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|
# Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import glob
import os
import sys
class PyTensorflow(Package, CudaPackage):
"""TensorFlow is an Open Source Software Library for Machine Intelligence
"""
homepage = "https://www.tensorflow.org"
url = "https://github.com/tensorflow/tensorflow/archive/v2.0.0.tar.gz"
maintainers = ['adamjstewart']
import_modules = ['tensorflow']
version('2.1.0-rc0', sha256='674cc90223f1d6b7fa2969e82636a630ce453e48a9dec39d73d6dba2fd3fd243')
version('2.0.0', sha256='49b5f0495cd681cbcb5296a4476853d4aea19a43bdd9f179c928a977308a0617', preferred=True)
version('1.15.0', sha256='a5d49c00a175a61da7431a9b289747d62339be9cf37600330ad63b611f7f5dc9')
version('1.14.0', sha256='aa2a6a1daafa3af66807cfe0bc77bfe1144a9a53df9a96bab52e3e575b3047ed')
version('1.13.2', sha256='abe3bf0c47845a628b7df4c57646f41a10ee70f914f1b018a5c761be75e1f1a9')
version('1.13.1', sha256='7cd19978e6bc7edc2c847bce19f95515a742b34ea5e28e4389dade35348f58ed')
version('1.12.3', sha256='b9e5488e84f4a133ed20b18605f0cd6301f11d356bd959712db4e7b9301d0462')
version('1.12.2', sha256='90ffc7cf1df5e4b8385c9108db18d5d5034ec423547c0e167d44f5746a20d06b')
version('1.12.1', sha256='7b559a3ae56322b7a7e4307f45f9fce96022c533a98b32c18bfdff8c5838271d')
version('1.12.0', sha256='3c87b81e37d4ed7f3da6200474fa5e656ffd20d8811068572f43610cae97ca92')
version('1.11.0', sha256='f49ce3f1d04cee854bc9f74fa9696991140b34a2e2447f35f01391b72c8bfa9f')
version('1.10.1', sha256='83092d709800e2d93d4d4b1bcacaeb74f2f328962ed764cb35bbee20402879c6')
version('1.10.0', sha256='ee9cb98d9e0d8106f2f4ed52a38fe89399324af303e1401567e5b64a9f86744b')
version('1.9.0', sha256='ffc3151b06823d57b4a408261ba8efe53601563dfe93af0866751d4f6ca5068c')
version('1.8.0', sha256='47646952590fd213b747247e6870d89bb4a368a95ae3561513d6c76e44f92a75')
version('1.7.1', sha256='3147f8c60d1f30da23a831bcf732e74b935dcee7c62e4b8b85f0f093030b52c8')
version('1.7.0', sha256='c676a96fc8700722816b2b98c85578b2f99fac7a7b2484c9c7f0641484f8d50d')
version('1.6.0', sha256='03cf1423446abbead6bd8c3cf6e6affa7d99746cd119691b012aac9a1795f4fb')
version('1.5.1', sha256='cab2157783905e12a7a3baae3264edfb739dd92d5658019a131fff4b14190240')
version('1.5.0', sha256='0642781c3a3a8c2c4834b91b86aec385f0b2ada7d721571458079478cc5b29c8')
version('1.4.1', sha256='1f75e463318419a1b3ae076d5a92697c1d3a85e8377c946a5510b651ff5c0d60')
version('1.4.0', sha256='8a0ad8d61f8f6c0282c548661994a5ab83ac531bac496c3041dedc1ab021107b')
version('1.3.1', sha256='ded509c209f8a1d390df8a2f44be5b5c29963172b0e0f095304efb59765d0523')
version('1.3.0', sha256='e1af1bb767b57c3416de0d43a5f74d174c42b85231dffd36f3630173534d4307')
version('1.2.1', sha256='f2baf09b1a9a0500907b4d5cb5473070b3ecede06ed6e8d1096873c91922fb9e')
version('1.2.0', sha256='03dbf7548d1fc1c11ed58da5fa68616f795c819f868f43478cbcaa26abed374f')
version('1.1.0', sha256='aad4470f52fa59f54de7b9a2da727429e6755d91d756f245f952698c42a60027')
version('1.0.1', sha256='deea3c65e0703da96d9c3f1162e464c51d37659dd129396af134e9e8f1ea8c05')
version('1.0.0', sha256='db8b3b8f4134b7c9c1b4165492ad5d5bb78889fcd99ffdffc325e97da3e8c677')
version('0.12.0', sha256='13a1d4e98c82eae7e26fe75384de1517d6126f63ba5d302392ec02ac3ae4b1b9')
version('0.11.0', sha256='24242ff696234bb1e58d09d45169b148525ccb706f980a4a92ddd3b82c7546dc')
version('0.10.0', sha256='f32df04e8f7186aaf6723fc5396733b2f6c2fd6fe4a53a54a68b80f3ec855680')
version('0.9.0', sha256='3128c396af19518c642d3e590212291e1d93c5b047472a10cf3245b53adac9c9')
version('0.8.0', sha256='f201ba7fb7609a6416968d4e1920d87d67be693b5bc7d34b6b4a79860a9a8a4e')
version('0.7.1', sha256='ef34121432f7a522cf9f99a56cdd86e370cc5fa3ee31255ca7cb17f36b8dfc0d')
