +-
cd/utils/mxnet_base_image.sh | 12 +-
cd/utils/test_artifact_repository.py | 4 +-
ci/docker/Dockerfile.build.ubuntu_gpu_cu112 | 44 ++++++
ci/docker/runtime_functions.sh | 2 +-
.../{linux_cu92.cmake => linux_cu112.cmake} | 4 +-
config/distribution/linux_cu75.cmake | 34 ----
config/distribution/linux_cu80.cmake | 34 ----
config/distribution/linux_cu90.cmake | 34 ----
config/distribution/linux_cu91.cmake | 34 ----
make/staticbuild/{linux_cu92.mk => linux_cu112.mk} | 3 +-
make/staticbuild/linux_cu75.mk | 167 --------------------
make/staticbuild/linux_cu80.mk | 170 --------------------
make/staticbuild/linux_cu90.mk | 172 ---------------------
make/staticbuild/linux_cu91.mk | 172 ---------------------
tools/pip/doc/CPU_ADDITIONAL.md | 4 +-
tools/pip/doc/CU100_ADDITIONAL.md | 3 +-
tools/pip/doc/CU101_ADDITIONAL.md | 5 +-
tools/pip/doc/CU102_ADDITIONAL.md | 5 +-
tools/pip/doc/CU110_ADDITIONAL.md | 5 +-
.../{NATIVE_ADDITIONAL.md => CU112_ADDITIONAL.md} | 7 +-
tools/pip/doc/CU92_ADDITIONAL.md | 45 ------
tools/pip/doc/NATIVE_ADDITIONAL.md | 5 +-
tools/pip/setup.py | 6 +-
tools/setup_gpu_build_tools.sh | 39 ++++-
tools/staticbuild/README.md | 4 +-
30 files changed, 126 insertions(+), 907 deletions(-)
diff --git a/cd/Jenkinsfile_cd_pipeline b/cd/Jenkinsfile_cd_pipeline
index 70e7cfb..e73d97a 100644
--- a/cd/Jenkinsfile_cd_pipeline
+++ b/cd/Jenkinsfile_cd_pipeline
@@ -36,7 +36,7 @@ pipeline {
parameters {
// Release parameters
- string(defaultValue: "cpu,native,cu100,cu101,cu102,cu110", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
+ string(defaultValue: "cpu,native,cu100,cu101,cu102,cu110,cu112", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
booleanParam(defaultValue: false, description: 'Whether this is a release build or not', name: "RELEASE_BUILD")
}
diff --git a/cd/Jenkinsfile_release_job b/cd/Jenkinsfile_release_job
index 5a637c4..6221096 100644
--- a/cd/Jenkinsfile_release_job
+++ b/cd/Jenkinsfile_release_job
@@ -43,7 +43,7 @@ pipeline {
// any disruption caused by different COMMIT_ID values chaning the job parameter configuration on
// Jenkins.
string(defaultValue: "mxnet_lib/static", description: "Pipeline to build", name: "RELEASE_JOB_TYPE")
- string(defaultValue: "cpu,native,cu100,cu101,cu102,cu110", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
+ string(defaultValue: "cpu,native,cu100,cu101,cu102,cu110,cu112", description: "Comma separated list of variants", name: "MXNET_VARIANTS")
booleanParam(defaultValue: false, description: 'Whether this is a release build or not', name: "RELEASE_BUILD")
}
diff --git a/cd/README.md b/cd/README.md
index 308ab61..0072c1c 100644
--- a/cd/README.md
+++ b/cd/README.md
@@ -25,7 +25,7 @@ MXNet aims to support a variety of frontends, e.g. Python, Java, Perl, R, etc. a
The CD process is driven by the [CD pipeline job](Jenkinsfile_cd_pipeline), which orchestrates the order in which the artifacts are delivered. For instance, first publish the libmxnet library before publishing the pip package. It does this by triggering the [release job](Jenkinsfile_release_job) with a specific set of parameters for each delivery channel. The release job executes the specific release pipeline for a delivery channel across all MXNet *variants*.
-A variant is a specific environment or features for which MXNet is compiled. For instance CPU, GPU with CUDA v10.0, CUDA v9.0 with MKL-DNN support, etc.
+A variant is a specific environment or features for which MXNet is compiled. For instance CPU, GPU with CUDA v10.0, CUDA v11.0 with MKL-DNN support, etc.
Currently, below variants are supported. All of these variants except native have MKL-DNN backend enabled.
@@ -35,6 +35,7 @@ Currently, below variants are supported. All of these variants except native hav
* *cu101*: CUDA 10.1
* *cu102*: CUDA 10.2
* *cu110*: CUDA 11.0
+* *cu112*: CUDA 11.2
*For more on variants, see [here](https://github.com/apache/incubator-mxnet/issues/8671)*
@@ -120,7 +121,7 @@ The "first mile" of the CD process is posting the mxnet binaries to the [artifac
##### Timeout
-We shouldn't set global timeouts for the pipelines. Rather, the `step` being executed should be rapped with a `timeout` function (as in the pipeline example above). The `max_time` is a global variable set at the [release job](Jenkinsfile_release_job) level.
+We shouldn't set global timeouts for the pipelines. Rather, the `step` being executed should be rapped with a `timeout` function (as in the pipeline example above). The `max_time` is a global variable set at the [release job](Jenkinsfile_release_job) level.
