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Results 1 - 10 of 54 for tape_ (0.05 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) -
src/cmd/compile/internal/test/testdata/gen/arithConstGen.go
`//go:noinline func {{.Name}}_{{.Type_}}_{{.FNumber}}(a {{.Type_}}) {{.Type_}} { return a {{.Symbol}} {{.Number}} } `)) fncCnst2 := template.Must(template.New("fnc").Parse( `//go:noinline func {{.Name}}_{{.FNumber}}_{{.Type_}}(a {{.Type_}}) {{.Type_}} { return {{.Number}} {{.Symbol}} a } `)) type fncData struct { Name, Type_, Symbol, FNumber, Number string } for _, s := range szs {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Sep 20 02:13:02 UTC 2022 - 8.3K 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) -
tensorflow/c/eager/c_api_unified_experimental.h
// A TF_ExecutionContext stores knowledge about how to execute an operation. // E.g. it could know whether we're in eager mode or graph mode, keeps track // of gradient tapes, etc. typedef struct TF_ExecutionContext TF_ExecutionContext; // A TF_AbstractTensor is an input to an operation. E.g. it could be a union // type of eager and graph tensors. It is also the result of executing an
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Oct 24 11:27:00 UTC 2021 - 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:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Sep 26 10:27:05 UTC 2022 - 6.9K 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)