- Sort Score
- Result 10 results
- Languages All
Results 1 - 2 of 2 for enable_control_flow_v2 (0.36 sec)
-
tensorflow/compiler/mlir/lite/tf_to_tfl_flatbuffer.cc
"support Control Flow V1 ops. Consider using Control Flow V2 ops " "instead. See https://www.tensorflow.org/api_docs/python/tf/compat/" "v1/enable_control_flow_v2."), tflite::metrics::ConverterErrorData::ERROR_UNSUPPORTED_CONTROL_FLOW_V1); return mlir::failure(); } return mlir::success(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 23.8K bytes - Viewed (0) -
RELEASE.md
code works without modifications against an installation of 1.15 or 2.0. * EagerTensor now supports numpy buffer interface for tensors. * Add toggles `tf.enable_control_flow_v2()` and `tf.disable_control_flow_v2()` for enabling/disabling v2 control flow. * Enable v2 control flow as part of `tf.enable_v2_behavior()` and `TF2_BEHAVIOR=1`.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)