##### Node of execution
diff --git a/cd/python/pypi/pypi_package.sh b/cd/python/pypi/pypi_package.sh
index 998b0c1..d967c30 100755
--- a/cd/python/pypi/pypi_package.sh
+++ b/cd/python/pypi/pypi_package.sh
@@ -18,7 +18,7 @@
set -ex
-# variant = cpu, native, cu80, cu100, etc.
+# variant = cpu, native, cu100, cu101, cu102, cu110, cu112 etc.
export mxnet_variant=${1:?"Please specify the mxnet variant"}
# Due to this PR: https://github.com/apache/incubator-mxnet/pull/14899
diff --git a/cd/utils/artifact_repository.md b/cd/utils/artifact_repository.md
index 49399bb..9de806e 100644
--- a/cd/utils/artifact_repository.md
+++ b/cd/utils/artifact_repository.md
@@ -17,7 +17,7 @@
# Artifact Repository - Pushing and Pulling libmxnet
-The artifact repository is an S3 bucket accessible only to restricted Jenkins nodes. It is used to store compiled MXNet artifacts that can be used by downstream CD pipelines to package the compiled libraries for different delivery channels (e.g. DockerHub, PyPI, Maven, etc.). The S3 object keys for the files being posted will be prefixed with the following distinguishing characteristics of the binary: branch, commit id, operating system, variant and dependency linking strategy (static or [...]
+The artifact repository is an S3 bucket accessible only to restricted Jenkins nodes. It is used to store compiled MXNet artifacts that can be used by downstream CD pipelines to package the compiled libraries for different delivery channels (e.g. DockerHub, PyPI, Maven, etc.). The S3 object keys for the files being posted will be prefixed with the following distinguishing characteristics of the binary: branch, commit id, operating system, variant and dependency linking strategy (static or [...]
An MXNet artifact is defined as the following set of files:
@@ -53,13 +53,13 @@ If not set, derived through the value of sys.platform (https://docs.python.org/3
**Variant**
-Manually configured through the --variant argument. The current variants are: cpu, native, cu92, cu100, cu101, cu102 and cu110.
+Manually configured through the --variant argument. The current variants are: cpu, native, cu100, cu101, cu102, cu110 and cu112.
As long as the tool is being run from the MXNet code base, the runtime feature detection tool (https://github.com/larroy/mxnet/blob/dd432b7f241c9da2c96bcb877c2dc84e6a1f74d4/docs/api/python/libinfo/libinfo.md) can be used to detect whether the library has been compiled with MKL (library has MKL-DNN feature enabled) and/or CUDA support (compiled with CUDA feature enabled).
-If it has been compiled with CUDA support, the output of /usr/local/cuda/bin/nvcc --version can be mined for the exact CUDA version (eg. 8.0, 9.0, etc.).
+If it has been compiled with CUDA support, the output of /usr/local/cuda/bin/nvcc --version can be mined for the exact CUDA version (eg. 10.0, 11.0, etc.).
-By knowing which features are enabled on the binary, and if necessary, which CUDA version is installed on the machine, the value for the variant argument can be calculated. Eg. if CUDA features are enabled, and nvcc reports cuda version 10, then the variant would be cu100. If neither MKL-DNN nor CUDA features are enabled, the variant would be native.
+By knowing which features are enabled on the binary, and if necessary, which CUDA version is installed on the machine, the value for the variant argument can be calculated. Eg. if CUDA features are enabled, and nvcc reports cuda version 10.0, then the variant would be cu100. If neither MKL-DNN nor CUDA features are enabled, the variant would be native.
**Dependency Linking**
diff --git a/cd/utils/mxnet_base_image.sh b/cd/utils/mxnet_base_image.sh
index 0e1ecc8..e2ea39d 100755
--- a/cd/utils/mxnet_base_image.sh
+++ b/cd/utils/mxnet_base_image.sh
@@ -21,15 +21,6 @@
mxnet_variant=${1:?"Please specify the mxnet variant as the first parameter"}
case ${mxnet_variant} in
- cu80*)
- echo "nvidia/cuda:8.0-cudnn7-runtime-ubuntu16.04"
- ;;
- cu90*)
- echo "nvidia/cuda:9.0-cudnn7-runtime-ubuntu16.04"
- ;;
- cu92*)
- echo "nvidia/cuda:9.2-cudnn7-runtime-ubuntu16.04"
- ;;
cu100*)
echo "nvidia/cuda:10.0-cudnn7-runtime-ubuntu16.04"
;;
@@ -42,6 +33,9 @@ case ${mxnet_variant} in
cu110*)
echo "nvidia/cuda:11.0-cudnn8-runtime-ubuntu16.04"
;;
+ cu112*)
+ echo "nvidia/cuda:11.2-cudnn8-runtime-ubuntu16.04"
+ ;;
cpu)
echo "ubuntu:16.04"
;;
diff --git a/cd/utils/test_artifact_repository.py b/cd/utils/test_artifact_repository.py
index 2ab5d91..827457e 100644
--- a/cd/utils/test_artifact_repository.py
+++ b/cd/utils/test_artifact_repository.py
@@ -144,9 +144,9 @@ class TestArtifactRepositoryTool(unittest.TestCase):
cuda_version = get_cuda_version()
self.assertEqual(cuda_version, '100')
- mock.return_value = b'Cuda compilation tools, release 9.2, V9.2.148'
+ mock.return_value = b'Cuda compilation tools, release 11.0, V11.0.148'
cuda_version = get_cuda_version()
- self.assertEqual(cuda_version, '92')
+ self.assertEqual(cuda_version, '110')
@patch('artifact_repository.check_output')
def test_get_cuda_version_not_found(self, mock):
diff --git a/ci/docker/Dockerfile.build.ubuntu_gpu_cu112 b/ci/docker/Dockerfile.build.ubuntu_gpu_cu112
new file mode 100644
index 0000000..1470673
--- /dev/null
+++ b/ci/docker/Dockerfile.build.ubuntu_gpu_cu112
@@ -0,0 +1,44 @@
+# -*- mode: dockerfile -*-
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you 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.
