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Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
#37
opened Jul 24, 2019 by
GrahamboJangles
TypeError: 'float' object cannot be interpreted as an integer
#34
opened May 22, 2019 by
GrahamboJangles
What kind of HW is needed to run the "best performing model"?
#27
opened Dec 4, 2018 by
KDuzinkiewicz
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