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ci/official/requirements_updater/README.md
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. By default, the lowest supported version is used. To set a different version, use the `TF_PYTHON_VERSION` environment variable, e.g. ```
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tensorflow/c/experimental/grappler/grappler.h
// least `storage_size` bytes in length. `num_values` and `storage` can be // obtained from TF_GetNodesToPreserveSize // // Fails if storage_size is too small to hold the requested number of strings. TF_CAPI_EXPORT extern void TF_GetNodesToPreserveList( const TF_GrapplerItem* item, char** values, size_t* lengths, int num_values, void* storage, size_t storage_size, TF_Status* status);
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
ci/official/README.md
# See full examples below for more details on these. Some other modifiers are: # Ex. versions_upload -- for TF official release versions # Ex. nightly_upload -- for TF nightly official builds; changes version numbers # Ex. no_upload -- Disable all uploads, usually for temporary CI issues # Recommended: use a local+remote cache. # # Bazel will cache your builds in tensorflow/build_output/cache,
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tensorflow/c/eager/c_api.h
// Deletes `debug_info`. TF_CAPI_EXPORT extern void TFE_DeleteTensorDebugInfo( TFE_TensorDebugInfo* debug_info); // Returns the number of dimensions used to represent the tensor on its device. // The number of dimensions used to represent the tensor on device can be // different from the number returned by TFE_TensorHandleNumDims. // The return value was current at the time of TFE_TensorDebugInfo creation.
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tensorflow/c/eager/c_api_experimental.h
// executed in sequence. Assigning nodes to different executors allows executing // nodes in parallel. // in_flight_nodes_limit: when is_async is true, this value controls the // maximum number of in flight async nodes. Enqueuing of additional async ops // after the limit is reached blocks until some inflight nodes finishes. // The effect is bounding the memory held by inflight TensorHandles that are
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# Change the value of CACHEBUSTER when upgrading the toolchain, or when testing # different compilation methods. E.g. for a PR to test a new CUDA version, set # the CACHEBUSTER to the PR number. build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3"
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tensorflow/c/c_api.cc
InvalidArgument("Node ", node->name(), " was not found in the graph"); return -1; } tensorflow::shape_inference::ShapeHandle shape = ic->output(output.index); // Unknown rank means the number of dimensions is -1. if (!ic->RankKnown(shape)) { return -1; } return ic->Rank(shape); } void TF_GraphGetTensorShape(TF_Graph* graph, TF_Output output, int64_t* dims,
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
if (scheme == nullptr) return errors::InvalidArgument( "Attempted to register filesystem with `nullptr` URI scheme"); return OkStatus(); } // Checks if the plugin and core ABI numbers match. // // If the numbers don't match, plugin cannot be loaded. static Status CheckABI(int pluginABI, int coreABI, StringPiece where) { if (pluginABI != coreABI) return errors::FailedPrecondition(
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.github/workflows/sigbuild-docker-presubmit.yml
- `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.12` - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.11` - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.10` - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.9`
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ci/official/libtensorflow.sh
source "${BASH_SOURCE%/*}/utilities/setup.sh" # Record GPU count and CUDA version status if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then tfrun nvidia-smi fi # Update the version numbers for Nightly only if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then tfrun python3 tensorflow/tools/ci_build/update_version.py --nightly fi
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