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tensorflow/c/eager/tfe_context_internal.h
// Wraps a pointer to a context implementation. // // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying context object. Instead, call // TFE_DeleteContext who calls Release() on the context pointer and deletes // the TFE_Context structure. typedef struct TFE_Context TFE_Context; namespace tensorflow { DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionContext, TFE_Context);
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/tfe_op_internal.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; namespace tensorflow { DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionOperation, 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/tfe_tensorhandle_internal.h
// // WARNING: Since the underlying object could be ref-counted a user of this // interface cannot destruct the underlying handle object. Instead, call // TFE_DeleteTensorHandle who calls Release() on the handle pointer and deletes // the TFE_TensorHandle structure. typedef struct TFE_TensorHandle TFE_TensorHandle; namespace tensorflow { DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionTensorHandle,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jun 17 19:39:13 GMT 2020 - 1.6K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_operation.h
~ImmediateExecutionOperation() override {} }; namespace internal { struct ImmediateExecutionOperationDeleter { void operator()(ImmediateExecutionOperation* p) const { if (p != nullptr) { p->Release(); } } }; } // namespace internal using ImmediateOpPtr = std::unique_ptr<ImmediateExecutionOperation, internal::ImmediateExecutionOperationDeleter>;
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_experimental.h
TF_Status*); // Creates a new TensorHandle from memory residing in the physical device // device_name. Takes ownership of the memory, and will call deleter to release // it after TF no longer needs it or in case of error. // // Custom devices must use TFE_NewCustomDeviceTensorHandle instead. TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandleFromDeviceMemory(
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/parallel_device/parallel_device_lib.h
// component device. Status SummarizeValue(std::string& summary); std::vector<TensorHandlePtr> release_tensors() { return std::move(tensors_); } std::vector<TFE_TensorHandle*> tensors() const { std::vector<TFE_TensorHandle*> result; result.reserve(tensors_.size()); for (const TensorHandlePtr& tensor : tensors_) { result.emplace_back(tensor.get()); } return result;
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/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;
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/tape.h
} // Stop the tape from recording pop_backward_tape.release()(); std::vector<int64_t> targets; std::vector<Gradient*> used_in_grads; // We may end up with slightly fewer elements than we reserve, but grad.size() // should be a reasonably tight upper bound. targets.reserve(grad.size()); used_in_grads.reserve(grad.size()); std::unordered_map<int64_t, TapeTensor> sources_that_are_targets;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/experimental/gradients/tape/tape_context.h
namespace tensorflow { namespace gradients { class TapeContext : public AbstractContext { public: explicit TapeContext(AbstractContext*, Tape*, const GradientRegistry&); void Release() override; TapeOperation* CreateOperation() override; Status RegisterFunction(AbstractFunction*) override; Status RemoveFunction(const string& func) override; // For LLVM style RTTI.
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/experimental/gradients/tape/tape_operation.h
namespace tensorflow { namespace gradients { class TapeOperation : public AbstractOperation { public: explicit TapeOperation(AbstractOperation*, Tape*, const GradientRegistry&); void Release() override; Status Reset(const char* op, const char* raw_device_name) override; const string& Name() const override; const string& DeviceName() const override; Status SetDeviceName(const char* name) override;
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)