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ci/official/requirements_updater/README.md
``` To specify the file via a Bazel command argument, use the following: ``` --repo_env=REQUIREMENTS_FILE_NAME=my_requirements.in ``` ### How to run the updater ``` bash updater.sh ``` ## How to add a new Python version Note: Updating the [rules-python](https://github.com/bazelbuild/rules_python/releases) version may be required before going through the steps below. This is due to the new Python
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
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ci/official/README.md
- Different Python versions - Linux, MacOS, and Windows machines (these pool definitions are internal) - x86 and arm64 - CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs ## How to Test Your Changes to TensorFlow You may check how your changes will affect TensorFlow by: 1. Creating a PR and observing the presubmit test results 2. Running the CI scripts locally, as explained below
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tensorflow/c/eager/c_api_unified_experimental.h
// APIs specific to Eager modes // ----------------------------------------------------------------------------- // Temporary APIs till we figure out how to create scalar valued Eager // tensors and how to get value out of eager abstract tensors. TF_AbstractTensor* TF_CreateAbstractTensorFromEagerTensor(TFE_TensorHandle* t, TF_Status* s);
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RELEASE.md
`tf.Variable`s. * Add NUMA-aware MapAndBatch dataset. * Deprecate `tf.data.Dataset.make_one_shot_iterator()` in V1, removed it from V2, and added tf.compat.v1.data.make_one_shot_iterator()`. * Deprecate `tf.data.Dataset.make_initializable_iterator()` in V1, removed it from V2, and added `tf.compat.v1.data.make_initializable_iterator()`.
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SECURITY.md
how we can reproduce your findings. For memory corruption triggerable in TensorFlow models, please demonstrate an exploit against one of Alphabet's models in <https://tfhub.dev/> - An explanation of who can exploit this vulnerability, and what they gain when doing so. Write an attack scenario that demonstrates how your issue
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tensorflow/BUILD
visibility = ["//visibility:public"], ) # Sometimes Bazel reports darwin_x86_64 as "darwin" and sometimes as # "darwin_x86_64". The former shows up when building on a Mac x86_64 host for a Mac x86_64 target. # The latter shows up when cross-compiling for Mac x86_64 from a Mac ARM machine and in internal # Google builds. config_setting( name = "macos_x86_64_default", constraint_values = if_google(
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tensorflow/c/eager/c_api_cluster_test.cc
TFE_Executor* executor = TFE_ContextGetExecutorForThread(ctx); TFE_ExecutorWaitForAllPendingNodes(executor, status); ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); // TODO(b/136478427): Figure out how to correctly shut the server down. worker_server.release(); // Update the server def with a new set of names (worker instead of // localhost). tensorflow::ServerDef updated_server_def = GetServerDef("worker", 2);
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ci/official/wheel_test/test_import_api_packages.py
The `_api/v2/api_packages.txt` file is created during the process of generating TensorFlow API v2 init files and is stored in the wheel file after the build. See README.md file for "how to run" instruction. """ import logging import unittest import pkg_resources logging.basicConfig(level=logging.INFO) class ImportApiPackagesTest(unittest.TestCase):
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 13 15:52:07 GMT 2023 - 3.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test.cc
ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status); TFE_DeleteExecutor(executor); TFE_DeleteContext(ctx); TF_DeleteStatus(status); // TODO(b/136478427): Figure out how to correctly shut the server down. worker_server.release(); } TEST(CAPI, RemoteExecute) { TestRemoteExecute(false); } TEST(CAPI, RemoteExecuteAsync) { TestRemoteExecute(true); }
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