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tensorflow/c/eager/tape.h
tensor_stack.pop_back(); auto op_id_it = tensor_tape.find(tensor_id); if (op_id_it == tensor_tape.end()) { continue; } int64_t op_id = op_id_it->second; auto op_it = op_tape->find(op_id); auto result_op_it = result.op_tape.find(op_id); if (op_id == -1 || op_it == op_tape->end() || result_op_it != result.op_tape.end()) { continue; }
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.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
#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: explicit TapeOperation(AbstractOperation*, 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 - 3.7K bytes - Viewed (1) -
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/experimental/gradients/nn_grad_test.cc
#include "tensorflow/c/eager/c_api_test_util.h" #include "tensorflow/c/eager/unified_api_testutil.h" #include "tensorflow/c/experimental/gradients/grad_test_helper.h" #include "tensorflow/c/experimental/gradients/tape/tape_context.h" #include "tensorflow/c/experimental/ops/nn_ops.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/core/platform/tensor_float_32_utils.h" #include "tensorflow/core/platform/test.h"
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K 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/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.cc
input_ids[i] = ToId(inputs[i]); input_dtypes[i] = inputs[i]->DataType(); } std::vector<TapeTensor> tape_tensors; tape_tensors.reserve(outputs.size()); for (auto t : outputs) { tape_tensors.push_back(TapeTensor(t)); } GradientTape::RecordOperation( op_name, tape_tensors, input_ids, input_dtypes, [gradient_function]() -> GradientFunction* { return gradient_function; },
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0)