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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 23 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_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),
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.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_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/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 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K 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/experimental/gradients/custom_gradient_test.cc
Tape tape(/*persistent=*/false); tape.Watch(inputs[0]); // Watch x. AbstractTensorHandle* exp_output; TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp")); std::unique_ptr<GradientFunction> gradient_function( new PassThroughGradientFunction); tape.RecordOperation(inputs, {exp_output}, gradient_function.release()); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx,
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/BUILD
deps = [ "//tensorflow/c/eager:gradient_checker", "//tensorflow/c/eager:gradients_internal", "//tensorflow/c/eager:unified_api_testutil", "//tensorflow/c/experimental/gradients/tape:tape_context", "//tensorflow/core:test", "//tensorflow/core:test_main", ], ) tf_cuda_cc_test( name = "nn_grad_test", size = "small", srcs = [
Plain Text - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Mon Apr 01 20:39:44 GMT 2024 - 6.7K bytes - Viewed (0)