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tensorflow/c/eager/immediate_execution_operation.h
#include "tensorflow/core/platform/status.h" #include "tensorflow/core/util/managed_stack_trace.h" struct TFE_Op; namespace tensorflow { class ImmediateExecutionContext; class AbstractOpAttrs; // Abstract interface to an operation. class ImmediateExecutionOperation : public AbstractOperation { public: virtual void Clear() = 0; // Returns the inputs of this op.
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/experimental/filesystem/plugins/gcs/gcs_helper.h
#ifndef TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_GCS_HELPER_H_ #define TENSORFLOW_C_EXPERIMENTAL_FILESYSTEM_PLUGINS_GCS_GCS_HELPER_H_ #include <fstream> #include <string> class TempFile : public std::fstream { public: // We should specify openmode each time we call TempFile. TempFile(const std::string& temp_file_name, std::ios::openmode mode); TempFile(TempFile&& rhs); ~TempFile() override;
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Jun 26 14:56:58 GMT 2020 - 1.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
namespace tf_gcs_filesystem { /// \brief An LRU cache of string keys and arbitrary values, with configurable /// max item age (in seconds) and max entries. /// /// This class is thread safe. template <typename T> class ExpiringLRUCache { public: /// A `max_age` of 0 means that nothing is cached. A `max_entries` of 0 means /// that there is no limit on the number of entries in the cache (however, if
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 6.3K bytes - Viewed (0) -
tensorflow/c/eager/abstract_context.h
// Release any underlying resources, including the interface object. // // WARNING: The destructor of this class is marked as protected to disallow // clients from directly destroying this object since it may manage its own // lifetime through ref counting. Thus clients MUST call Release() in order to // destroy an instance of this class. virtual void Release() = 0; // Creates an operation builder and ties it to this context.
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_lib.h
namespace tensorflow { namespace parallel_device { using TensorHandlePtr = tensorflow::Safe_TFE_TensorHandlePtr; class ParallelTensor; class DeviceThread; // Forwards operations to `devices`, maintaining ParallelTensor with components // placed on each underlying device. class ParallelDevice { public: // Eager async execution is only supported when remote eager is not in use // (b/157523095).
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/not_differentiable.h
#include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/gradients.h" namespace tensorflow { namespace gradients { // Ignores `grad_outputs` and sets all entries in grad_inputs to nullptr. class NotDifferentiableGradientFunction : public GradientFunction { Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs,
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Dec 03 22:28:48 GMT 2020 - 1.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_test_util.h
TFE_TensorHandle* TestTensorHandleWithDimsInt(TFE_Context* ctx, int data[], int64_t dims[], int num_dims); // Return a tensor handle with given type, values and dimensions. template <class T, TF_DataType datatype> TFE_TensorHandle* TestTensorHandleWithDims(TFE_Context* ctx, const T* data, const int64_t* dims, int num_dims) { TF_Status* status = TF_NewStatus();
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Jul 17 23:43:59 GMT 2023 - 7.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_testlib.h
#include "tensorflow/core/platform/test.h" namespace tensorflow { namespace parallel_device { // A helper for performing common operations on variables. A much more // restricted stand-in for tf.Variable in Python. class Variable { public: // Construct a Variable from a resource-dtype TFE_TensorHandle and an // indication of the dtype of the variable's value. //
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 09 01:12:35 GMT 2021 - 6.9K bytes - Viewed (0) -
tensorflow/c/eager/abstract_function.h
#include "tensorflow/core/platform/refcount.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { class FunctionRecord; // A traced function: this hides the complexity of converting the serialized // representation between various supported formats e.g. FunctionDef and Mlir // function. class AbstractFunction : public core::RefCounted { protected: enum AbstractFunctionKind { kGraph, kMlir };
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Mar 04 19:49:06 GMT 2024 - 1.9K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/tape/tape_context.h
#include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/experimental/gradients/tape/tape_operation.h" namespace tensorflow { namespace gradients { class TapeContext : public AbstractContext { public: explicit TapeContext(AbstractContext*, Tape*, const GradientRegistry&); void Release() override; TapeOperation* CreateOperation() override;
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 23 23:12:39 GMT 2020 - 1.6K bytes - Viewed (0)