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authorGravatar Todd Wang <toddw@google.com>2018-09-28 08:56:06 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2018-09-28 09:00:05 -0700
commit35459cbaa0f654393b242c5357f6939b05267ab8 (patch)
tree4a17adf8d8826a1a54e8dc32e4aca21ae0840fb3 /configure.py
parent9ef0ec921cc6de670fd2fdba1be49e0eca2a1043 (diff)
Build TF with XLA support by default.
Building binaries with XLA support does not enable it by default, it simply makes it accessible via default binary builds. PiperOrigin-RevId: 214942824
Diffstat (limited to 'configure.py')
-rw-r--r--configure.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/configure.py b/configure.py
index 55fce8b93b..9899ae10e8 100644
--- a/configure.py
+++ b/configure.py
@@ -1504,6 +1504,7 @@ def main():
if is_macos():
environ_cp['TF_NEED_JEMALLOC'] = '0'
environ_cp['TF_NEED_TENSORRT'] = '0'
+ environ_cp['TF_ENABLE_XLA'] = '0'
# The numpy package on ppc64le uses OpenBLAS which has multi-threading
# issues that lead to incorrect answers. Set OMP_NUM_THREADS=1 at
@@ -1515,7 +1516,7 @@ def main():
set_build_var(environ_cp, 'TF_NEED_JEMALLOC', 'jemalloc as malloc',
'with_jemalloc', True)
set_build_var(environ_cp, 'TF_ENABLE_XLA', 'XLA JIT', 'with_xla_support',
- False, 'xla')
+ True, 'xla')
set_action_env_var(environ_cp, 'TF_NEED_OPENCL_SYCL', 'OpenCL SYCL', False)
@@ -1624,4 +1625,3 @@ def main():
if __name__ == '__main__':
main()
-