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Raspberry Pi 64 OS + Jetson Nano configure.py #2420

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Raspberry Pi 64 OS + Jetson Nano configure.py #2420

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fe59bd9
Modified for RPi 64 OS + Jetson Nano
Qengineering Mar 20, 2021
4f2c0c8
Python3 instead of Python
Qengineering Mar 20, 2021
36a696d
Update configure.py
Qengineering Mar 20, 2021
fa73c45
Update configure.py
Qengineering Mar 20, 2021
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Modified for RPi 64 OS + Jetson Nano 
Add configuration for Raspberry Pi 64-bit OS and Jetson Nano.
The Nano does not know TF_NEED_CUDA, nor TF_CUDA_VERSION (= JETSON_CUDA).
Simplest solution is an extra branch.
  • Loading branch information
@Qengineering
Qengineering authored Mar 20, 2021
commit fe59bd93af2e45b9d673e00c1fb41151e9bd298c
25 changes: 22 additions & 3 deletions configure.py
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Original file line number Diff line number Diff line change
Expand Up @@ -51,6 +51,11 @@ def is_linux():
def is_raspi_arm():
return os.uname()[4] == "armv7l"

def is_aarch64():
return os.uname()[4] == "aarch64"

def is_nano():
return os.uname()[1] == "nano"

def get_tf_header_dir():
import tensorflow as tf
Expand All @@ -68,7 +73,7 @@ def get_tf_shared_lib_dir():
if is_windows():
tf_shared_lib_dir = tf.sysconfig.get_compile_flags()[0][2:-7] + "python"
return tf_shared_lib_dir.replace("\\", "/")
elif is_raspi_arm():
elif is_raspi_arm() or is_aarch64():
return tf.sysconfig.get_compile_flags()[0][2:-7] + "python"
else:
return tf.sysconfig.get_link_flags()[0][2:]
Expand All @@ -85,7 +90,7 @@ def get_shared_lib_name():
elif is_windows():
# Windows
return "_pywrap_tensorflow_internal.lib"
elif is_raspi_arm():
elif is_raspi_arm() or is_aarch64():
# The below command for linux would return an empty list
return "_pywrap_tensorflow_internal.so"
else:
Expand Down Expand Up @@ -120,14 +125,28 @@ def create_build_configuration():
write("build:windows --cxxopt=/std:c++14")
write("build:windows --host_cxxopt=/std:c++14")

if is_macos() or is_linux():
if is_raspi_arm() or is_aarch64():
write("build --cxxopt=-std=c++14")
write("build --host_cxxopt=-std=c++14")
elif is_macos() or is_linux():
write("build --copt=-mavx")
write("build --cxxopt=-std=c++14")
write("build --host_cxxopt=-std=c++14")

if os.getenv("TF_NEED_CUDA", "0") == "1":
print("> Building GPU & CPU ops")
configure_cuda()
elif is_nano():
print("> Building GPU & CPU ops")
write_action_env("TF_NEED_CUDA", "1")
write_action_env("CUDA_TOOLKIT_PATH", "/usr/local/cuda")
write_action_env("CUDNN_INSTALL_PATH", "/usr/lib/aarch64-linux-gnu"),
write_action_env("TF_CUDA_VERSION", "10")
write_action_env("TF_CUDNN_VERSION", "8")
write("test --config=cuda")
write("build --config=cuda")
write("build:cuda --define=using_cuda=true --define=using_cuda_nvcc=true")
write("build:cuda --crosstool_top=@local_config_cuda//crosstool:toolchain")
else:
print("> Building only CPU ops")

Expand Down