version('0.7.0', sha256='43dd3051f947aa66e6fc09dac2f86a2efe2e019736bbd091c138544b86d717ce')
version('0.6.0', sha256='f86ace45e99053b09749cd55ab79c57274d8c7460ae763c5e808d81ffbc3b657')
variant('mkl', default=False, description='Build with MKL support')
variant('jemalloc', default=False, description='Build with jemalloc as malloc support')
# FIXME: ~gcp does not build for 2.0.0
# See https://github.com/tensorflow/tensorflow/issues/34878
variant('gcp', default=True, description='Build with Google Cloud Platform support')
variant('hdfs', default=False, description='Build with Hadoop File System support')
variant('aws', default=False, description='Build with Amazon AWS Platform support')
variant('kafka', default=False, description='Build with Apache Kafka Platform support')
variant('ignite', default=False, description='Build with Apache Ignite support')
variant('xla', default=False, description='Build with XLA JIT support')
variant('gdr', default=False, description='Build with GDR support')
variant('verbs', default=False, description='Build with libverbs support')
variant('ngraph', default=False, description='Build with Intel nGraph support')
variant('opencl', default=False, description='Build with OpenCL SYCL support')
variant('computecpp', default=False, description='Build with ComputeCPP support')
variant('rocm', default=False, description='Build with ROCm support')
variant('tensorrt', default=False, description='Build with TensorRT support')
variant('cuda', default=sys.platform != 'darwin', description='Build with CUDA support')
variant('nccl', default=sys.platform.startswith('linux'), description='Enable NVIDIA NCCL support')
variant('mpi', default=False, description='Build with MPI support')
variant('android', default=False, description='Configure for Android builds')
variant('ios', default=False, description='Build with iOS support (macOS only)')
variant('monolithic', default=False, description='Static monolithic build')
variant('numa', default=False, description='Build with NUMA support')
variant('dynamic_kernels', default=False, description='Build kernels into separate shared objects')
extends('python')
# TODO: Older versions of TensorFlow don't list the viable version range,
# just the minimum version of bazel that will work. The latest version of
# bazel doesn't seem to work, so for now we force them to use min version.
# Need to investigate further.
# See _TF_MIN_BAZEL_VERSION and _TF_MAX_BAZEL_VERSION in configure.py
depends_on('bazel@0.27.1:0.29.1', type='build', when='@2.1:')
depends_on('bazel@0.24.1:0.26.1', type='build', when='@1.15:2.0')
# See call to check_bazel_version in configure.py
depends_on('bazel@0.24.1:0.25.2', type='build', when='@1.14.0')
depends_on('bazel@0.19.0:0.21.0', type='build', when='@1.13.0:1.13.2')
depends_on('bazel@0.24.1:0.25.0', type='build', when='@1.12.1')
depends_on('bazel@0.15.0', type='build', when='@1.10:1.12.0,1.12.2:1.12.3')
depends_on('bazel@0.10.0', type='build', when='@1.7:1.9')
# See call to check_version in tensorflow/workspace.bzl
depends_on('bazel@0.5.4', type='build', when='@1.4:1.6')
# See MIN_BAZEL_VERSION in configure
depends_on('bazel@0.4.5', type='build', when='@1.2:1.3')
# See call to check_version in WORKSPACE
depends_on('bazel@0.4.2', type='build', when='@1.0:1.1')
depends_on('bazel@0.3.2', type='build', when='@0.12.0:0.12.1')
depends_on('bazel@0.3.0', type='build', when='@0.11.0')
depends_on('bazel@0.2.0', type='build', when='@0.9:0.10')
depends_on('bazel@0.1.4', type='build', when='@0.7:0.8')
depends_on('bazel@0.1.1', type='build', when='@0.5:0.6')
depends_on('swig', type='build')
depends_on('py-setuptools', type='build')