+#
+# Dockerfile to run MXNet on Ubuntu 16.04 for GPU
+
+FROM nvidia/cuda:11.2-cudnn8-devel-ubuntu16.04
+
+WORKDIR /work/deps
+
+COPY install/ubuntu_core.sh /work/
+RUN /work/ubuntu_core.sh
+
+COPY install/deb_ubuntu_ccache.sh /work/
+RUN /work/deb_ubuntu_ccache.sh
+
+COPY install/ubuntu_python.sh /work/
+COPY install/requirements /work/
+RUN /work/ubuntu_python.sh
+
+# Always last
+ARG USER_ID=0
+ARG GROUP_ID=0
+COPY install/ubuntu_adduser.sh /work/
+RUN /work/ubuntu_adduser.sh
+
+COPY runtime_functions.sh /work/
+
+WORKDIR /work/mxnet
+ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/cuda/compat
diff --git a/ci/docker/runtime_functions.sh b/ci/docker/runtime_functions.sh
index 2f7ad65..6043108 100755
--- a/ci/docker/runtime_functions.sh
+++ b/ci/docker/runtime_functions.sh
@@ -224,7 +224,7 @@ build_ubuntu_gpu_mkldnn_release() {
# Compiles the dynamic mxnet library
# Parameters:
-# $1 -> mxnet_variant: the mxnet variant to build, e.g. cpu, cu100, cu92mkl, etc.
+# $1 -> mxnet_variant: the mxnet variant to build, e.g. cpu, native, cu100, cu101, cu102, cu110, cu112, etc.
build_dynamic_libmxnet() {
set -ex
diff --git a/config/distribution/linux_cu92.cmake b/config/distribution/linux_cu112.cmake
similarity index 91%
rename from config/distribution/linux_cu92.cmake
rename to config/distribution/linux_cu112.cmake
index 63ab9fc..6c9a876 100644
--- a/config/distribution/linux_cu92.cmake
+++ b/config/distribution/linux_cu112.cmake
@@ -30,5 +30,5 @@ set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
-set(CUDACXX "/usr/local/cuda-9.2/bin/nvcc" CACHE STRING "Cuda compiler")
-set(MXNET_CUDA_ARCH "3.0;5.0;6.0;7.0;7.2" CACHE STRING "Cuda architectures")
+set(CUDACXX "/usr/local/cuda-11.2/bin/nvcc" CACHE STRING "Cuda compiler")
+set(MXNET_CUDA_ARCH "5.0;6.0;7.0;8.0;8.6" CACHE STRING "Cuda architectures")
diff --git a/config/distribution/linux_cu75.cmake b/config/distribution/linux_cu75.cmake
deleted file mode 100644
index 45ba2b9..0000000
--- a/config/distribution/linux_cu75.cmake
+++ /dev/null
@@ -1,34 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you 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.
-
-set(CMAKE_BUILD_TYPE "Distribution" CACHE STRING "Build type")
-set(CFLAGS "-mno-avx" CACHE STRING "CFLAGS")
-set(CXXFLAGS "-mno-avx" CACHE STRING "CXXFLAGS")
-
-set(USE_CUDA ON CACHE BOOL "Build with CUDA support")
-set(USE_CUDNN ON CACHE BOOL "Build with CUDA support")
-set(USE_OPENCV ON CACHE BOOL "Build with OpenCV support")
-set(USE_OPENMP ON CACHE BOOL "Build with Openmp support")
-set(USE_MKL_IF_AVAILABLE OFF CACHE BOOL "Use Intel MKL if found")
-set(USE_MKLDNN ON CACHE BOOL "Build with MKL-DNN support")
-set(USE_LAPACK ON CACHE BOOL "Build with lapack support")
-set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
-set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
-set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
-
-set(CUDACXX "/usr/local/cuda-7.5/bin/nvcc" CACHE STRING "Cuda compiler")
-set(MXNET_CUDA_ARCH "3.0;3.5;5.0;5.2" CACHE STRING "Cuda architectures")
diff --git a/config/distribution/linux_cu80.cmake b/config/distribution/linux_cu80.cmake
deleted file mode 100644
index ce8e008..0000000
--- a/config/distribution/linux_cu80.cmake
+++ /dev/null
@@ -1,34 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you 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.
