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tensorflow/c/experimental/gradients/tape/tape_context.cc
#include "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 { TapeContext::TapeContext(AbstractContext* c, Tape* tape, const GradientRegistry& registry) : AbstractContext(kTape), parent_ctx_(c), tape_(tape), registry_(registry) {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 23 23:12:39 GMT 2020 - 1.7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/tape/tape_operation.cc
#include "tensorflow/c/experimental/gradients/tape/tape_operation.h" #include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/eager/gradients.h" namespace tensorflow { namespace gradients { TapeOperation::TapeOperation(AbstractOperation* parent_op, Tape* tape, const GradientRegistry& registry) : AbstractOperation(kTape), parent_op_(parent_op), tape_(tape),
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K 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&);
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
return ptr->getKind() == kTape; } ~TapeOperation() override; private: AbstractOperation* parent_op_; ForwardOperation forward_op_; Tape* tape_; const GradientRegistry& registry_; }; } // namespace gradients } // namespace tensorflow
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) -
docs/fr/docs/tutorial/index.md
# Tutoriel - Guide utilisateur - Introduction Ce tutoriel vous montre comment utiliser **FastAPI** avec la plupart de ses fonctionnalités, étape par étape. Chaque section s'appuie progressivement sur les précédentes, mais elle est structurée de manière à séparer les sujets, afin que vous puissiez aller directement à l'un d'entre eux pour résoudre vos besoins spécifiques en matière d'API. Il est également conçu pour fonctionner comme une référence future.
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tensorflow/c/experimental/gradients/tape/BUILD
) cc_library( name = "tape", hdrs = [ "tape_context.h", "tape_operation.h", ], visibility = [ "//tensorflow:internal", ], deps = [ ":tape_context", ":tape_operation", "//tensorflow/c/eager:abstract_context", "//tensorflow/c/eager:abstract_operation", "//tensorflow/c/eager:gradients_internal", ], ) filegroup(
Plain Text - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Nov 17 15:20:54 GMT 2022 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/gradients_test.cc
absl::Span<AbstractTensorHandle*> outputs) { Tape tape(/*persistent=*/false); tape.Watch(inputs[0]); AbstractTensorHandle* neg_output; TF_RETURN_IF_ERROR(ops::Neg(ctx, inputs[0], &neg_output, "Neg")); tape.RecordOperation(inputs, {neg_output}, nullptr, "Neg"); return tape.ComputeGradient(ctx, /*targets=*/{neg_output},
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
AbstractTensorHandle* GetHandle() const; private: AbstractTensorHandle* handle_; }; // A tracing/immediate-execution agnostic tape. // // Gradient functions defined for this tape must support handling null incoming // gradients. class Tape : protected eager::GradientTape<AbstractTensorHandle, GradientFunction, TapeTensor> { public:
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/grad_test_helper.cc
absl::Span<AbstractTensorHandle*> outputs) -> Status { Tape tape(/*persistent=*/false); for (size_t i{}; i < inputs.size(); ++i) { tape.Watch(inputs[i]); } std::vector<AbstractTensorHandle*> temp_outputs(1); AbstractContextPtr tape_ctx(new TapeContext(ctx, &tape, grad_registry)); TF_RETURN_IF_ERROR( forward_model(tape_ctx.get(), inputs, absl::MakeSpan(temp_outputs)));
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/abstract_context.h
// 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 }; explicit AbstractContext(AbstractContextKind kind) : kind_(kind) {} virtual ~AbstractContext() {} public: AbstractContextKind getKind() const { return kind_; }
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