depends_on('py-future', type='build', when='^python@:2')
# Listed under REQUIRED_PACKAGES in tensorflow/tools/pip_package/setup.py
depends_on('py-absl-py@0.7.0:', type=('build', 'run'), when='@1.12.1,1.14:')
depends_on('py-absl-py@0.1.6:', type=('build', 'run'), when='@1.5:')
depends_on('py-astor@0.6.0:', type=('build', 'run'), when='@1.6:')
depends_on('py-backports-weakref@1.0:', type=('build', 'run'), when='@1.3: ^python@:3.3')
depends_on('py-backports-weakref@1.0rc1', type=('build', 'run'), when='@1.2.0:1.2.1')
depends_on('py-enum34@1.1.6:', type=('build', 'run'), when='@1.5: ^python@:3.3')
depends_on('py-enum34@1.1.6:', type=('build', 'run'), when='@1.4.0:1.4.1')
depends_on('py-gast@0.2.2', type=('build', 'run'), when='@1.15:')
depends_on('py-gast@0.2.0:', type=('build', 'run'), when='@1.6:')
depends_on('py-google-pasta@0.1.6:', type=('build', 'run'), when='@1.14:')
depends_on('py-google-pasta@0.1.2:', type=('build', 'run'), when='@1.12.1')
depends_on('py-keras-applications@1.0.8:', type=('build', 'run'), when='@1.15:')
depends_on('py-keras-applications@1.0.6:', type=('build', 'run'), when='@1.12:')
depends_on('py-keras-applications@1.0.5:', type=('build', 'run'), when='@1.11:')
depends_on('py-keras-preprocessing@1.1.0:', type=('build', 'run'), when='@2.1:')
depends_on('py-keras-preprocessing@1.0.5:', type=('build', 'run'), when='@1.12:')
depends_on('py-keras-preprocessing@1.0.3:', type=('build', 'run'), when='@1.11:')
depends_on('py-numpy@1.16.0:1.999', type=('build', 'run'), when='@1.13.2,1.15:')
depends_on('py-numpy@1.14.5:1.999', type=('build', 'run'), when='@1.12.1,1.14.0')
depends_on('py-numpy@1.13.3:1.14.5', type=('build', 'run'), when='@1.10.0:1.10.1')
depends_on('py-numpy@1.13.3:', type=('build', 'run'), when='@1.6:')
depends_on('py-numpy@1.12.1:', type=('build', 'run'), when='@1.4:')
depends_on('py-numpy@1.11.0:', type=('build', 'run'), when='@0.11:')
depends_on('py-numpy@1.10.1:', type=('build', 'run'), when='@0.7.1: platform=darwin')
depends_on('py-numpy@1.8.2:', type=('build', 'run'), when='@0.6:')
depends_on('py-numpy@1.9.2:', type=('build', 'run'), when='@0.5.0')
depends_on('py-opt-einsum@2.3.2:', type=('build', 'run'), when='@1.15:')
depends_on('py-protobuf@3.8.0:', type=('build', 'run'), when='@2.1:')
depends_on('py-protobuf@3.6.1:', type=('build', 'run'), when='@1.12:')
depends_on('py-protobuf@3.6.0:', type=('build', 'run'), when='@1.10:')
depends_on('py-protobuf@3.4.0:', type=('build', 'run'), when='@1.5:')
depends_on('py-protobuf@3.3.0:', type=('build', 'run'), when='@1.3:')
depends_on('py-protobuf@3.2.0:', type=('build', 'run'), when='@1.1:')
depends_on('py-protobuf@3.1.0:', type=('build', 'run'), when='@0.12.1:')
depends_on('py-protobuf@3.1.0', type=('build', 'run'), when='@0.12.0')
depends_on('py-protobuf@3.0.0', type=('build', 'run'), when='@0.11.0')
depends_on('py-protobuf@3.0.0b2', type=('build', 'run'), when='@0.7.1:0.10')
depends_on('py-protobuf@3.0.0a3', type=('build', 'run'), when='@0.6:0.7.0')
# tensorboard
# tensorflow-estimator
depends_on('py-termcolor@1.1.0:', type=('build', 'run'), when='@1.6:')
depends_on('py-wrapt@1.11.1:', type=('build', 'run'), when='@1.12.1,1.14:')
depends_on('py-wheel', type=('build', 'run'), when='@0.6:')
depends_on('py-wheel@0.26:', type=('build', 'run'), when='@0.6: ^python@3:')
depends_on('py-mock@2.0.0:', type=('build', 'run'), when='@0.10: ^python@:2')
depends_on('py-functools32@3.2.3:', type=('build', 'run'), when='@1.15: ^python@:2')
depends_on('py-six@1.12.0:', type=('build', 'run'), when='@2.1:')
depends_on('py-six@1.10.0:', type=('build', 'run'), when='@:2.0')
depends_on('py-grpcio@1.8.6:', type=('build', 'run'), when='@1.6:1.7')
if sys.byteorder == 'little':