-
-set(CMAKE_BUILD_TYPE "Distribution" CACHE STRING "Build type")
-set(CFLAGS "-mno-avx" CACHE STRING "CFLAGS")
-set(CXXFLAGS "-mno-avx" CACHE STRING "CXXFLAGS")
-
-set(USE_CUDA ON CACHE BOOL "Build with CUDA support")
-set(USE_CUDNN ON CACHE BOOL "Build with CUDA support")
-set(USE_OPENCV ON CACHE BOOL "Build with OpenCV support")
-set(USE_OPENMP ON CACHE BOOL "Build with Openmp support")
-set(USE_MKL_IF_AVAILABLE OFF CACHE BOOL "Use Intel MKL if found")
-set(USE_MKLDNN ON CACHE BOOL "Build with MKL-DNN support")
-set(USE_LAPACK ON CACHE BOOL "Build with lapack support")
-set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
-set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
-set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
-
-set(CUDACXX "/usr/local/cuda-8.0/bin/nvcc" CACHE STRING "Cuda compiler")
-set(MXNET_CUDA_ARCH "3.0;5.0;6.0;6.2" CACHE STRING "Cuda architectures")
diff --git a/config/distribution/linux_cu90.cmake b/config/distribution/linux_cu90.cmake
deleted file mode 100644
index 01097cb..0000000
--- a/config/distribution/linux_cu90.cmake
+++ /dev/null
@@ -1,34 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you 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.
-
-set(CMAKE_BUILD_TYPE "Distribution" CACHE STRING "Build type")
-set(CFLAGS "-mno-avx" CACHE STRING "CFLAGS")
-set(CXXFLAGS "-mno-avx" CACHE STRING "CXXFLAGS")
-
-set(USE_CUDA ON CACHE BOOL "Build with CUDA support")
-set(USE_CUDNN ON CACHE BOOL "Build with CUDA support")
-set(USE_OPENCV ON CACHE BOOL "Build with OpenCV support")
-set(USE_OPENMP ON CACHE BOOL "Build with Openmp support")
-set(USE_MKL_IF_AVAILABLE OFF CACHE BOOL "Use Intel MKL if found")
-set(USE_MKLDNN ON CACHE BOOL "Build with MKL-DNN support")
-set(USE_LAPACK ON CACHE BOOL "Build with lapack support")
-set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
-set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
-set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
-
-set(CUDACXX "/usr/local/cuda-9.0/bin/nvcc" CACHE STRING "Cuda compiler")
-set(MXNET_CUDA_ARCH "3.0;5.0;6.0;7.0;7.2" CACHE STRING "Cuda architectures")
diff --git a/config/distribution/linux_cu91.cmake b/config/distribution/linux_cu91.cmake
deleted file mode 100644
index f6301fa..0000000
--- a/config/distribution/linux_cu91.cmake
+++ /dev/null
@@ -1,34 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you 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.
-
-set(CMAKE_BUILD_TYPE "Distribution" CACHE STRING "Build type")
-set(CFLAGS "-mno-avx" CACHE STRING "CFLAGS")
-set(CXXFLAGS "-mno-avx" CACHE STRING "CXXFLAGS")
-
-set(USE_CUDA ON CACHE BOOL "Build with CUDA support")
-set(USE_CUDNN ON CACHE BOOL "Build with CUDA support")
-set(USE_OPENCV ON CACHE BOOL "Build with OpenCV support")
-set(USE_OPENMP ON CACHE BOOL "Build with Openmp support")
-set(USE_MKL_IF_AVAILABLE OFF CACHE BOOL "Use Intel MKL if found")
-set(USE_MKLDNN ON CACHE BOOL "Build with MKL-DNN support")
-set(USE_LAPACK ON CACHE BOOL "Build with lapack support")
-set(USE_TVM_OP OFF CACHE BOOL "Enable use of TVM operator build system.")
-set(USE_SSE ON CACHE BOOL "Build with x86 SSE instruction support")
-set(USE_F16C OFF CACHE BOOL "Build with x86 F16C instruction support")
-
-set(CUDACXX "/usr/local/cuda-9.1/bin/nvcc" CACHE STRING "Cuda compiler")
-set(MXNET_CUDA_ARCH "3.0;5.0;6.0;7.0;7.2" CACHE STRING "Cuda architectures")
diff --git a/make/staticbuild/linux_cu92.mk b/make/staticbuild/linux_cu112.mk
similarity index 99%
rename from make/staticbuild/linux_cu92.mk
rename to make/staticbuild/linux_cu112.mk
index bbaa4bf..874e157 100644
--- a/make/staticbuild/linux_cu92.mk
+++ b/make/staticbuild/linux_cu112.mk
@@ -66,7 +66,7 @@ USE_CUDA = 1
# add the path to CUDA library to link and compile flag
# if you have already add them to environment variable, leave it as NONE
# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-9.2
+USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-11.2
# whether to use CuDNN library
USE_CUDNN = 1
@@ -170,3 +170,4 @@ EXTRA_OPERATORS =
# git@github.com:dato-code/SFrame.git
# SFRAME_PATH = $(HOME)/SFrame
# MXNET_PLUGINS += plugin/sframe/plugin.mk
+
diff --git a/make/staticbuild/linux_cu75.mk b/make/staticbuild/linux_cu75.mk
deleted file mode 100644
index e263794..0000000
--- a/make/staticbuild/linux_cu75.mk
+++ /dev/null
@@ -1,167 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License. You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied. See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-# Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 1
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-7.5
-
-# whether use CuDNN R3 library
-USE_CUDNN = 1
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 1
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
- USE_SSE=0
-else
- USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/staticbuild/linux_cu80.mk b/make/staticbuild/linux_cu80.mk
deleted file mode 100644
index a42220d..0000000
--- a/make/staticbuild/linux_cu80.mk
+++ /dev/null
@@ -1,170 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you 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.
