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ci/official/requirements_updater/updater.sh
# ============================================================================== # script to run pip-compile for each requirement. # if there is a change in requirements.in then all lock files will be updated # accordingly # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" mv BUILD.bazel BUILD SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12")
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --distinct_host_configuration=false # Disable clang extension that rejects type definitions within offsetof. # This was added in clang-16 by https://reviews.llvm.org/D133574. # Can be removed once upb is updated, since a type definition is used within # offset of in the current version of ubp. # See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183. build --copt=-Wno-gnu-offsetof-extensions
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ci/official/requirements_updater/README.md
`release_updater.sh` 5) Run the `updater.sh` shell script. \ If the base requirements file hasn't yet been updated to account for the new Python version, which will require different versions for at least some dependencies, it will need to be updated now, for the script to run successfully. 6) A new `requirements_lock_3_11.txt` file should appear under the root of the
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tensorflow/c/eager/immediate_execution_tensor_handle.cc
} Status ImmediateExecutionTensorHandle::SummarizeValue( std::string& summary) const { Status status; AbstractTensorPtr resolved( // TODO(allenl): Resolve should be const, and the caches that get updated // marked mutable. const_cast<ImmediateExecutionTensorHandle*>(this)->Resolve(&status)); if (!status.ok()) { return status; } summary = resolved->SummarizeValue(); return absl::OkStatus();
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tensorflow/api_template_v1.__init__.py
# API IMPORTS PLACEHOLDER # WRAPPER_PLACEHOLDER if "dev" in __version__: # pylint: disable=undefined-variable _logging.warning(""" TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0. Please upgrade your code to TensorFlow 2.0: * https://www.tensorflow.org/guide/migrate Or install the latest stable TensorFlow 1.X release: * `pip install -U "tensorflow==1.*"`
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// proto. Servers can be added to and removed from the list of remote workers // in the context. A New set of servers identified by the ServerDef must be up // when the context is updated. // // This API is for experimental usage and may be subject to change. TF_CAPI_EXPORT extern void TFE_ContextUpdateServerDef(TFE_Context* ctx, int keep_alive_secs,
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ci/official/requirements_updater/release_updater.sh
# ============================================================================== # 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") for VERSION in "${SUPPORTED_VERSIONS[@]}" do
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RELEASE.md
instead of individual arguments. Usages should be updated to `tf.data.experimental.service.DispatchServer(dispatcher_config)`. * `tf.data.experimental.service.WorkerServer` now takes a config tuple instead of individual arguments. Usages should be updated to `tf.data.experimental.service.WorkerServer(worker_config)`. * `tf.distribute`:
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tensorflow/c/c_api_experimental.cc
if (!status->status.ok()) return; input_tensors_vector[i] = &input_tensor; } } // Create an inference context with dummy values, which will be updated later. InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def, std::vector<ShapeHandle>(num_inputs), input_tensors_vector, {},
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.bazelrc
build:rbe_linux_cpu --copt=-Wno-error=unused-command-line-argument # This was added in clang-16 by https://reviews.llvm.org/D133574. # Can be removed once upb is updated, since a type definition is used within # offset of in the current version of ubp. # See https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183.
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