# Only builds correctly on little-endian machines
depends_on('py-grpcio@1.8.6:', type=('build', 'run'), when='@1.8:')
# Listed under TEST_PACKAGES in tensorflow/tools/pip_package/setup.py
depends_on('py-scipy@0.15.1:', type='test')
# TODO: add packages for some of these dependencies
depends_on('mkl', when='+mkl')
depends_on('curl', when='+gcp')
# depends_on('computecpp', when='+opencl+computecpp')
# depends_on('trisycl', when='+opencl~computepp')
depends_on('cudnn', when='+cuda')
depends_on('cudnn@6.5', when='@0.5:0.6 +cuda')
# depends_on('tensorrt', when='+tensorrt')
depends_on('nccl', when='+nccl')
depends_on('mpi', when='+mpi')
# depends_on('android-ndk@10:18', when='+android')
# depends_on('android-sdk', when='+android')
# Check configure and configure.py to see when these variants are supported
conflicts('+mkl', when='@:1.0')
conflicts('+mkl', when='platform=darwin', msg='Darwin is not yet supported')
conflicts('+jemalloc', when='@:0')
conflicts('+jemalloc', when='platform=darwin', msg='Currently jemalloc is only support on Linux platform')
conflicts('+jemalloc', when='platform=cray', msg='Currently jemalloc is only support on Linux platform')
conflicts('+jemalloc', when='platform=bgq', msg='Currently jemalloc is only support on Linux platform')
conflicts('+gcp', when='@:0.8')
conflicts('+hdfs', when='@:0.10')
conflicts('+aws', when='@:1.3')
conflicts('+kafka', when='@:1.5')
conflicts('+ignite', when='@:1.11')
conflicts('+xla', when='@:0')
conflicts('+gdr', when='@:1.3')
conflicts('+verbs', when='@:1.1')
conflicts('+ngraph', when='@:1.10')
conflicts('+opencl', when='@:0.11')
conflicts('+computecpp', when='@:0.11')
conflicts('+computecpp', when='~opencl')
conflicts('+rocm', when='@:1.11')
conflicts('+cuda', when='platform=darwin', msg='There is no GPU support for macOS')
conflicts('cuda_arch=none', when='+cuda', msg='Must specify CUDA compute capabilities of your GPU, see https://developer.nvidia.com/cuda-gpus')
conflicts('cuda_arch=20', when='@1.12.1,1.14:', msg='TensorFlow only supports compute capabilities >= 3.5')
conflicts('cuda_arch=30', when='@1.12.1,1.14:', msg='TensorFlow only supports compute capabilities >= 3.5')
conflicts('cuda_arch=32', when='@1.12.1,1.14:', msg='TensorFlow only supports compute capabilities >= 3.5')
conflicts('cuda_arch=20', when='@1.4:1.12.0,1.12.2:1.12.3', msg='Only compute capabilities 3.0 or higher are supported')
conflicts('+tensorrt', when='@:1.5')
conflicts('+tensorrt', when='~cuda')
conflicts('+tensorrt', when='platform=darwin', msg='Currently TensorRT is only supported on Linux platform')
conflicts('+tensorrt', when='platform=cray', msg='Currently TensorRT is only supported on Linux platform')
conflicts('+tensorrt', when='platform=bgq', msg='Currently TensorRT is only supported on Linux platform')
conflicts('+nccl', when='@:1.7')
conflicts('+nccl', when='~cuda')
conflicts('+nccl', when='platform=darwin', msg='Currently NCCL is only supported on Linux platform')
conflicts('+nccl', when='platform=cray', msg='Currently NCCL is only supported on Linux platform')
conflicts('+nccl', when='platform=bgq', msg='Currently NCCL is only supported on Linux platform')
conflicts('+mpi', when='@:1.2')
conflicts('+android', when='@:1.4')
conflicts('+ios', when='@:1.12.0,1.12.2:1.13')
conflicts('+ios', when='platform=linux', msg='iOS support only available on macOS')
conflicts('+ios', when='platform=cray', msg='iOS support only available on macOS')
conflicts('+ios', when='platform=bgq', msg='iOS support only available on macOS')
conflicts('+monolithic', when='@:1.3')
conflicts('+numa', when='@:1.12.0,1.12.2:1.13')
conflicts('+dynamic_kernels', when='@:1.12.0,1.12.2:1.12.3')
