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tensorflow/c/experimental/filesystem/modular_filesystem.h
~ModularWritableFile() override { ops_->cleanup(file_.get()); } Status Append(StringPiece data) override; Status Close() override; Status Flush() override; Status Sync() override; Status Name(StringPiece* result) const override; Status Tell(int64_t* position) override; private: std::string filename_; std::unique_ptr<TF_WritableFile> file_;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 12 08:49:52 GMT 2023 - 8.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
} tensorflow::Status Shape( tensorflow::PartialTensorShape* shape) const override { DCHECK(shape != nullptr); TF_Status status; int num_dims = TF_GraphGetTensorNumDims(graph_, output_, &status); DCHECK_GE(num_dims, -1); TF_RETURN_IF_ERROR(StatusFromTF_Status(&status)); if (num_dims == kUnknownRank) { return absl::OkStatus(); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/eager/unified_api_testutil.cc
return absl::OkStatus(); } Status GetValue(AbstractTensorHandle* t, TF_Tensor** result_tensor) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TFE_TensorHandle* result_t = TF_AbstractTensorGetEagerTensor(wrap(t), status.get()); TF_RETURN_IF_ERROR(StatusFromTF_Status(status.get()));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/c_test_util.h
TF_Operation* Placeholder(TF_Graph* graph, TF_Status* s, const char* name = "feed", TF_DataType dtype = TF_INT32, const std::vector<int64_t>& dims = {}); TF_Operation* Const(TF_Tensor* t, TF_Graph* graph, TF_Status* s, const char* name = "const"); TF_Operation* ScalarConst(bool v, TF_Graph* graph, TF_Status* s,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 09 01:06:53 GMT 2018 - 6K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_test.cc
namespace { class UnifiedAPI : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); Status s = StatusFromTF_Status(status.get()); CHECK_EQ(errors::OK, s.code()) << s.message(); } public: bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
// Step 2: Initialize the opaque filesystem structure auto filesystem = std::make_unique<TF_Filesystem>(); TF_Status* c_status = TF_NewStatus(); Status status = OkStatus(); core_filesystem_ops->init(filesystem.get(), c_status); status = Status(c_status->status); TF_DeleteStatus(c_status); if (!status.ok()) return status; // Step 3: Actual registration return Env::Default()->RegisterFileSystem(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 07 22:08:43 GMT 2023 - 12.8K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker_test.cc
protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus()); TF_SetTracingImplementation(std::get<0>(GetParam()), status.get()); { Status s = StatusFromTF_Status(status.get()); CHECK_EQ(errors::OK, s.code()) << s.message(); } { AbstractContext* ctx_raw = nullptr; Status s = BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0) -
tensorflow/c/eager/abstract_tensor_handle.h
virtual tensorflow::DataType DataType() const = 0; // Returns the status of the tensor handle. If it is a tfrt::TensorHandle, // the tensor handle can be an error and return non-OK status. virtual tensorflow::Status TensorHandleStatus() const; // Returns tensor shape. If tensor has unknown rank, shape remains untouched. virtual tensorflow::Status Shape( tensorflow::PartialTensorShape* shape) const = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Mar 03 00:30:36 GMT 2023 - 3K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_context.h
virtual Status AddDevices(std::vector<std::unique_ptr<Device>> devices) = 0; // Block until all pending nodes are finished. virtual Status AsyncWait() = 0; // Add a function (serialized FunctionDef protocol buffer) so that it can // be executed as an op. Return error if the function with the same name // already exists. virtual Status AddFunctionDef(const FunctionDef& fdef) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/math_grad.cc
using tensorflow::ops::Mul; using tensorflow::ops::Neg; using tensorflow::ops::OnesLike; using tensorflow::ops::SqrtGrad; namespace tensorflow { namespace gradients { namespace { static Status SafeConj(AbstractContext* ctx, AbstractTensorHandle* const input, AbstractTensorHandle** output, const char* name) { auto dtype = input->DataType(); if (DataTypeIsFloating(BaseType(dtype)) ||
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0)