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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
} lru_list_.erase(it->second.lru_iterator); cache_.erase(it); return true; } /// The maximum age of entries in the cache, in seconds. A value of 0 means /// that no entry is ever placed in the cache. const uint64_t max_age_; /// The maximum number of entries in the cache. A value of 0 means there is no /// limit on entry count. const size_t max_entries_;
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 6.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// // TFE_OpGetDevice(op) records the original placement of the operation. It may // be an empty string if no device was explicitly requested, but will // otherwise be the name of this custom device. Ops are placed onto a custom // device if any of their inputs are on that custom device, but custom devices // are free to set a bad status in order to require explicit placement. void (*execute)(const TFE_Op* op, int* num_outputs,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
namespace tensorflow { namespace parallel_device { // Allocate a parallel device named `device_name` which forwards operations to // `underlying_devices`, maintaining "parallel tensors" with components placed // on each underlying device. // // For example if `device_name` is // "/job:localhost/replica:0/task:0/device:CUSTOM:0" // and `underlying_devices` is // {"/job:localhost/replica:0/task:0/device:GPU:0",
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jun 04 21:49:16 GMT 2020 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
namespace parallel_device { using TensorHandlePtr = tensorflow::Safe_TFE_TensorHandlePtr; class ParallelTensor; class DeviceThread; // Forwards operations to `devices`, maintaining ParallelTensor with components // placed on each underlying device. class ParallelDevice { public: // Eager async execution is only supported when remote eager is not in use // (b/157523095). explicit ParallelDevice(const std::vector<std::string>& devices,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 25 15:21:13 GMT 2023 - 12.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.h
void RegisterParallelDevice( TFE_Context* context, const char* device_name, const std::array<const char*, num_devices>& underlying_devices, TF_Status* status); // Create and modify a variable placed on a parallel device which composes // `first_device` and `second_device`. void BasicTestsForTwoDevices(TFE_Context* context, const char* first_device, const char* second_device);
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Feb 09 01:12:35 GMT 2021 - 6.9K bytes - Viewed (0) -
tensorflow/c/env.h
// updated, otherwise it is not touched. TF_CAPI_EXPORT extern void TF_FileStat(const char* filename, TF_FileStatistics* stats, TF_Status* status); // Creates or truncates the given filename and returns a handle to be used for // appending data to the file. If status is TF_OK, *handle is updated and the
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sat Jan 09 02:53:27 GMT 2021 - 9.6K bytes - Viewed (0) -
tensorflow/c/c_api.h
// loading a library. The rules for determining the exact location of the // library are platform-specific and are not documented here. // // On success, place OK in status and return the newly created library handle. // The caller owns the library handle. // // On failure, place an error status in status and return NULL. TF_CAPI_EXPORT extern TF_Library* TF_LoadLibrary(const char* library_filename,
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/c_api.h
// Create a new TFE_TensorHandle with the same contents as 'h' but placed // in the memory of the device name 'device_name'. // If source and destination are the same device, then this creates a new handle // that shares the underlying buffer. Otherwise, it currently requires at least // one of the source or destination devices to be CPU (i.e., for the source or // destination tensor to be placed in host memory).
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// 3) `TF_OUT_OF_RANGE` if the read from the remote filesystem succeeded, but /// the file contents do not extend past `offset` and thus nothing was /// placed in `out`. /// 4) `TF_OK` otherwise (i.e. the read succeeded, and at least one byte was /// placed /// in `buffer`). /// /// Caller is responsible for allocating memory for `buffer`. /// `buffer` will be left unchanged in case of errors.
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.h
virtual Status Dim(int dim_index, int64_t* dim) const = 0; // Returns the device which created the handle. virtual const char* DeviceName(Status* status) const = 0; // Returns the device where the tensor was placed. virtual const char* BackingDeviceName(Status* status) const = 0; // Returns the device type which created the handle. virtual const char* DeviceType(Status* status) const = 0;
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Mar 10 21:56:24 GMT 2023 - 4.3K bytes - Viewed (0)