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tensorflow/c/eager/tfe_cancellation_manager_internal.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_TFE_CANCELLATION_MANAGER_INTERNAL_H_ #define TENSORFLOW_C_EAGER_TFE_CANCELLATION_MANAGER_INTERNAL_H_ #include "tensorflow/c/conversion_macros.h" #include "tensorflow/core/framework/cancellation.h" struct TFE_CancellationManager;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 02 18:56:02 GMT 2021 - 1.3K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_distributed_manager.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_ #define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_ #include <cstdint> #include <string> #include "tensorflow/core/platform/status.h" namespace tsl { class CoordinationServiceAgent; } namespace tensorflow {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c:safe_ptr", "//tensorflow/c:tf_status_internal", "//tensorflow/c/eager:c_api", "//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:tfe_cancellation_manager_internal", "//tensorflow/c/eager:tfe_op_internal", "//tensorflow/c/eager:tfe_tensorhandle_internal", "//tensorflow/core:framework", "//tensorflow/core:lib",
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tensorflow/c/eager/immediate_execution_operation.h
virtual const tensorflow::AbstractOpAttrs* GetOpAttrs() const = 0; virtual void AddAttrs(const AbstractOpAttrs* op_attrs) = 0; virtual void SetCancellationManager( CancellationManager* cancellation_manager) = 0; // Returns the stack trace set by `SetStackTrace` if exists. virtual absl::optional<ManagedStackTrace> GetStackTrace() = 0; virtual void SetStepId(int64_t step_id) = 0; // For LLVM style RTTI.
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tensorflow/c/eager/c_api_internal.h
#define TENSORFLOW_C_EAGER_C_API_INTERNAL_H_ #include "tensorflow/c/c_api_internal.h" #include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h" #include "tensorflow/c/eager/tfe_cancellation_manager_internal.h" // IWYU pragma: export #include "tensorflow/c/eager/tfe_executor_internal.h" // IWYU pragma: export #include "tensorflow/c/eager/tfe_monitoring_internal.h" // IWYU pragma: export
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ISSUES.md
the whole community, e.g., fixing bugs and adding features. Individual support should be sought on Stack Overflow or other non-GitHub channels. It helps us to
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tensorflow/c/experimental/gradients/tape/tape_operation.cc
int* num_retvals) { TF_RETURN_IF_ERROR(parent_op_->Execute(retvals, num_retvals)); for (int i = 0; i < *num_retvals; i++) { // TODO(srbs): Manage refcount of ForwardOperation's inputs/outputs. forward_op_.outputs.push_back(retvals[i]); } // TODO(b/166669239): This is needed to support AttrBuilder::Get for string
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tensorflow/c/eager/abstract_operation.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 it's own // lifetime through ref counting. Thus this must be allocated on the heap and // clients MUST call Release() in order to destroy an instance of this class. virtual void Release() = 0;
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ci/official/containers/linux_arm64/devel.usertools/repack_libtensorflow.sh
# # Source files generated by annotation processors appear directly # under the root of srcjars jars created by bazel, rather than under # the maven-style src/main/java subdirectory. # # Bazel manages annotation generated source as follows: First, it # calls javac with options that create generated files under a # bazel-out directory. Next, it archives the generated source files
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ci/devinfra/README.md
[@devinfra](https://github.com/orgs/tensorflow/teams/devinfra) ******************************************************************************** A directory for build and CI related scripts and jobs managed by the TensorFlow
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