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ci/official/requirements_updater/WORKSPACE
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ci/official/requirements_updater/README.md
``` To specify the version via a Bazel command argument, use the following: ``` --repo_env=TF_PYTHON_VERSION=3.11 ``` ## Requirements updater Requirements updater is a standalone tool, intended to simplify process of updating requirements for multiple minor versions of Python. It takes in a file with a set of dependencies, and produces a more detailed
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ci/official/README.md
1. Creating a PR and observing the presubmit test results 2. Running the CI scripts locally, as explained below 3. **Google employees only**: Google employees can use an internal-only tool called "MLCI" that makes testing more convenient: it can execute any full CI job against a pending change. Search for "MLCI" internally to find it. You may invoke a CI script of your choice by following these instructions:
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RELEASE.md
* Added support for `tflite_convert` command line tool in 2.0. * Post-training quantization tool supports quantizing weights shared by multiple operations. The models made with versions of this tool will use INT8 types for weights and will only be executable interpreters from this version onwards. * Post-training quantization tool supports fp16 weights and GPU delegate
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tensorflow/BUILD
"//tensorflow/core/grappler/clusters:virtual_cluster", "//tensorflow/core/grappler/costs:graph_memory", "//tensorflow/core/grappler/graph_analyzer:graph_analyzer_tool", "//tensorflow/core/grappler/optimizers:meta_optimizer", "//tensorflow/core/grappler:grappler_item", "//tensorflow/core/grappler:grappler_item_builder",
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