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ci/official/utilities/code_check_changed_files.bats
# limitations under the License. # ============================================================================== setup_file() { bazel version # Start the bazel server # Fixes "fatal: detected dubious ownership in repository" for Docker. git config --system --add safe.directory '*' git config --system protocol.file.allow always # Note that you could generate a list of all the affected targets with e.g.:
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tensorflow/c/c_api_internal.h
// session has been run (this is detected in RecordMutation function). If the // string is empty, no mutation has occurred. Otherwise the string is a // description of the mutation suitable for returning to the user. // // Sessions are added to this map in TF_NewSession, and removed in // TF_DeleteSession. // TF_Graph may only / must be deleted when // sessions.size() == 0 && delete_requested == true //
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tensorflow/c/eager/c_api_unified_experimental.h
TF_Status* s); // Creates a new TF_AbstractFunction from the current tracing states in the // context. The provided `ctx` is consumed by this API call and deleted. // The returned TF_AbstractFunction must be deleted by the client, // TODO(aminim): clarify the contract on the state of the context after this // call. TF_AbstractFunction* TF_FinalizeFunction(TF_ExecutionContext* ctx,
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tensorflow/c/eager/dlpack.cc
namespace { // Managing context for the DLManagedTensor, will manage the lifetime of // DLManagedTensor. When calling DLManagedTensor::deleter, it will notify the // original framework of destruction, and this context will be deleted also. struct TfDlManagedTensorCtx { TensorReference reference; std::vector<int64_t> shape; std::vector<int64_t> strides; DLManagedTensor tensor;
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CONTRIBUTING.md
it may slow down the tests for not running in parallel and may cause the test to timeout but it could be useful when you need to execute a single test or more in general your filtered/selected tests have a very low execution time and the sharding [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
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ci/official/envs/rbe
# Enables RBE as long as RBE is available for the selected platform. # The "selected" platform is considered to be # TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX. "Available" means there is # an entry in tensorflow/.bazelrc for build:rbe_TFCI_BAZEL_TARGET... # ^^^^ # This env is only valid when RBE is available on the selected platform, since
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tensorflow/c/experimental/filesystem/filesystem_interface.h
TF_Status* status); /// Creates an object to write to a file with the specified `path`. /// /// If the file already exists, it is deleted and recreated. The `file` object /// must only be accessed by one thread at a time. /// /// Plugins: /// * Must set `status` to `TF_OK` if `file` was updated.
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RELEASE.md
endpoints for `tf.keras` stay unchanged, but are now backed by the `keras` PIP package. All Keras-related PRs and issues should now be directed to the GitHub repository. [keras-team/keras](http://github.com/keras-team/keras). * `tf.keras.utils.experimental.DatasetCreator` now takes an optional
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
// in the cache, and our current block is not block size, this likely means // we have inconsistent state within the cache. Note: it's possible some // incomplete reads may still go undetected. if (block->data.size() < block_size_) { Key fmax = std::make_pair(key.first, std::numeric_limits<size_t>::max()); auto fcmp = block_map_.upper_bound(fmax);
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tensorflow/c/eager/c_api.h
// things like the available devices, resource manager etc. // TFE_Context must outlive all tensor handles created using it. In other // words, TFE_DeleteContext() must be called after all tensor handles have // been deleted (with TFE_DeleteTensorHandle). // // TODO(ashankar): Merge with TF_Session? typedef struct TFE_Context TFE_Context; TF_CAPI_EXPORT extern TFE_Context* TFE_NewContext(
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