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Results 1 - 5 of 5 for Jeep (0.13 sec)
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tensorflow/c/eager/c_api_experimental.h
TF_CAPI_EXPORT extern void TFE_ContextUpdateServerDefWithTimeout( TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len, int64_t init_timeout_in_ms, TF_Status* status); // This API is for experimental usage and may be subject to change. TF_CAPI_EXPORT extern void TFE_ContextSetServerDefWithTimeout( TFE_Context* ctx, int keep_alive_secs, const void* proto, size_t proto_len,
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.h
TF_Operation* op); // Call some TF_SetAttr*() function for every attr that is not // inferred from an input and doesn't have a default value you wish to // keep. // `value` must point to a string of length `length` bytes. TF_CAPI_EXPORT extern void TF_SetAttrString(TF_OperationDescription* desc, const char* attr_name,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
tensorflow/c/eager/tape.h
template <typename Gradient, typename BackwardFunction, typename TapeTensor> class GradientTape { public: // If `persistent` is true, GradientTape will not eagerly delete backward // functions (and hence the tensors they keep alive). Instead, everything // is deleted in ~GradientTape. Persistent GradientTapes are useful when // users want to compute multiple gradients over the same tape.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/immediate_execution_distributed_manager.h
// on remote tasks will be considered stale and garbage collected after // `keep_alive_secs` of inactivity. virtual Status SetOrUpdateServerDef(const ServerDef& server_def, bool reset_context, int keep_alive_secs, int64_t init_timeout_in_ms, int retries,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
#include "tensorflow/core/util/device_name_utils.h" namespace tensorflow { class EagerExecutor; class EagerContext; class CustomDevice; class CustomDeviceOpHandler; class Device; // LINT.IfChange // Note: Keep in sync with exported copy of enum in eager/c_api.h. enum ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. DEVICE_PLACEMENT_EXPLICIT = 0,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0)