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ci/official/requirements_updater/README.md
3) In the `BUILD.bazel` file, add a load statement for the new version, e.g. ``` load("@python//3.11:defs.bzl", compile_pip_requirements_3_11 = "compile_pip_requirements") ``` Add a new entry for the loaded `compile_pip_requirements`, e.g. ``` compile_pip_requirements_3_11( name = "requirements_3_11", extra_args = ["--allow-unsafe"],
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ci/official/wheel_test/update_requirements.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. # -e: abort script if one command fails # -u: error if undefined variable used
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tensorflow/c/eager/c_api_experimental.h
// Sync pending nodes in local executors (including the context default executor // and thread executors) and streaming requests to remote executors, and get the // combined status. TF_CAPI_EXPORT extern void TFE_ContextAsyncWait(TFE_Context* ctx, TF_Status* status); // This function will block till the operation that produces `h` has
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CONTRIBUTING.md
debugging information with `--config=dbg`, as issues occur on Linux if there is too much debug info (see [this GitHub issue](https://github.com/tensorflow/tensorflow/issues/48919) for context). If you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash
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ci/official/utilities/setup_macos.sh
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RELEASE.md
* Argument `jit_compile` in `Model.compile()` now applies to `Model.evaluate()` and `Model.predict()`. Setting `jit_compile=True` in `compile()` compiles the model's training, evaluation, and inference steps to [XLA](https://www.tensorflow.org/xla). Note that `jit_compile=True` may not necessarily work for all models.
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ci/official/envs/enable_pycpp_build
# limitations under the License. # ============================================================================== # # Changes the behavior in pycpp.sh from "run all tests" to "verify that all # tests can compile." Used in some CI jobs (macOS and Linux Arm64) where test # execution is too expensive. TFCI_PYCPP_SWAP_TO_BUILD_ENABLE=1
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ci/official/requirements_updater/release_updater.sh
# See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== # script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. mv BUILD.bazel BUILD SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12")
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tensorflow/c/eager/gradients.h
// op executed under the tape. A separate map (`tensorflow::eager::OpTape`) // maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`, // inputs and outputs and the gradient function These data structures combined // allow us to trace the data dependencies between operations and hence compute // gradients. // // `ZerosLike` is not expected to be called and returns a nullptr. The creation
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// /// Note: blocks are added to lra_list_ only after they have successfully been /// fetched from the underlying block store. std::list<Key> lra_list_ ABSL_GUARDED_BY(mu_); /// The combined number of bytes in all of the cached blocks. size_t cache_size_ ABSL_GUARDED_BY(mu_) = 0; // A filename->file_signature map. std::map<std::string, int64_t> file_signature_map_ ABSL_GUARDED_BY(mu_); };
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