-#
-#-------------------------------------------------------------------------------
-# Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 1
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-8.0
-
-# whether to use CuDNN library
-USE_CUDNN = 1
-
-# whether to use NCCL library
-USE_NCCL = 1
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 1
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
- USE_SSE=0
-else
- USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/staticbuild/linux_cu90.mk b/make/staticbuild/linux_cu90.mk
deleted file mode 100644
index c46c10f..0000000
--- a/make/staticbuild/linux_cu90.mk
+++ /dev/null
@@ -1,172 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License. You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing,
-# software distributed under the License is distributed on an
-# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-# KIND, either express or implied. See the License for the
-# specific language governing permissions and limitations
-# under the License.
-#
-#-------------------------------------------------------------------------------
-# Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 1
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-9.0
-
-# whether to use CuDNN library
-USE_CUDNN = 1
-
-# whether to use NCCL library
-USE_NCCL = 1
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 1
-
-USE_NVTX=1
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
- USE_SSE=0
-else
- USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/make/staticbuild/linux_cu91.mk b/make/staticbuild/linux_cu91.mk
deleted file mode 100644
index b2a33d7..0000000
--- a/make/staticbuild/linux_cu91.mk
+++ /dev/null
@@ -1,172 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements. See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership. The ASF licenses this file
-# to you 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.
-#
-#-------------------------------------------------------------------------------
-# Template configuration for compiling mxnet for making python wheel
-#-------------------------------------------------------------------------------
-
-#---------------------
-# choice of compiler
-#--------------------
-
-export CC = gcc
-export CXX = g++
-export NVCC = nvcc
-
-# whether compile with options for MXNet developer
-DEV = 0
-
-# whether compile with debug
-DEBUG = 0
-
-# whether to turn on signal handler (e.g. segfault logger)
-USE_SIGNAL_HANDLER = 1
-
-# the additional link flags you want to add
-ADD_LDFLAGS += -L$(DEPS_PATH)/lib $(DEPS_PATH)/lib/libculibos.a -lpng -ltiff -ljpeg -lz -ldl -lgfortran -Wl,--version-script=$(CURDIR)/make/config/libmxnet.ver,-rpath,'$${ORIGIN}',--gc-sections
-
-# the additional compile flags you want to add
-ADD_CFLAGS += -I$(DEPS_PATH)/include -ffunction-sections -fdata-sections
-
-#---------------------------------------------
-# matrix computation libraries for CPU/GPU
-#---------------------------------------------
-
-# choose the version of blas you want to use
-# can be: mkl, blas, atlas, openblas
-# in default use atlas for linux while apple for osx
-USE_BLAS=openblas
-
-# whether use opencv during compilation
-# you can disable it, however, you will not able to use
-# imbin iterator
-USE_OPENCV = 1
-# Add OpenCV include path, in which the directory `opencv2` exists
-USE_OPENCV_INC_PATH = NONE
-# Add OpenCV shared library path, in which the shared library exists
-USE_OPENCV_LIB_PATH = NONE
-
-# whether use CUDA during compile
-USE_CUDA = 1
-
-# add the path to CUDA library to link and compile flag
-# if you have already add them to environment variable, leave it as NONE
-# USE_CUDA_PATH = /usr/local/cuda
-USE_CUDA_PATH = $(DEPS_PATH)/usr/local/cuda-9.1
-
-# whether to use CuDNN library
-USE_CUDNN = 1
-
-# whether to use NCCL library
-USE_NCCL = 1
-
-# CUDA architecture setting: going with all of them.
-# For CUDA < 6.0, comment the *_50 lines for compatibility.
-# CUDA_ARCH :=
-
-# whether use cuda runtime compiling for writing kernels in native language (i.e. Python)
-ENABLE_CUDA_RTC = 1
-
-USE_NVTX=1
-
-# use openmp for parallelization
-USE_OPENMP = 1
-USE_OPERATOR_TUNING = 1
-USE_LIBJPEG_TURBO = 1
-
-# whether use MKL-DNN library
-USE_MKLDNN = 1
-
-# whether use NNPACK library
-USE_NNPACK = 0
-
-# whether use lapack during compilation
-# only effective when compiled with blas versions openblas/apple/atlas/mkl
-USE_LAPACK = 1
-
-# path to lapack library in case of a non-standard installation
-USE_LAPACK_PATH = $(DEPS_PATH)/lib
-
-# add path to intel library, you may need it for MKL, if you did not add the path
-# to environment variable
-USE_INTEL_PATH = NONE
-
-# If use MKL, choose static link automatically to allow python wrapper
-ifeq ($(USE_BLAS), mkl)
-USE_STATIC_MKL = 1
-else
-USE_STATIC_MKL = NONE
-endif
-
-#----------------------------
-# Settings for power and arm arch
-#----------------------------
-ARCH := $(shell uname -a)
-ifneq (,$(filter $(ARCH), armv6l armv7l powerpc64le ppc64le aarch64))
- USE_SSE=0
-else
- USE_SSE=1
-endif
-
-#----------------------------
-# distributed computing
-#----------------------------
-
-# whether or not to enable multi-machine supporting
-USE_DIST_KVSTORE = 1
-
-# whether or not allow to read and write HDFS directly. If yes, then hadoop is
-# required
-USE_HDFS = 0
-
-# path to libjvm.so. required if USE_HDFS=1
-LIBJVM=$(JAVA_HOME)/jre/lib/amd64/server
-
-# whether or not allow to read and write AWS S3 directly. If yes, then
-# libcurl4-openssl-dev is required, it can be installed on Ubuntu by
-# sudo apt-get install -y libcurl4-openssl-dev
-USE_S3 = 1
-
-#----------------------------
-# additional operators
-#----------------------------
-
-# path to folders containing projects specific operators that you don't want to put in src/operators
-EXTRA_OPERATORS =
-
-
-#----------------------------
-# plugins
-#----------------------------
-
-# whether to use caffe integration. This requires installing caffe.