# TODO: why is this needed?
patch('url-zlib.patch', when='@0.10.0')
# TODO: why is this needed?
patch('crosstool.patch', when='@0.10.0+cuda')
# Avoid build error: "no such package '@io_bazel_rules_docker..."
patch('io_bazel_rules_docker2.patch', when='@1.15.0,2.0.0')
# Avoide build error: "name 'new_http_archive' is not defined"
patch('http_archive.patch', when='@1.12.3')
phases = ['configure', 'build', 'install']
# https://www.tensorflow.org/install/source
def setup_build_environment(self, env):
spec = self.spec
# Please specify the location of python
env.set('PYTHON_BIN_PATH', spec['python'].command.path)
# Please input the desired Python library path to use
env.set('PYTHON_LIB_PATH', site_packages_dir)
# Ensure swig is in PATH or set SWIG_PATH
env.set('SWIG_PATH', spec['swig'].prefix.bin.swig)
# Do you wish to build TensorFlow with MKL support?
if '+mkl' in spec:
env.set('TF_NEED_MKL', '1')
# Do you wish to download MKL LIB from the web?
env.set('TF_DOWNLOAD_MKL', '0')
# Please specify the location where MKL is installed
env.set('MKL_INSTALL_PATH', spec['mkl'].prefix)
else:
env.set('TF_NEED_MKL', '0')
# Do you wish to build TensorFlow with jemalloc as malloc support?
if '+jemalloc' in spec:
env.set('TF_NEED_JEMALLOC', '1')
else:
env.set('TF_NEED_JEMALLOC', '0')
# Do you wish to build TensorFlow with Google Cloud Platform support?
if '+gcp' in spec:
env.set('TF_NEED_GCP', '1')
else:
env.set('TF_NEED_GCP', '0')
# Do you wish to build TensorFlow with Hadoop File System support?
if '+hdfs' in spec:
env.set('TF_NEED_HDFS', '1')
else:
env.set('TF_NEED_HDFS', '0')
# Do you wish to build TensorFlow with Amazon AWS Platform support?
if '+aws' in spec:
env.set('TF_NEED_AWS', '1')
env.set('TF_NEED_S3', '1')
else:
env.set('TF_NEED_AWS', '0')
env.set('TF_NEED_S3', '0')
# Do you wish to build TensorFlow with Apache Kafka Platform support?
if '+kafka' in spec:
env.set('TF_NEED_KAFKA', '1')
else:
env.set('TF_NEED_KAFKA', '0')
# Do you wish to build TensorFlow with Apache Ignite support?
if '+ignite' in spec:
env.set('TF_NEED_IGNITE', '1')
else:
env.set('TF_NEED_IGNITE', '0')
# Do you wish to build TensorFlow with XLA JIT support?
if '+xla' in spec:
env.set('TF_ENABLE_XLA', '1')
else:
env.set('TF_ENABLE_XLA', '0')
# Do you wish to build TensorFlow with GDR support?
if '+gdr' in spec:
env.set('TF_NEED_GDR', '1')
else:
env.set('TF_NEED_GDR', '0')
# Do you wish to build TensorFlow with VERBS support?
if '+verbs' in spec:
env.set('TF_NEED_VERBS', '1')
else:
env.set('TF_NEED_VERBS', '0')
# Do you wish to build TensorFlow with nGraph support?
if '+ngraph' in spec:
env.set('TF_NEED_NGRAPH', '1')
else:
env.set('TF_NEED_NGRAPH', '0')
# Do you wish to build TensorFlow with OpenCL SYCL support?
if '+opencl' in spec:
env.set('TF_NEED_OPENCL_SYCL', '1')
env.set('TF_NEED_OPENCL', '1')
# Please specify which C++ compiler should be used as the host
# C++ compiler
env.set('HOST_CXX_COMPILER', spack_cxx)
# Please specify which C compiler should be used as the host
# C compiler
env.set('HOST_C_COMPILER', spack_cc)
# Do you wish to build TensorFlow with ComputeCPP support?
if '+computecpp' in spec:
env.set('TF_NEED_COMPUTECPP', '1')
# Please specify the location where ComputeCpp is installed
env.set('COMPUTECPP_TOOLKIT_PATH', spec['computecpp'].prefix)
else:
env.set('TF_NEED_COMPUTECPP', '0')
# Please specify the location of the triSYCL include directory
env.set('TRISYCL_INCLUDE_DIR', spec['trisycl'].prefix.include)
else:
env.set('TF_NEED_OPENCL_SYCL', '0')
env.set('TF_NEED_OPENCL', '0')
