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Results 1 - 10 of 41 for tape_ (0.55 sec)
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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),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 06:16:45 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
// watched and not the result of any operation in the tape. using TensorTape = std::unordered_map<int64_t, int64_t>; // Map from operation-id to tape entry. template <typename BackwardFunction, typename TapeTensor> using OpTape = std::unordered_map<int64_t, OpTapeEntry<BackwardFunction, TapeTensor>>; // Operations the tape needs to perform on tensors to do backpropagation. Named
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 02 12:40:29 UTC 2024 - 47.2K bytes - Viewed (0) -
src/cmd/internal/obj/ppc64/asm9.go
{as: AMOVFL, a1: C_REG, a6: C_CREG, type_: 69, size: 4}, {as: AMOVFL, a1: C_REG, a6: C_32CON, type_: 69, size: 4}, {as: ASYSCALL, type_: 5, size: 4}, {as: ASYSCALL, a1: C_REG, type_: 77, size: 12}, {as: ASYSCALL, a1: C_U15CON, type_: 77, size: 12}, {as: ABEQ, a6: C_BRA, type_: 16, size: 4}, {as: ABEQ, a1: C_CREG, a6: C_BRA, type_: 16, size: 4},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 15 13:55:28 UTC 2024 - 156.1K bytes - Viewed (0) -
tensorflow/cc/experimental/libtf/value.h
explicit TaggedValue(float f32) : type_(FLOAT32), data_(Float32(f32)) {} /// TaggedValue constructor for type INT64. explicit TaggedValue(int64_t i64) : type_(INT64), data_(Int64(i64)) {} /// TaggedValue constructor for type FLOAT32. explicit TaggedValue(Float32 f32) : type_(FLOAT32), data_(f32) {} /// TaggedValue constructor for type INT64. explicit TaggedValue(Int64 i64) : type_(INT64), data_(i64) {}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:23:45 UTC 2024 - 20.4K bytes - Viewed (0) -
fastapi/utils.py
mode: Literal["validation", "serialization"] = "validation", ) -> ModelField: """ Create a new response field. Raises if type_ is invalid. """ class_validators = class_validators or {} if PYDANTIC_V2: field_info = field_info or FieldInfo( annotation=type_, default=default, alias=alias ) else: field_info = field_info or FieldInfo()
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:40:57 UTC 2024 - 7.8K 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(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 5K bytes - Viewed (0) -
platforms/documentation/docs/src/snippets/native-binaries/google-test/groovy/libs/googleTest/1.7.0/include/gtest/gtest-test-part.h
bool passed() const { return type_ == kSuccess; } // Returns true iff the test part failed. bool failed() const { return type_ != kSuccess; } // Returns true iff the test part non-fatally failed. bool nonfatally_failed() const { return type_ == kNonFatalFailure; } // Returns true iff the test part fatally failed. bool fatally_failed() const { return type_ == kFatalFailure; } private:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Nov 27 17:53:42 UTC 2023 - 6.4K bytes - Viewed (0) -
testing/performance/src/templates/native-dependents-resources/googleTest/libs/googleTest/1.7.0/include/gtest/gtest-test-part.h
bool passed() const { return type_ == kSuccess; } // Returns true iff the test part failed. bool failed() const { return type_ != kSuccess; } // Returns true iff the test part non-fatally failed. bool nonfatally_failed() const { return type_ == kNonFatalFailure; } // Returns true iff the test part fatally failed. bool fatally_failed() const { return type_ == kFatalFailure; } private:
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Apr 04 07:21:38 UTC 2024 - 6.4K bytes - Viewed (0) -
src/cmd/link/internal/loadelf/ldelf.go
return errorf("%s: malformed elf file: %v", pn, err) } symbols[i] = elfsym.sym if elfsym.type_ != elf.STT_FUNC && elfsym.type_ != elf.STT_OBJECT && elfsym.type_ != elf.STT_NOTYPE && elfsym.type_ != elf.STT_COMMON { continue } if elfsym.shndx == elf.SHN_COMMON || elfsym.type_ == elf.STT_COMMON { sb := l.MakeSymbolUpdater(elfsym.sym) if uint64(sb.Size()) < elfsym.size {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Feb 16 15:12:12 UTC 2024 - 33.9K 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,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 4.8K bytes - Viewed (0)