-# You also need to add CAFFE_PATH/build/lib to your LD_LIBRARY_PATH
-# CAFFE_PATH = $(HOME)/caffe
-# MXNET_PLUGINS += plugin/caffe/caffe.mk
-
-# whether to use torch integration. This requires installing torch.
-# You also need to add TORCH_PATH/install/lib to your LD_LIBRARY_PATH
-# TORCH_PATH = $(HOME)/torch
-# MXNET_PLUGINS += plugin/torch/torch.mk
-
-# WARPCTC_PATH = $(HOME)/warp-ctc
-# MXNET_PLUGINS += plugin/warpctc/warpctc.mk
-
-# whether to use sframe integration. This requires build sframe
-# git@github.com:dato-code/SFrame.git
-# SFRAME_PATH = $(HOME)/SFrame
-# MXNET_PLUGINS += plugin/sframe/plugin.mk
diff --git a/tools/pip/doc/CPU_ADDITIONAL.md b/tools/pip/doc/CPU_ADDITIONAL.md
index 090186e..224ca98 100644
--- a/tools/pip/doc/CPU_ADDITIONAL.md
+++ b/tools/pip/doc/CPU_ADDITIONAL.md
@@ -18,11 +18,11 @@
Prerequisites
-------------
This package supports Linux, Mac OSX, and Windows platforms. You may also want to check:
+- [mxnet-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.
-- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
- [mxnet-native](https://pypi.python.org/pypi/mxnet-native/) CPU variant without MKLDNN.
To use this package on Linux you need the `libquadmath.so.0` shared library. On
@@ -33,7 +33,7 @@ a GPL library and MXNet part of the Apache Software Foundation, MXNet must not
redistribute `libquadmath.so.0` as part of the Pypi package and users must
manually install it.
-To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master/install/index.html) for instructions on building from source.
+To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master) for instructions on building from source.
Installation
------------
diff --git a/tools/pip/doc/CU100_ADDITIONAL.md b/tools/pip/doc/CU100_ADDITIONAL.md
index c7638e8..b0399e5 100644
--- a/tools/pip/doc/CU100_ADDITIONAL.md
+++ b/tools/pip/doc/CU100_ADDITIONAL.md
@@ -18,11 +18,12 @@
Prerequisites
-------------
This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
-- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
- [mxnet](https://pypi.python.org/pypi/mxnet/).
+- [mxnet-native](https://pypi.python.org/pypi/mxnet-native/) CPU variant without MKLDNN.
To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html).
diff --git a/tools/pip/doc/CU101_ADDITIONAL.md b/tools/pip/doc/CU101_ADDITIONAL.md
index 44ebb89..7014f32 100644
--- a/tools/pip/doc/CU101_ADDITIONAL.md
+++ b/tools/pip/doc/CU101_ADDITIONAL.md
@@ -18,11 +18,12 @@
Prerequisites
-------------
This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.0 support.
-- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
- [mxnet](https://pypi.python.org/pypi/mxnet/).
+- [mxnet-native](https://pypi.python.org/pypi/mxnet-native/) CPU variant without MKLDNN.
To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html).
@@ -34,7 +35,7 @@ a GPL library and MXNet part of the Apache Software Foundation, MXNet must not
redistribute `libquadmath.so.0` as part of the Pypi package and users must
manually install it.
-To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.incubator.apache.org/versions/master/install/index.html) for instructions on building from source.
+To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master) for instructions on building from source.
Installation
------------
diff --git a/tools/pip/doc/CU102_ADDITIONAL.md b/tools/pip/doc/CU102_ADDITIONAL.md
index 4a81de8..ce3f528 100644
--- a/tools/pip/doc/CU102_ADDITIONAL.md
+++ b/tools/pip/doc/CU102_ADDITIONAL.md
@@ -18,11 +18,12 @@
Prerequisites
-------------
This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.
-- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
- [mxnet](https://pypi.python.org/pypi/mxnet/).
+- [mxnet-native](https://pypi.python.org/pypi/mxnet-native/) CPU variant without MKLDNN.
To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html).
@@ -34,7 +35,7 @@ a GPL library and MXNet part of the Apache Software Foundation, MXNet must not
redistribute `libquadmath.so.0` as part of the Pypi package and users must
manually install it.
-To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.incubator.apache.org/versions/master/install/index.html) for instructions on building from source.
+To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master) for instructions on building from source.
Installation
------------
diff --git a/tools/pip/doc/CU110_ADDITIONAL.md b/tools/pip/doc/CU110_ADDITIONAL.md
index 8eaa7b2..2745a68 100644
--- a/tools/pip/doc/CU110_ADDITIONAL.md
+++ b/tools/pip/doc/CU110_ADDITIONAL.md
@@ -18,11 +18,12 @@
Prerequisites
-------------
This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.
-- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
- [mxnet](https://pypi.python.org/pypi/mxnet/).
+- [mxnet-native](https://pypi.python.org/pypi/mxnet-native/) CPU variant without MKLDNN.
To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html).
