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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. # # Pass --config=pip to run the same suite of tests. If you want to run just one
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.github/workflows/release-branch-cherrypick.yml
# input the branch name and paste the cherry-pick commit and click Run. A PR # will be created. name: Release Branch Cherrypick on: workflow_dispatch: inputs: # We use this instead of the "run on branch" argument because GitHub looks # on that branch for a workflow.yml file, and we'd have to cherry-pick # this file into those branches. release_branch:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 14:49:29 GMT 2023 - 3.1K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.h
// scope for now. I'm just mentioning this here as that transition will mean // removal of the registration part from `Env` and adding it here instead: we // will need tables to hold for each scheme the function tables that implement // the needed functionality instead of the current `FileSystemRegistry` code in // `core/platform/env.cc`. class ModularFileSystem final : public FileSystem { public: ModularFileSystem(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 8.9K bytes - Viewed (0) -
ci/official/requirements_updater/README.md
# Hermetic Python Hermetic Python allows not to rely on system-installed Python, and 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.
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
to a banned CUDA dependency when '--define framework_shared_object=false' is set. This means that a CUDA target was probably included via an is_static condition, used when targeting platforms like Windows where we build statically instead of dynamically. Here's the output from bazel query: EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] } @test "All tensorflow.org/code links point to real files" {
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RELEASE.md
* Parameterless `tf.function`s are assumed to have an empty `input_signature` instead of an undefined one even if the `input_signature` is unspecified. * `tf.types.experimental.TraceType` now requires an additional `placeholder_value` method to be defined. * `tf.function` now traces with placeholder values generated by TraceType instead of the value itself.
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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) -
tensorflow/c/c_api_test.cc
} TF_Status* s_; private: TF_Graph* graph_; int counter_; }; // Helper macros for the TF_OperationGetAttr* tests. // TODO(ashankar): Use gmock matchers instead? // (https://github.com/google/googletest/blob/master/googlemock/docs/CookBook.md#writing-new-parameterized-matchers-quickly) // That will require setting up the tensorflow build with gmock.
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tensorflow/c/eager/c_api_experimental.h
// device_name. Takes ownership of the memory, and will call deleter to release // it after TF no longer needs it or in case of error. // // Custom devices must use TFE_NewCustomDeviceTensorHandle instead. TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandleFromDeviceMemory( TFE_Context* ctx, const char* device_name, TF_DataType, const int64_t* dims, int num_dims, void* data, size_t len,
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