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tensorflow/c/eager/immediate_execution_operation.h
==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_OPERATION_H_ #include <memory> #include "absl/types/optional.h" #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_operation.h" #include "tensorflow/c/eager/immediate_execution_tensor_handle.h" #include "tensorflow/c/tensor_interface.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.h
// A TF_ExecutionContext stores knowledge about how to execute an operation. // E.g. it could know whether we're in eager mode or graph mode, keeps track // of gradient tapes, etc. typedef struct TF_ExecutionContext TF_ExecutionContext; // A TF_AbstractTensor is an input to an operation. E.g. it could be a union // type of eager and graph tensors. It is also the result of executing an // operation. typedef struct TF_AbstractTensor TF_AbstractTensor;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:27:00 GMT 2021 - 7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
// Registers a custom device for use with eager execution. // // Eager operations may be placed on this device, e.g. `with // tf.device("CUSTOM"):` from Python if `device_name` for this call is // "/job:localhost/replica:0/task:0/device:CUSTOM:0". // // The custom device defines copy operations for moving TensorHandles on and // off, and an execution operation for named operations. Often execution will
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/eager/tfe_op_internal.h
#include "tensorflow/c/conversion_macros.h" #include "tensorflow/c/eager/immediate_execution_operation.h" // Wraps a pointer to an operation implementation. // // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying operation object. Instead, call // TFE_DeleteOp who calls Release() on the operation pointer and deletes // the TFE_Op structure. typedef struct TFE_Op TFE_Op;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/tracing_utils.h
==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_TRACING_UTILS_H_ #define TENSORFLOW_C_EAGER_TRACING_UTILS_H_ #include "tensorflow/c/eager/abstract_operation.h" namespace tensorflow { namespace tracing { Status MaybeSetOpName(AbstractOperation*, const char* op_name); } // namespace tracing } // namespace tensorflow
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 31 17:39:44 GMT 2022 - 1016 bytes - Viewed (0) -
tensorflow/c/c_api.h
TF_CAPI_EXPORT extern void TF_DeleteGraph(TF_Graph*); // Operation being built. The underlying graph must outlive this. typedef struct TF_OperationDescription TF_OperationDescription; // Operation that has been added to the graph. Valid until the graph is // deleted -- in particular adding a new operation to the graph does not // invalidate old TF_Operation* pointers. typedef struct TF_Operation TF_Operation;
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/parallel_device/parallel_device_lib.h
// The number of devices operations run on. size_t num_underlying_devices() const { return underlying_devices_.size(); } // The devices operations run on. const std::vector<std::string>& underlying_devices() const { return underlying_devices_; } // Takes a description of a single operation being executed on the // ParallelDevice, and in turn runs one operation per component device with
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) -
tensorflow/c/experimental/gradients/tape/tape_operation.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_OPERATION_H_ #define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_OPERATION_H_ #include "tensorflow/c/eager/abstract_operation.h" #include "tensorflow/c/eager/gradients.h" namespace tensorflow { namespace gradients { class TapeOperation : public AbstractOperation { public:
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 23 23:12:39 GMT 2020 - 3.7K bytes - Viewed (1) -
tensorflow/c/eager/abstract_context.h
#include <memory> #include "tensorflow/c/eager/abstract_function.h" #include "tensorflow/c/eager/abstract_operation.h" namespace tensorflow { // Abstract interface to a context. // // This serves as a factory for creating `AbstractOperation`s and for // registering traced functions. // Operations creation within a context can only be executed in that context // (for now at least).
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sun Oct 24 11:16:58 GMT 2021 - 3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.h
#include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.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"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jun 04 21:49:16 GMT 2020 - 2.9K bytes - Viewed (0)