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tensorflow/c/experimental/grappler/grappler.cc
limitations under the License. ==============================================================================*/ // This file extends/implements core graph optimizer base classes in terms of // the C API defined in grappler.h. A class "CSomething" represents a // "Something" that can be manipulated via calls in the C interface and a C // struct called "TP_Something".
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ci/official/README.md
# Official CI Directory Maintainer: TensorFlow and TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra) ******************************************************************************** ## TensorFlow's Official CI and Build/Test Scripts TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
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SECURITY.md
covering security practices for the entirety of the TensorFlow ecosystem. ## TensorFlow models are programs TensorFlow [**models**](https://developers.google.com/machine-learning/glossary/#model) (to use a term commonly used by machine learning practitioners) are expressed as programs that TensorFlow executes. TensorFlow programs are encoded as computation [**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// Finds all entries matching the regular expression given by `glob`. /// /// Pattern must match the entire entry name, not just a substring. /// /// pattern: { term } /// term: /// '*': matches any sequence of non-'/' characters /// '?': matches a single non-'/' character /// '[' [ '^' ] { match-list } ']': /// matches any single character (not) on the list
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RELEASE.md
* Dynamic shapes are supported for generators by calling the Model on the first batch we "peek" from the generator. This used to happen implicitly in `Model._standardize_user_data`. Long-term, a solution where the `DataAdapter` doesn't need to call the Model is probably preferable. * The SavedModel format now supports all Keras built-in layers (including
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ci/devinfra/README.md
> directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra) ******************************************************************************** A directory for build and CI related scripts and jobs managed by the TensorFlow
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ci/official/containers/linux_arm64/devel.bashrc
# Do not print anything if this is not being used interactively [ -z "$PS1" ] && return # Set up attractive prompt export PS1="\[\e[31m\]tf-docker\[\e[m\] \[\e[33m\]\w\[\e[m\] > " export TERM=xterm-256color alias grep="grep --color=auto" alias ls="ls --color=auto" # Fix nvidia-docker
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.github/workflows/trusted_partners.js
return domain; }; /** For trusted parters like Intel, we want to auto-run tests This allows us to reduce the delay to external partners Add Labels - kokoro:force-run The PR is also assigned to specific teams to fast track review Additional reviewers can be added manually based on PR contents @param {!object} github enables querying for PR and also create issue using rest endpoint
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