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tensorflow/c/c_api.cc
"Creating while loops is not supported on mobile. File a bug at " "https://github.com/tensorflow/tensorflow/issues if this feature is " "important to you"); #else // If it appears the caller created or modified `params`, don't free resources if (!ValidateConstWhileParams(*params, status)) return; TF_FinishWhileHelper(params, status, outputs); FreeWhileResources(params);
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ci/official/utilities/code_check_changed_files.bats
# To get the as-merged branch during the CI tests git diff --diff-filter ACMRT --name-only pull_branch^ pull_branch > $BATS_FILE_TMPDIR/changed_files else # If the branch is not present, then diff against origin/master git diff --diff-filter ACMRT --name-only origin/master > $BATS_FILE_TMPDIR/changed_files fi }
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tensorflow/c/checkpoint_reader.h
TF_Status* out_status) const; private: // Uses "v2_reader_" to build "var name -> shape" and "var name -> data type" // maps; both owned by caller. // REQUIRES: "v2_reader_ != nullptr && v2_reader_.status().ok()". std::pair<std::unique_ptr<TensorSliceReader::VarToShapeMap>, std::unique_ptr<TensorSliceReader::VarToDataTypeMap> > BuildV2VarMaps();
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 3.1K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.cc
string key(v2_reader_->key()); (*var_to_shape_map)[key] = TensorShape(entry.shape()); (*var_to_data_type_map)[key] = DataType(entry.dtype()); } // The returned pointers are owned by the caller. return std::make_pair(std::move(var_to_shape_map), std::move(var_to_data_type_map)); } } // namespace checkpoint
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Aug 25 21:29:12 GMT 2023 - 5.5K bytes - Viewed (0) -
tensorflow/c/c_api_internal.h
int last_num_graph_nodes; // If true, TF_SessionRun and similar methods will call // ExtendSessionGraphHelper before running the graph (this is the default // public behavior). Can be set to false if the caller needs to call // ExtendSessionGraphHelper manually. std::atomic<bool> extend_before_run; }; struct TF_ImportGraphDefOptions { tensorflow::ImportGraphDefOptions opts;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
const std::vector<int64_t>& unneeded_gradients, gtl::ArraySlice<Gradient*> output_gradients, absl::Span<Gradient*> result) const = 0; // Builds a tensor filled with ones with the same shape and dtype as `t`. virtual Status BuildOnesLike(const TapeTensor& t, Gradient** result) const = 0; // Looks up the ID of a Gradient.
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tensorflow/c/eager/c_api_experimental.h
TFE_MonitoringCounterCell* cell); // APIs for Counter without label. typedef struct TFE_MonitoringCounter0 TFE_MonitoringCounter0; // Returns a new Counter metric object. The caller should manage lifetime of // the object. Using duplicate metric name will crash the program with fatal // error. TF_CAPI_EXPORT extern TFE_MonitoringCounter0* TFE_MonitoringNewCounter0(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
// scheduled on that same threadpool, causing a deadlock in cases where the // caller of event_mgr->ThenExecute() blocks on the completion of the callback // (as in the case of ConstOp kernel creation on GPU, which involves copying a // CPU tensor to GPU). // Setting a larger thread pool does not help with the Swift caller, as we use // a different TFE context for each thread of execution (for running graph
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.bazelrc
# https://github.com/bazelbuild/bazel/issues/3360 build:linux --experimental_guard_against_concurrent_changes # Configure short or long logs build:short_logs --output_filter=DONT_MATCH_ANYTHING build:verbose_logs --output_filter= # Instruction set optimizations # TODO(gunan): Create a feature in toolchains for avx/avx2 to # avoid having to define linux/win separately. build:avx_linux --copt=-mavx
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ci/official/README.md
TensorFlow's official CI jobs run the scripts in this folder. Our internal CI system, Kokoro, schedules our CI jobs by combining a build script with a file from the `envs` directory that is filled with configuration options: - Nightly jobs (Run nightly on the `nightly` branch) - Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh` - Continuous jobs (Run on every GitHub commit) - Uses `pycpp.sh`
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