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tensorflow/c/experimental/grappler/grappler.h
// `TP_Optimizer`, `TP_OptimizerRegistrationParams` // * Struct that should be filled by the proper: `TF_GrapplerItem`, // `TF_GraphProperties`, `TF_FunctionLibraryDefinition` // * We use `struct_size` for version checking. It should be set both by // core and the plugin. // * For example, `TF_InitGraph` function receives // `TP_OptimizerRegistrationParams*` as input with `struct_size`
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) -
tensorflow/c/eager/c_api_experimental.h
// APIs for generically dealing with op attributes (e.g. when forwarding them // through custom device implementations). // // TODO(allenl): Currently these are black boxes, but we should have some way to // inspect values. This would let people e.g. copy over most attributes and then // modify some based on their values. // A reference to an op's name -> attribute mapping
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_lib.h
delete reinterpret_cast<DataType*>(data); }, nullptr), TF_DeleteTensor); // TODO(allenl): Here and when executing regular operations, we could hold // on to one TFE_Op per device and just call TFE_ResetOp to avoid parsing // device names repeatedly. std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> const_op(
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/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
// is always executed during Read. bool IsCacheEnabled() const { return block_size_ > 0 && max_bytes_ > 0; } // We can not pass a lambda with capture as a function pointer to // `TF_StartThread`, so we have to wrap `Prune` inside a static function. static void PruneThread(void* param) { auto ram_file_block_cache = static_cast<RamFileBlockCache*>(param);
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/c_api.h
// error information in *status. TF_CAPI_EXPORT extern void TFE_ContextOptionsSetConfig( TFE_ContextOptions* options, const void* proto, size_t proto_len, TF_Status* status); // Controls how to act when we try to run an operation on a given device but // some input tensors are not on that device. // LINT.IfChange // Note: Keep in sync with internal copy of enum in eager/context.h. typedef enum TFE_ContextDevicePlacementPolicy {
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/eager/immediate_execution_context.h
// Update the Eager Executor for current thread. virtual void SetExecutorForThread(EagerExecutor* executor) = 0; // Return a list of local tensorflow::Device*. // TODO(tfrt-devs): We shouldn't expose legacy device in this API. virtual std::vector<tensorflow::Device*> ListLocalTfDevices() = 0; // Return a list of all tensorflow::Device*. virtual std::vector<tensorflow::Device*> ListAllTfDevices() = 0;
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// // Below here we do the gradient algorithm. It works as follows: // // First we filter the tape to just the subset of operations we want to // differentiate. In the process of doing so we count how many times each Tensor // is used as an input to an op (so we know when we're done computing gradients // for that Tensor). We also count, for each tape entry, how many of its output
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1)