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tensorflow/c/eager/c_api_experimental.h
// devices, so executing tf.functions which contain operations placed on the // custom devices will fail. // // `device_name` must not name an existing physical or custom device. It must // follow the format: // // /job:<name>/replica:<replica>/task:<task>/device:<type>:<device_num> // // If the device is successfully registered, `status` is set to TF_OK. Otherwise
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README.md
[Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).** The TensorFlow project strives to abide by generally accepted best practices in open-source software development. ## Patching guidelines Follow these steps to patch a specific version of TensorFlow, for example, to apply fixes to bugs or security vulnerabilities: * Clone the TensorFlow repo and switch to the corresponding branch for your
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// the 3 types of files. In all other cases, there is no need to modify the /// address of the opaque data pointer, hence the wrapper pointer is marked /// `const`. /// /// For consistency, the arguments on all these functions follow the same /// pattern: first we have the opaque pointer argument ("this" above), then the /// input arguments, then the in-out arguments (if any) and we finish the
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ci/official/requirements_updater/README.md
name = "requirements_3_11", extra_args = ["--allow-unsafe"], requirements_in = "requirements.in", requirements_txt = "requirements_lock_3_11.txt", ) ``` ``` compile_pip_requirements_3_11( name = "requirements_3_11_release", extra_args = [ "--allow-unsafe", "-P keras-nightly", "-P tb-nightly",
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.github/workflows/update-nightly.yml
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ on: workflow_dispatch: # Allow manual triggers schedule: - cron: 0 4 * * * # 4am UTC is 9pm PDT and 8pm PST name: Set nightly branch to master HEAD permissions: {} jobs: master-to-nightly:
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tensorflow/c/c_api.cc
// -------------------------------------------------------------------------- TF_SessionOptions* TF_NewSessionOptions() { TF_SessionOptions* out = new TF_SessionOptions; // Disable optimizations for static graph to allow calls to Session::Extend. out->options.config.mutable_experimental() ->set_disable_optimize_for_static_graph(true); return out; } void TF_DeleteSessionOptions(TF_SessionOptions* opt) { delete opt; }
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
make install DESTDIR=${TARGET} cd .. # Symlinks in the binary distribution are set up for installation in /usr, we # need to fix up all the links to stay within /${TARGET}. /fixlinks.sh "/${TARGET}" # Patch to allow non-glibc 2.12 compatible builds to work. sed -i '54i#define TCP_USER_TIMEOUT 18' "/${TARGET}/usr/include/netinet/tcp.h" # Download specific version of libstdc++ shared library based on the value of # the `VERSION` parameter
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tensorflow/c/experimental/grappler/grappler.h
#include "tensorflow/c/c_api_macros.h" #include "tensorflow/c/tf_status.h" // -------------------------------------------------------------------------- // C API for Graph. The API is under active development and eventually // should allow registering a plugin graph optimizer with TensorFlow. // // Conventions: // * Struct prefix indicates whether struct fields should be filled by the // plugin or core implementation:
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RELEASE.md
[FTRL paper](https://research.google.com/pubs/archive/41159.pdf). * `Optimizer.__init__` now accepts a `gradient_aggregator` to allow for customization of how gradients are aggregated across devices, as well as `gradients_transformers` to allow for custom gradient transformations (such as gradient clipping). * Improvements to Keras preprocessing layers:
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ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# Source files generated by annotation processors appear directly # under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. # # Bazel manages annotation generated source as follows: First, it # calls javac with options that create generated files under a # bazel-out directory. Next, it archives the generated source files # into a srcjar directly under the root. There doesn't appear to be a
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