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tensorflow/c/c_api.h
// like shadowing a numpy array. // * We do not provide TF_OK since it is not strictly necessary and we // are not optimizing for convenience. // * We make assumption that one session has one graph. This should be // fine since we have the ability to run sub-graphs. // * We could allow NULL for some arguments (e.g., NULL options arg). // However since convenience is not a primary goal, we don't do this.
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/c_api_experimental.h
TF_Status* status); // ----------------------------------------------------------------------------- // Eager Executor APIs. typedef struct TFE_Executor TFE_Executor; // Creates a new eager Executor. Nodes in one executor are guaranteed to be // executed in sequence. Assigning nodes to different executors allows executing // nodes in parallel. // in_flight_nodes_limit: when is_async is true, this value controls the
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
const std::vector<std::string> underlying_devices_; // A sequence of thread wrappers, one per device, for executing operations in // parallel. // // Conceptually this is a thread pool with one thread per device. It requires // less synchronization than a thread pool would for this task, since Execute // acquires each thread in order (and so only one Execute will schedule // blocking collective operations at a time), and avoids some dynamic
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tensorflow/c/eager/tape.h
void DeleteTrace(int64_t tensor_id); // Consumes the internal state of the tape (so cannot be called more than // once) and produces the gradient of the target tensors with respect to the // source tensors. The output gradients are used if not empty and not // null. The result is populated with one tensor per target element. // When running backward functions, builds zeros-like tensors for
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/c_api.h
TF_Function* function, TF_Status* status); // Removes a function from the context. Once removed, you can no longer // TFE_Execute it or TFE_Execute any TFE_Op which has it as an attribute or any // other function which calls it as an attribute. TF_CAPI_EXPORT extern void TFE_ContextRemoveFunction(TFE_Context* ctx,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/eager/gradients.h
// Consumes the internal state of the tape (so cannot be called more than // once unless the tape is persistent) and produces the gradient of the target // tensors with respect to the source tensors. The output gradients are used // if not empty and not null. The result is populated with one tensor per // target element. Status ComputeGradient(
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tensorflow/c/experimental/filesystem/modular_filesystem.h
#include "tensorflow/core/platform/file_system.h" /// This file builds classes needed to hold a filesystem implementation in the /// modular world. Once all TensorFlow filesystems are converted to use the /// plugin based approach, this file will replace the one in core/platform and /// the names will lose the `Modular` part. Until that point, the `Modular*` /// classes here are experimental and subject to breaking changes.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 8.9K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.h
std::pair<std::unique_ptr<TensorSliceReader::VarToShapeMap>, std::unique_ptr<TensorSliceReader::VarToDataTypeMap> > BuildV2VarMaps(); // Invariant: exactly one of "reader_" and "v2_reader_" is non-null. std::unique_ptr<TensorSliceReader> reader_; std::unique_ptr<BundleReader> v2_reader_; std::unique_ptr<TensorSliceReader::VarToShapeMap> var_to_shape_map_;
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