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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/eager/c_api.h
TF_Status* status); // Controls how to act when we try to run an operation on a given device but // some input tensors are not on that device. // LINT.IfChange // Note: Keep in sync with internal copy of enum in eager/context.h. typedef enum TFE_ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. TFE_DEVICE_PLACEMENT_EXPLICIT = 0,
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/immediate_execution_context.h
enum ContextDevicePlacementPolicy { // Running operations with input tensors on the wrong device will fail. DEVICE_PLACEMENT_EXPLICIT = 0, // Copy the tensor to the right device but log a warning. DEVICE_PLACEMENT_WARN = 1, // Silently copy the tensor, which has a performance cost since the operation // will be blocked till the copy completes. This is the default policy.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_internal.h
return ptr->getKind() == kGraph || ptr->getKind() == kMlir; } }; // An abstract operation describes an operation by its type, name, and // attributes. It can be "executed" by the context with some input tensors. // It is allowed to reusing the same abstract operation for multiple execution // on a given context, with the same or different input tensors. class TracingOperation : public AbstractOperation {
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Nov 13 22:20:40 GMT 2020 - 5.2K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
// maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`, // inputs and outputs and the gradient function These data structures combined // allow us to trace the data dependencies between operations and hence compute // gradients. // // `ZerosLike` is not expected to be called and returns a nullptr. The creation // of default zeros grads is handled by the `DefaultGradientFunction` registered // for each op.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K 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/experimental/gradients/tape/tape_context.h
#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_CONTEXT_H_ #define 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;
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) -
tensorflow/c/eager/abstract_operation.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_ABSTRACT_OPERATION_H_ #define TENSORFLOW_C_EAGER_ABSTRACT_OPERATION_H_ #include <memory> #include "absl/types/span.h" #include "tensorflow/c/eager/abstract_tensor_handle.h" #include "tensorflow/c/tensor_interface.h"
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/c_test_util.h
TF_Operation* Min(TF_Operation* l, TF_Operation* r, TF_Graph* graph, TF_Status* s, const char* name = "min"); TF_Operation* Mul(TF_Operation* l, TF_Operation* r, TF_Graph* graph, TF_Status* s, const char* name = "mul"); // If `op_device` is non-empty, set the created op on that device. TF_Operation* MinWithDevice(TF_Operation* l, TF_Operation* r, TF_Graph* graph,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 09 01:06:53 GMT 2018 - 6K bytes - Viewed (0)