# Do you wish to build TensorFlow with ROCm support?
if '+rocm' in spec:
env.set('TF_NEED_ROCM', '1')
else:
env.set('TF_NEED_ROCM', '0')
# Do you wish to build TensorFlow with CUDA support?
if '+cuda' in spec:
env.set('TF_NEED_CUDA', '1')
# Do you want to use clang as CUDA compiler?
env.set('TF_CUDA_CLANG', '0')
# Please specify which gcc nvcc should use as the host compiler
env.set('GCC_HOST_COMPILER_PATH', spack_cc)
cuda_paths = [
spec['cuda'].prefix,
spec['cudnn'].prefix,
]
# Do you wish to build TensorFlow with TensorRT support?
if '+tensorrt' in spec:
env.set('TF_NEED_TENSORRT', '1')
cuda_paths.append(spec['tensorrt'].prefix)
# Please specify the TensorRT version you want to use
env.set('TF_TENSORRT_VERSION',
spec['tensorrt'].version.up_to(1))
# Please specify the location where TensorRT is installed
env.set('TENSORRT_INSTALL_PATH', spec['tensorrt'].prefix)
else:
env.set('TF_NEED_TENSORRT', '0')
env.unset('TF_TENSORRT_VERSION')
# Please specify the CUDA SDK version you want to use
env.set('TF_CUDA_VERSION', spec['cuda'].version.up_to(2))
# Please specify the cuDNN version you want to use
env.set('TF_CUDNN_VERSION', spec['cudnn'].version.up_to(1))
if '+nccl' in spec:
cuda_paths.append(spec['nccl'].prefix)
# Please specify the locally installed NCCL version to use
env.set('TF_NCCL_VERSION', spec['nccl'].version.up_to(1))
# Please specify the location where NCCL is installed
env.set('NCCL_INSTALL_PATH', spec['nccl'].prefix)
env.set('NCCL_HDR_PATH', spec['nccl'].prefix.include)
else:
env.unset('TF_NCCL_VERSION')
# Please specify the comma-separated list of base paths to
# look for CUDA libraries and headers
env.set('TF_CUDA_PATHS', ','.join(cuda_paths))
# Please specify the location where CUDA toolkit is installed
env.set('CUDA_TOOLKIT_PATH', spec['cuda'].prefix)
# Please specify the location where CUDNN library is installed
env.set('CUDNN_INSTALL_PATH', spec['cudnn'].prefix)
# Please specify a list of comma-separated CUDA compute
# capabilities you want to build with. You can find the compute
# capability of your device at:
# https://developer.nvidia.com/cuda-gpus.
# Please note that each additional compute capability significantly
# increases your build time and binary size, and that TensorFlow
# only supports compute capabilities >= 3.5
capabilities = ','.join('{0:.1f}'.format(
float(i) / 10.0) for i in spec.variants['cuda_arch'].value)
env.set('TF_CUDA_COMPUTE_CAPABILITIES', capabilities)
else:
env.set('TF_NEED_CUDA', '0')
# Do you wish to download a fresh release of clang? (Experimental)
env.set('TF_DOWNLOAD_CLANG', '0')
# Do you wish to build TensorFlow with MPI support?
if '+mpi' in spec:
env.set('TF_NEED_MPI', '1')
# Please specify the MPI toolkit folder
env.set('MPI_HOME', spec['mpi'].prefix)
else:
env.set('TF_NEED_MPI', '0')
env.unset('MPI_HOME')
# Please specify optimization flags to use during compilation when
# bazel option '--config=opt' is specified
env.set('CC_OPT_FLAGS', spec.target.optimization_flags(
spec.compiler.name, spec.compiler.version))
# Would you like to interactively configure ./WORKSPACE for
# Android builds?
if '+android' in spec:
env.set('TF_SET_ANDROID_WORKSPACE', '1')
# Please specify the home path of the Android NDK to use
env.set('ANDROID_NDK_HOME', spec['android-ndk'].prefix)
env.set('ANDROID_NDK_API_LEVEL', spec['android-ndk'].version)
# Please specify the home path of the Android SDK to use
env.set('ANDROID_SDK_HOME', spec['android-sdk'].prefix)
env.set('ANDROID_SDK_API_LEVEL', spec['android-sdk'].version)
# Please specify the Android SDK API level to use
env.set('ANDROID_API_LEVEL', spec['android-sdk'].version)
# Please specify an Android build tools version to use
env.set('ANDROID_BUILD_TOOLS_VERSION', spec['android-sdk'].version)
else:
env.set('TF_SET_ANDROID_WORKSPACE', '0')
