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Results 1 - 3 of 3 for tf_xla_enable_xla_devices (0.31 sec)
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tensorflow/compiler/jit/flags.cc
"Switch a device into 'on-demand' mode, where instead of " "autoclustering ops are compiled one by one just-in-time."), Flag("tf_xla_enable_xla_devices", &device_flags->tf_xla_enable_xla_devices, "Generate XLA_* devices, where placing a computation on such a " "device" "forces compilation by XLA. Deprecated."),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 18:52:57 UTC 2024 - 24.5K bytes - Viewed (0) -
tensorflow/compiler/jit/flags.h
// feature is battle-tested, we will switch this to be a session option. bool tf_xla_compile_on_demand; // Enables "XLA" devices if this flag is set. bool tf_xla_enable_xla_devices; }; // Flags common to the _Xla* ops and their kernels. struct XlaOpsCommonFlags { // If true, _XlaCompile always refuses to compile the cluster, which means the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 18:52:57 UTC 2024 - 14.5K bytes - Viewed (0) -
RELEASE.md
not well defined for complex types. * XLA:CPU and XLA:GPU devices are no longer registered by default. Use `TF_XLA_FLAGS=--tf_xla_enable_xla_devices` if you really need them, but this flag will eventually be removed in subsequent releases. * `tf.keras`: * The `steps_per_execution` argument in `model.compile()` is no longer
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)