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tensorflow/c/eager/c_api.h
// Returns the number of elements in dimension `dim_index`. // Tensor representation on device can be transposed from its representation // on host. The data contained in dimension `dim_index` on device // can correspond to the data contained in another dimension in on-host // representation. The dimensions are indexed using the standard TensorFlow // major-to-minor order (slowest varying dimension first),
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_operation.h
ImmediateExecutionTensorHandle* input) = 0; virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means // that the argument need to be handled by a custom device. virtual bool HasCustomDeviceInput() const = 0; virtual const tensorflow::OpDef* OpDef() const = 0;
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tensorflow/c/eager/c_api_unified_experimental.h
// type of eager and graph tensors. It is also the result of executing an // operation. typedef struct TF_AbstractTensor TF_AbstractTensor; // A TF_AbstractOp is the metadata we need to execute an operation. E.g. this // could contain the op type and other attributes. typedef struct TF_AbstractOp TF_AbstractOp; // Stores a function representation that can be used for execution or for // setting functional attributes of other composite ops e.g. control flow.
C - Registered: Tue Apr 23 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
// which is passed to the functions referenced in the TFE_CustomDevice struct // `device` (execute, delete_device, etc.). It can for example contain the // names of wrapped devices. // // There are currently no graph semantics implemented for registered custom // devices, so executing tf.functions which contain operations placed on the // custom devices will fail. // // `device_name` must not name an existing physical or custom device. It must
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tensorflow/c/c_api_internal.h
TF_GUARDED_BY(mu); bool delete_requested TF_GUARDED_BY(mu); // set true by TF_DeleteGraph // Used to link graphs contained in TF_WhileParams to the parent graph that // will eventually contain the full while loop. TF_Graph* parent; TF_Output* parent_inputs; }; struct TF_OperationDescription { TF_OperationDescription(TF_Graph* g, const char* op_type,
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tensorflow/c/eager/abstract_op_attrs.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_ #define TENSORFLOW_C_EAGER_ABSTRACT_OP_ATTRS_H_ #include "absl/container/inlined_vector.h" #include "tensorflow/core/framework/attr_value.pb.h" #include "tensorflow/core/framework/types.pb.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Attributes of an op.
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tensorflow/c/eager/abstract_context.h
// registering traced functions. // Operations creation within a context can only be executed in that context // (for now at least). // Implementations of the context may contain some state e.g. an execution // environment, a traced representation etc. class AbstractContext { protected: enum AbstractContextKind { kGraph, kMlir, kEager, kTfrt, kTape, kOpHandler };
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tensorflow/c/c_api.h
// `inputs` cannot contain the same tensor twice. // noutputs - number of elements in `outputs` array // outputs - array of TF_Outputs that specify the outputs of the function. // If `noutputs` is zero (the function returns no outputs), `outputs` // can be null. `outputs` can contain the same tensor more than once.
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
// are executed asynchronously this must outlive the queued op, so it can't be // function-local to Execute. mutable std::unique_ptr<CancellationManager> default_cancellation_manager_; }; // Contains a tuple of tensors, one on each of the `underlying_devices_` of the // ParallelDevice. class ParallelTensor { public: // Construct a ParallelTensor from TensorHandles placed on the component
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tensorflow/c/eager/tape.h
// a tensor with the result. virtual Gradient* AggregateGradients( gtl::ArraySlice<Gradient*> gradient_tensors) const = 0; // Calls the passed-in backward function. // // `unneeded_gradients` contains sorted list of input indices for which a // gradient is not required. virtual Status CallBackwardFunction( const string& op_type, BackwardFunction* backward_function,
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