@@ -34,7 +35,7 @@ a GPL library and MXNet part of the Apache Software Foundation, MXNet must not
redistribute `libquadmath.so.0` as part of the Pypi package and users must
manually install it.
-To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.incubator.apache.org/versions/master/install/index.html) for instructions on building from source.
+To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master) for instructions on building from source.
Installation
------------
diff --git a/tools/pip/doc/NATIVE_ADDITIONAL.md b/tools/pip/doc/CU112_ADDITIONAL.md
similarity index 89%
copy from tools/pip/doc/NATIVE_ADDITIONAL.md
copy to tools/pip/doc/CU112_ADDITIONAL.md
index 23c592b..5e7c135 100644
--- a/tools/pip/doc/NATIVE_ADDITIONAL.md
+++ b/tools/pip/doc/CU112_ADDITIONAL.md
@@ -21,8 +21,9 @@ This package supports Linux and Windows platforms. You may also want to check:
- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
-- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
+- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.
- [mxnet](https://pypi.python.org/pypi/mxnet/).
+- [mxnet-native](https://pypi.python.org/pypi/mxnet-native/) CPU variant without MKLDNN.
To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html).
@@ -34,11 +35,11 @@ a GPL library and MXNet part of the Apache Software Foundation, MXNet must not
redistribute `libquadmath.so.0` as part of the Pypi package and users must
manually install it.
-To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master/install/index.html) for instructions on building from source.
+To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master) for instructions on building from source.
Installation
------------
To install:
```bash
-pip install mxnet-native
+pip install mxnet-cu112
```
diff --git a/tools/pip/doc/CU92_ADDITIONAL.md b/tools/pip/doc/CU92_ADDITIONAL.md
deleted file mode 100644
index fa4ff28..0000000
--- a/tools/pip/doc/CU92_ADDITIONAL.md
+++ /dev/null
@@ -1,45 +0,0 @@
-<!--- Licensed to the Apache Software Foundation (ASF) under one -->
-<!--- or more contributor license agreements. See the NOTICE file -->
-<!--- distributed with this work for additional information -->
-<!--- regarding copyright ownership. The ASF licenses this file -->
-<!--- to you 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. -->
-
-Prerequisites
--------------
-This package supports Linux and Windows platforms. You may also want to check:
-- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
-- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
-- [mxnet-cu90](https://pypi.python.org/pypi/mxnet-cu90/) with CUDA-9.0 support.
-- [mxnet-cu80](https://pypi.python.org/pypi/mxnet-cu80/) with CUDA-8.0 support.
-- [mxnet-cu75](https://pypi.python.org/pypi/mxnet-cu75/) with CUDA-7.5 support.
-- [mxnet](https://pypi.python.org/pypi/mxnet/).
-
-To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html).
-
-To use this package on Linux you need the `libquadmath.so.0` shared library. On
-Debian based systems, including Ubuntu, run `sudo apt install libquadmath0` to
-install the shared library. On RHEL based systems, including CentOS, run `sudo
-yum install libquadmath` to install the shared library. As `libquadmath.so.0` is
-a GPL library and MXNet part of the Apache Software Foundation, MXNet must not
-redistribute `libquadmath.so.0` as part of the Pypi package and users must
-manually install it.
-
-To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master/install/index.html) for instructions on building from source.
-
-Installation
-------------
-To install:
-```bash
-pip install mxnet-cu92
-```
diff --git a/tools/pip/doc/NATIVE_ADDITIONAL.md b/tools/pip/doc/NATIVE_ADDITIONAL.md
index 23c592b..88677f7 100644
--- a/tools/pip/doc/NATIVE_ADDITIONAL.md
+++ b/tools/pip/doc/NATIVE_ADDITIONAL.md
@@ -18,10 +18,11 @@
Prerequisites
-------------
This package supports Linux and Windows platforms. You may also want to check:
+- [mxnet-cu112](https://pypi.python.org/pypi/mxnet-cu112/) with CUDA-11.2 support.
- [mxnet-cu110](https://pypi.python.org/pypi/mxnet-cu110/) with CUDA-11.0 support.
- [mxnet-cu102](https://pypi.python.org/pypi/mxnet-cu102/) with CUDA-10.2 support.
- [mxnet-cu101](https://pypi.python.org/pypi/mxnet-cu101/) with CUDA-10.1 support.
-- [mxnet-cu92](https://pypi.python.org/pypi/mxnet-cu92/) with CUDA-9.2 support.
+- [mxnet-cu100](https://pypi.python.org/pypi/mxnet-cu100/) with CUDA-10.0 support.
- [mxnet](https://pypi.python.org/pypi/mxnet/).
To download CUDA, check [CUDA download](https://developer.nvidia.com/cuda-downloads). For more instructions, check [CUDA Toolkit online documentation](http://docs.nvidia.com/cuda/index.html).
@@ -34,7 +35,7 @@ a GPL library and MXNet part of the Apache Software Foundation, MXNet must not
redistribute `libquadmath.so.0` as part of the Pypi package and users must
manually install it.
-To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master/install/index.html) for instructions on building from source.
+To install for other platforms (e.g. Windows, Raspberry Pi/ARM) or other versions, check [Installing MXNet](https://mxnet.apache.org/versions/master) for instructions on building from source.
