tensorboard-data-server: build issues on Apple M1 (arm64) #5713
Description
Environment information (required)
Diagnostics
Diagnostics output
--- check: autoidentify
INFO: diagnose_tensorboard.py version e43767ef2b648d0d5d57c00f38ccbd38390e38da
--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=8, micro=9, releaselevel='final', serial=0)
INFO: os.name: posix
INFO: os.uname(): posix.uname_result(sysname='Darwin', nodename='ajstewart-mbp', release='21.4.0', version='Darwin Kernel Version 21.4.0: Fri Mar 18 00:46:32 PDT 2022; root:xnu-8020.101.4~15/RELEASE_ARM64_T6000', machine='arm64')
INFO: sys.getwindowsversion(): N/A
--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: None
--- check: installed_packages
WARNING: no installation among: ['tb-nightly', 'tensorboard', 'tensorflow-tensorboard']
WARNING: no installation among: ['tensorflow', 'tensorflow-gpu', 'tf-nightly', 'tf-nightly-2.0-preview', 'tf-nightly-gpu', 'tf-nightly-gpu-2.0-preview']
WARNING: no installation among: ['tensorflow-estimator', 'tensorflow-estimator-2.0-preview', 'tf-estimator-nightly']
--- check: tensorboard_python_version
Traceback (most recent call last):
File "diagnose_tensorboard.py", line 522, in main
suggestions.extend(check())
File "diagnose_tensorboard.py", line 75, in wrapper
result = fn()
File "diagnose_tensorboard.py", line 271, in tensorboard_python_version
from tensorboard import version
ModuleNotFoundError: No module named 'tensorboard'
--- check: tensorflow_python_version
Traceback (most recent call last):
File "diagnose_tensorboard.py", line 522, in main
suggestions.extend(check())
File "diagnose_tensorboard.py", line 75, in wrapper
result = fn()
File "diagnose_tensorboard.py", line 278, in tensorflow_python_version
import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'
--- check: tensorboard_data_server_version
INFO: no data server installed
--- check: tensorboard_binary_path
INFO: which tensorboard: None
--- check: addrinfos
socket.has_ipv6 = True
socket.AF_UNSPEC = <AddressFamily.AF_UNSPEC: 0>
socket.SOCK_STREAM = <SocketKind.SOCK_STREAM: 1>
socket.AI_ADDRCONFIG = <AddressInfo.AI_ADDRCONFIG: 1024>
socket.AI_PASSIVE = <AddressInfo.AI_PASSIVE: 1>
Loopback flags: <AddressInfo.AI_ADDRCONFIG: 1024>
Loopback infos: [(<AddressFamily.AF_INET6: 30>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('::1', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('127.0.0.1', 0))]
Wildcard flags: <AddressInfo.AI_PASSIVE: 1>
Wildcard infos: [(<AddressFamily.AF_INET6: 30>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('::', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('0.0.0.0', 0))]
--- check: readable_fqdn
INFO: socket.getfqdn(): 'ajstewart-mbp.dhcp.thefacebook.com'
--- check: stat_tensorboardinfo
INFO: directory: /var/folders/j1/68dlgpr91vlgs26vty2c8xk80000gn/T/.tensorboard-info
INFO: .tensorboard-info directory does not exist
--- check: source_trees_without_genfiles
INFO: tensorboard_roots (0): []; bad_roots (0): []
--- check: full_pip_freeze
INFO: pip freeze --all:
pip==20.2.3
setuptools==49.2.1
six @ file:///AppleInternal/BuildRoot/Library/Caches/com.apple.xbs/Sources/python3/python3-110/six-1.15.0-py2.py3-none-any.whl
wheel @ file:///AppleInternal/BuildRoot/Library/Caches/com.apple.xbs/Sources/python3/python3-110/wheel-0.36.2-py2.py3-none-any.whl
Steps to reproduce (required)
I'm trying to build tensorboard-data-server from source using the Spack package manager. The build steps basically involve:
$ cd tensorboard/data/server
$ cargo build --release
$ cd pip_package
$ python build.py --out-dir=... --server-binary=...It seems like build.py is hardcoded to use x86_64 even when on arm64? The following build log illustrates this issue, it builds for arm64 but then stuffs it into an x86_64 wheel: spack-build-out.txt. Is there a better approach to build a wheel than using pip_package/build.py?