# Do you wish to build TensorFlow with iOS support?
if '+ios' in spec:
env.set('TF_CONFIGURE_IOS', '1')
else:
env.set('TF_CONFIGURE_IOS', '0')
# set tmpdir to a non-NFS filesystem
# (because bazel uses ~/.cache/bazel)
# TODO: This should be checked for non-nfsy filesystem, but the current
# best idea for it is to check
# subprocess.call([
# 'stat', '--file-system', '--format=%T', tmp_path
# ])
# to not be nfs. This is only valid for Linux and we'd like to
# stay at least also OSX compatible
tmp_path = '/tmp/spack/tf'
mkdirp(tmp_path)
env.set('TEST_TMPDIR', tmp_path)
def configure(self, spec, prefix):
# NOTE: configure script is interactive. If you set the appropriate
# environment variables, this interactivity is skipped. If you don't,
# Spack hangs during the configure phase. Use `spack build-env` to
# determine which environment variables must be set for a particular
# version.
configure()
@run_after('configure')
def post_configure_fixes(self):
spec = self.spec
if spec.satisfies('@1.5.0: ~android'):
# env variable is somehow ignored -> brute force
# TODO: find a better solution
filter_file(r'if workspace_has_any_android_rule\(\)',
r'if True',
'configure.py')
# version dependent fixes
if spec.satisfies('@1.3.0:1.5.0'):
# checksum for protobuf that bazel downloads (@github) changed
filter_file(r'sha256 = "6d43b9d223ce09e5d4ce8b0060cb8a7513577a35a64c7e3dad10f0703bf3ad93"',
r'sha256 = "e5fdeee6b28cf6c38d61243adff06628baa434a22b5ebb7432d2a7fbabbdb13d"',
'tensorflow/workspace.bzl')
# starting with tensorflow 1.3, tensorboard becomes a dependency
# (...but is not really needed? Tensorboard should depend on
# tensorflow, not the other way!)
# -> remove from list of required packages
filter_file(r"'tensorflow-tensorboard",
r"#'tensorflow-tensorboard",
'tensorflow/tools/pip_package/setup.py')
if spec.satisfies('@1.5.0: ~gcp'):
# google cloud support seems to be installed on default, leading
# to boringssl error manually set the flag to false to avoid
# installing gcp support
# https://github.com/tensorflow/tensorflow/issues/20677#issuecomment-404634519
filter_file(r'--define with_gcp_support=true',
r'--define with_gcp_support=false',
'.tf_configure.bazelrc')
if spec.satisfies('@1.6.0:'):
# tensorboard name changed
filter_file(r"'tensorboard >=",
r"#'tensorboard >=",
'tensorflow/tools/pip_package/setup.py')
if spec.satisfies('@1.8.0: ~opencl'):
# 1.8.0 and 1.9.0 aborts with numpy import error during python_api
# generation somehow the wrong PYTHONPATH is used...
# set --distinct_host_configuration=false as a workaround
# https://github.com/tensorflow/tensorflow/issues/22395#issuecomment-431229451
filter_file('build --action_env TF_NEED_OPENCL_SYCL="0"',
'build --action_env TF_NEED_OPENCL_SYCL="0"\n'
'build --distinct_host_configuration=false\n'
'build --action_env PYTHONPATH="{0}"'.format(
env['PYTHONPATH']),
'.tf_configure.bazelrc')
if spec.satisfies('@1.13.1'):
# tensorflow_estimator is an API for tensorflow
# tensorflow-estimator imports tensorflow during build, so
# tensorflow has to be set up first
filter_file(r"'tensorflow_estimator >=",
r"#'tensorflow_estimator >=",
'tensorflow/tools/pip_package/setup.py')
if spec.satisfies('@2.0.0:'):