Installation
------------
diff --git a/tools/pip/setup.py b/tools/pip/setup.py
index c76f386..4e4b37b 100644
--- a/tools/pip/setup.py
+++ b/tools/pip/setup.py
@@ -131,7 +131,9 @@ libraries = []
if variant == 'CPU':
libraries.append('openblas')
else:
- if variant.startswith('CU110'):
+ if variant.startswith('CU112'):
+ libraries.append('CUDA-11.2')
+ elif variant.startswith('CU110'):
libraries.append('CUDA-11.0')
elif variant.startswith('CU102'):
libraries.append('CUDA-10.2')
@@ -139,8 +141,6 @@ else:
libraries.append('CUDA-10.1')
elif variant.startswith('CU100'):
libraries.append('CUDA-10.0')
- elif variant.startswith('CU92'):
- libraries.append('CUDA-9.2')
from mxnet.runtime import Features
if Features().is_enabled("MKLDNN"):
diff --git a/tools/setup_gpu_build_tools.sh b/tools/setup_gpu_build_tools.sh
index b2f8041..fa4bc82 100755
--- a/tools/setup_gpu_build_tools.sh
+++ b/tools/setup_gpu_build_tools.sh
@@ -29,7 +29,18 @@ VARIANT=$1
DEPS_PATH=$2
>&2 echo "Setting CUDA versions for $VARIANT"
-if [[ $VARIANT == cu110* ]]; then
+if [[ $VARIANT == cu112* ]]; then
+ CUDA_VERSION='11.2.135-1'
+ CUDA_PATCH_VERSION='11.4.1.1026-1'
+ CUDA_LIBS_VERSION='10.2.3.135-1'
+ CUDA_SOLVER_VERSION='11.1.0.135-1'
+ CUDA_NVTX_VERSION='11.2.67-1'
+ LIBCUDA_VERSION='460.32.03-0ubuntu1'
+ LIBCUDNN_VERSION='8.1.0.77-1+cuda11.2'
+ LIBNCCL_VERSION='2.8.4-1+cuda11.2'
+ LIBCUDART_VERSION='11.2.72-1'
+ LIBCUFFT_VERSION='10.4.0.135-1'
+elif [[ $VARIANT == cu110* ]]; then
CUDA_VERSION='11.0.221-1'
CUDA_PATCH_VERSION='11.2.0.252-1'
CUDA_LIBS_VERSION='10.2.1.245-1'
@@ -109,7 +120,31 @@ if [[ $VARIANT == cu* ]]; then
fi
# list of debs to download from nvidia
-if [[ $VARIANT == cu110* ]]; then
+if [[ $VARIANT == cu112* ]]; then
+ cuda_files=( \
+ "libcublas-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
+ "libcublas-dev-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
+ "cuda-cudart-${CUDA_MAJOR_DASH}_${LIBCUDART_VERSION}_amd64.deb" \
+ "cuda-cudart-dev-${CUDA_MAJOR_DASH}_${LIBCUDART_VERSION}_amd64.deb" \
+ "libcurand-${CUDA_MAJOR_DASH}_${CUDA_LIBS_VERSION}_amd64.deb" \
+ "libcurand-dev-${CUDA_MAJOR_DASH}_${CUDA_LIBS_VERSION}_amd64.deb" \
+ "libcufft-${CUDA_MAJOR_DASH}_${LIBCUFFT_VERSION}_amd64.deb" \
+ "libcufft-dev-${CUDA_MAJOR_DASH}_${LIBCUFFT_VERSION}_amd64.deb" \
+ "cuda-nvrtc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
+ "cuda-nvrtc-dev-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
+ "libcusolver-${CUDA_MAJOR_DASH}_${CUDA_SOLVER_VERSION}_amd64.deb" \
+ "libcusolver-dev-${CUDA_MAJOR_DASH}_${CUDA_SOLVER_VERSION}_amd64.deb" \
+ "cuda-nvcc-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
+ "cuda-nvtx-${CUDA_MAJOR_DASH}_${CUDA_NVTX_VERSION}_amd64.deb" \
+ "libcuda1-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
+ "cuda-nvprof-${CUDA_MAJOR_DASH}_${CUDA_VERSION}_amd64.deb" \
+ "nvidia-${LIBCUDA_MAJOR}_${LIBCUDA_VERSION}_amd64.deb" \
+ )
+ ml_files=( \
+ "libcudnn${LIBCUDNN_MAJOR}-dev_${LIBCUDNN_VERSION}_amd64.deb" \
+ "libnccl-dev_${LIBNCCL_VERSION}_amd64.deb" \
+ )
+elif [[ $VARIANT == cu110* ]]; then
cuda_files=( \
"libcublas-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
"libcublas-dev-${CUDA_MAJOR_DASH}_${CUDA_PATCH_VERSION}_amd64.deb" \
diff --git a/tools/staticbuild/README.md b/tools/staticbuild/README.md
index e21abdf..2ca8923 100644
--- a/tools/staticbuild/README.md
+++ b/tools/staticbuild/README.md
@@ -25,9 +25,9 @@ automatically identifing the system version, number of cores, and all
environment variable settings. Here are examples you can run with this script:
```
-tools/staticbuild/build.sh cu102
+tools/staticbuild/build.sh cu112
```
-This would build the mxnet package based on CUDA 10.2. Currently, we support variants cpu, native, cu92, cu100, cu101, cu102 and cu110. All of these variants expect native have MKL-DNN backend enabled.
+This would build the mxnet package based on CUDA 11.2. Currently, we support variants cpu, native, cu100, cu101, cu102, cu110, and cu112. All of these variants expect native have MKL-DNN backend enabled.
```
tools/staticbuild/build.sh cpu