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ci/official/requirements_updater/README.md
system-installed Python packages. \ Instead, an independent Python toolchain is registered, ensuring the right dependencies are always used. \ See https://github.com/bazelbuild/rules_python/ for more details. ### Specifying the Python version Note: Only a number of minor Python versions are supported at any given time. By default, the lowest supported version is used.
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tensorflow/c/experimental/filesystem/BUILD
], deps = [ ":modular_filesystem", "//tensorflow/core:framework_internal", "//tensorflow/core/lib/io:path", "//tensorflow/core/platform:env", "//tensorflow/core/platform:errors", "//tensorflow/core/platform:stacktrace_handler", "//tensorflow/core/platform:test", ],
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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: ```bash cd tensorflow-git-dir
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CONTRIBUTING.md
usually indicates insufficient test coverage. * Keep API compatibility in mind when you change code in core TensorFlow, e.g., code in [tensorflow/core](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core) and [tensorflow/python](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python). TensorFlow has passed version 1.0 and hence cannot make
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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:tfe_context_internal", "//tensorflow/core:framework", "//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/common_runtime/eager:context", ], ) cc_library( name = "parallel_device_testlib", testonly = 1,
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tensorflow/c/experimental/ops/BUILD
"//tensorflow/c/eager:abstract_tensor_handle", "//tensorflow/c/eager:c_api_unified_internal", "//tensorflow/c/eager:tracing_utils", "//tensorflow/core:framework", "//tensorflow/core/platform:errors", "@com_google_absl//absl/types:span", ], ) cc_library( name = "io_ops", srcs = [ "io_ops.cc", ], hdrs = [ "io_ops.h",
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CODE_OF_CONDUCT.md
## Conflict Resolution Conflicts in an open source project can take many forms, from someone having a bad day and using harsh and hurtful language in the issue queue, to more serious instances such as sexist/racist statements or threats of violence, and everything in between. If the behavior is threatening or harassing, or for other reasons requires immediate escalation, please see below.
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# Prevent double-compilation of some TF code, ref. b/183279666 (internal) # > TF's gen_api_init_files has a genrule to run the core TensorFlow code # > on the host machine. If we don't have --distinct_host_configuration=false, # > the core TensorFlow code will be built once for the host and once for the # > target platform.
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.gitignore
/tensorflow/tools/git/gen /pip_test /_python_build *.pyc __pycache__ *.swp .vscode/ cmake_build/ tensorflow/contrib/cmake/_build/ .idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp /tensorflow/lite/gen/** /tensorflow/lite/tools/make/downloads/** /tensorflow/lite/tools/make/gen/** /api_init_files_list.txt
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RELEASE.md
`distributed_save` are recommended to set it to `True`. * `tf.tpu.experimental.embedding.TPUEmbeddingV2` * Add `compute_sparse_core_stats` for sparse core users to profile the data with this API to get the `max_ids` and `max_unique_ids`. These numbers will be needed to configure the sparse core embedding mid level api. * Remove the `preprocess_features` method since that's no longer needed.
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