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tensorflow/api_template.__init__.py
# limitations under the License. # ============================================================================== """ Top-level module of TensorFlow. By convention, we refer to this module as `tf` instead of `tensorflow`, following the common practice of importing TensorFlow via the command `import tensorflow as tf`. The primary function of this module is to import all of the public TensorFlow
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
CONTRIBUTING.md
may exist in your changes. #### Running unit tests There are two ways to run TensorFlow unit tests. 1. Using tools and libraries installed directly on your system. Refer to the [CPU-only developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-cpu.Dockerfile) and
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
RELEASE.md
(neural) layers. * Add `tf.contrib.bayesflow.halton_sequence`. * Add `tf.contrib.data.make_saveable_from_iterator.` * Add `tf.contrib.data.shuffle_and_repeat`. * Add new custom transformation: `tf.contrib.data.scan()`. * `tf.contrib.distributions.bijectors`: * Add `tf.contrib.distributions.bijectors.MaskedAutoregressiveFlow`.
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tensorflow/c/eager/tape.h
private: TensorTape tensor_tape_; OpTape<BackwardFunction, TapeTensor> op_tape_; int64_t next_op_id_{0}; // Map from tensor id to number of remaining usages (i.e. how many entries in // the tape refer to it); to aid in tape garbage collection. std::unordered_map<int64_t, int64_t> tensor_usage_; // If false, all activations are deleted in the first call to ComputeGradient. // Else, only when this is destructed.
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ci/official/utilities/setup.sh
# specifically. Use your best judgment to keep the scripts in this directory # lean and easy to follow. When in doubt, remember that for CI scripts, "keep it # simple" is MUCH more important than "don't repeat yourself." # -e: abort script if one command fails # -u: error if undefined variable used # -x: log all commands # -o pipefail: entire command fails if pipe fails. watch out for yes | ...
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