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tensorflow/c/eager/tfe_monitoring_reader_internal.h
struct TFE_MonitoringCounterReader { explicit TFE_MonitoringCounterReader(const char* name) { counter = std::make_unique< ::tensorflow::monitoring::testing::CellReader<int64_t>>(name); } template <typename... LabelType> int64_t Read(const LabelType&... labels); std::unique_ptr<::tensorflow::monitoring::testing::CellReader<int64_t>> counter; };
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 20 03:14:47 GMT 2023 - 1.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental_reader.cc
==============================================================================*/ #include "tensorflow/c/eager/c_api_experimental_reader.h" #include "tensorflow/c/eager/tfe_monitoring_reader_internal.h" template <typename... LabelType> int64_t TFE_MonitoringCounterReader::Read(const LabelType&... labels) { return counter->Read(labels...); } TFE_MonitoringCounterReader* TFE_MonitoringNewCounterReader(const char* name) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 20 03:14:47 GMT 2023 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.h
// Helper to un-pack `num_replicas` TFE_TensorHandles from one parallel handle. template <std::size_t num_replicas> void ExtractPerDeviceValues( TFE_Context* context, TFE_TensorHandle* input, std::array<TensorHandlePtr, num_replicas>* components, TF_Status* status); // Helper to pack `num_replicas` TFE_TensorHandles into one parallel handle. template <std::size_t num_replicas> TensorHandlePtr CreatePerDeviceValues(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 09 01:12:35 GMT 2021 - 6.9K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-converter-issue.md
--- name: TensorFlow Lite Converter Issue about: Use this template for reporting issues during model conversion to TFLite labels: 'TFLiteConverter' --- ### 1. System information - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installation (pip package or built from source): - TensorFlow library (version, if pip package or github SHA, if built from source): ### 2. Code
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.github/bot_config.yml
- tensorflow/security # words checklist segfault_memory: - segfault - memory leaks # assignees filesystem_security_assignee: - mihaimaruseac # Cuda Comment cuda_comment: > From the template it looks like you are installing **TensorFlow** (TF) prebuilt binaries: * For TF-GPU - See point 1 * For TF-CPU - See point 2
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
tensorflow/BUILD
2, ], compat_init_templates = [ "compat_template_v1.__init__.py", "compat_template.__init__.py", ], output_dir = "_api/v1/", output_files = TENSORFLOW_API_INIT_FILES_V1, output_package = "tensorflow._api.v1", packages_to_ignore = ["tensorflow.python.framework.test_ops"], root_file_name = "v1.py", root_init_template = "api_template_v1.__init__.py", )
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
namespace tf_gcs_filesystem { /// \brief An LRU cache of string keys and arbitrary values, with configurable /// max item age (in seconds) and max entries. /// /// This class is thread safe. template <typename T> class ExpiringLRUCache { public: /// A `max_age` of 0 means that nothing is cached. A `max_entries` of 0 means /// that there is no limit on the number of entries in the cache (however, if
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 6.3K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-op-request.md
--- name: TensorFlow Lite Op Request about: Use this template for reporting Lite ops you are using or missing labels: 'comp:lite' --- **System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installed from (source or binary): - TensorFlow version (or github SHA if from source): **Provide the text output from tflite_convert** ``` # Copy and paste here ```
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tensorflow/c/eager/c_api_test_util.h
TFE_TensorHandle* TestTensorHandleWithDimsInt(TFE_Context* ctx, int data[], int64_t dims[], int num_dims); // Return a tensor handle with given type, values and dimensions. template <class T, TF_DataType datatype> TFE_TensorHandle* TestTensorHandleWithDims(TFE_Context* ctx, const T* data, const int64_t* dims, int num_dims) { TF_Status* status = TF_NewStatus();
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
TF_Status* status) const; // Construct a parallel tensor consisting of the scalar values from `values`. template <typename DataType> std::unique_ptr<ParallelTensor> ScalarsFromSequence( absl::Span<const DataType> values, TFE_Context* context, TF_Status* status) const;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0)