# now it depends on the nightly versions...
filter_file(r"'tf-estimator-nightly >=",
r"#'tf-estimator-nightly >=",
'tensorflow/tools/pip_package/setup.py')
filter_file(r"REQUIRED_PACKAGES\[i\] = 'tb-nightly >=",
r"pass #REQUIRED_PACKAGES\[i\] = 'tb-nightly >=",
'tensorflow/tools/pip_package/setup.py')
filter_file(r"'tb-nightly >=",
r"#'tb-nightly >=",
'tensorflow/tools/pip_package/setup.py')
if spec.satisfies('@1.13.1 +nccl'):
filter_file(
r'^build --action_env NCCL_INSTALL_PATH=.*',
r'build --action_env NCCL_INSTALL_PATH="' +
spec['nccl'].libs.directories[0] + '"',
'.tf_configure.bazelrc')
filter_file(
r'^build --action_env NCCL_HDR_PATH=.*',
r'build --action_env NCCL_HDR_PATH="' +
spec['nccl'].prefix.include + '"',
'.tf_configure.bazelrc')
if spec.satisfies('+cuda'):
libs = spec['cuda'].libs.directories
libs.extend(spec['cudnn'].libs.directories)
if '+nccl' in spec:
libs.extend(spec['nccl'].libs.directories)
if '+tensorrt' in spec:
libs.extend(spec['tensorrt'].libs.directories)
slibs = ':'.join(libs)
filter_file('build --action_env TF_NEED_OPENCL_SYCL="0"',
'build --action_env TF_NEED_OPENCL_SYCL="0"\n'
'build --action_env LD_LIBRARY_PATH="' + slibs + '"',
'.tf_configure.bazelrc')
def build(self, spec, prefix):
tmp_path = env['TEST_TMPDIR']
# https://docs.bazel.build/versions/master/command-line-reference.html
args = [
# Don't allow user or system .bazelrc to override build settings
'--nohome_rc',
'--nosystem_rc',
# Bazel does not work properly on NFS, switch to /tmp
'--output_user_root=' + tmp_path,
'build',
# Spack logs don't handle colored output well
'--color=no',
'--jobs={0}'.format(make_jobs),
'--config=opt',
# Enable verbose output for failures
'--verbose_failures',
# Show (formatted) subcommands being executed
'--subcommands=pretty_print',
# Ask bazel to explain what it's up to
# Needs a filename as argument
'--explain=explainlogfile.txt',
# Increase verbosity of explanation,
'--verbose_explanations',
]
# See .bazelrc for when each config flag is supported
if spec.satisfies('@1.12.1:'):
if '+mkl' in spec:
args.append('--config=mkl')
if '+monolithic' in spec:
args.append('--config=monolithic')
if '+gdr' in spec:
args.append('--config=gdr')
if '+verbs' in spec:
args.append('--config=verbs')
if '+ngraph' in spec:
args.append('--config=ngraph')
if '+dynamic_kernels' in spec:
args.append('--config=dynamic_kernels')
if '+cuda' in spec:
args.append('--config=cuda')
if '~aws' in spec:
args.append('--config=noaws')
if '~gcp' in spec:
args.append('--config=nogcp')
if '~hdfs' in spec:
args.append('--config=nohdfs')
if '~ignite' in spec:
args.append('--config=noignite')
if '~kafka' in spec:
args.append('--config=nokafka')
if '~nccl' in spec:
args.append('--config=nonccl')
if spec.satisfies('@1.12.1,1.14:'):
if '+numa' in spec:
args.append('--config=numa')
if spec.satisfies('@2:'):
args.append('--config=v2')
if spec.satisfies('%gcc@5:'):
args.append('--cxxopt=-D_GLIBCXX_USE_CXX11_ABI=0')
if spec.satisfies('@2.1:'):
# TODO: is this needed?
args.append('--define=tensorflow_mkldnn_contraction_kernel=0')
args.append('//tensorflow/tools/pip_package:build_pip_package')
bazel(*args)
build_pip_package = Executable(
'bazel-bin/tensorflow/tools/pip_package/build_pip_package')
build_pip_package(tmp_path)
def install(self, spec, prefix):
with working_dir('spack-build', create=True):
for fn in glob.iglob(join_path(
'../bazel-bin/tensorflow/tools/pip_package',
'build_pip_package.runfiles/org_tensorflow/*')):
dst = os.path.basename(fn)
if not os.path.exists(dst):
os.symlink(fn, dst)
for fn in glob.iglob('../tensorflow/tools/pip_package/*'):
dst = os.path.basename(fn)
if not os.path.exists(dst):
os.symlink(fn, dst)
# macOS is case-insensitive, and BUILD file in directory
# containing setup.py causes the following error message:
# error: could not create 'build': File exists
# Delete BUILD file to prevent this.
os.remove('BUILD')
setup_py('install', '--prefix={0}'.format(prefix),
'--single-version-externally-managed', '--root=/')
@run_after('install')
@on_package_attributes(run_tests=True)
def import_module_test(self):
with working_dir('spack-test', create=True):
for module in self.import_modules:
python('-c', 'import {0}'.format(module))
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