| /external/federated-compute/fcp/aggregation/core/ |
| D | tensor_shape.cc | 40 StatusOr<TensorShape> TensorShape::FromProto( in FromProto() function in fcp::aggregation::TensorShape
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| D | tensor.cc | 215 StatusOr<Tensor> Tensor::FromProto(const TensorProto& tensor_proto) { in FromProto() function in fcp::aggregation::Tensor
228 StatusOr<Tensor> Tensor::FromProto(TensorProto&& tensor_proto) { in FromProto() function in fcp::aggregation::Tensor
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| /external/cronet/tot/third_party/protobuf/csharp/src/Google.Protobuf/Reflection/ |
| D | DescriptorDeclaration.cs | 109 … internal static DescriptorDeclaration FromProto(IDescriptor descriptor, Location location) => in FromProto() method in Google.Protobuf.Reflection.DescriptorDeclaration
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| /external/cronet/stable/third_party/protobuf/csharp/src/Google.Protobuf/Reflection/ |
| D | DescriptorDeclaration.cs | 109 … internal static DescriptorDeclaration FromProto(IDescriptor descriptor, Location location) => in FromProto() method in Google.Protobuf.Reflection.DescriptorDeclaration
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| /external/protobuf/csharp/src/Google.Protobuf/Reflection/ |
| D | DescriptorDeclaration.cs | 109 … internal static DescriptorDeclaration FromProto(IDescriptor descriptor, Location location) => in FromProto() method in Google.Protobuf.Reflection.DescriptorDeclaration
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| /external/tensorflow/tensorflow/core/framework/ |
| D | variant_tensor_data.cc | 51 bool VariantTensorData::FromProto(VariantTensorDataProto proto) { in FromProto() function in tensorflow::VariantTensorData
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| D | resource_handle.cc | 81 Status ResourceHandle::FromProto(const ResourceHandleProto& proto) { in FromProto() function in tensorflow::ResourceHandle
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| D | tensor.cc | 971 bool Tensor::FromProto(const TensorProto& proto) { in FromProto() function in tensorflow::Tensor
975 bool Tensor::FromProto(Allocator* a, const TensorProto& proto) { in FromProto() function in tensorflow::Tensor
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| D | model.cc | 2081 Status Node::FromProto(ModelProto::Node node_proto, in FromProto() function in tensorflow::data::model::Node
2742 Status Model::FromProto(ModelProto model_proto, std::unique_ptr<Model>* model) { in FromProto() function in tensorflow::data::model::Model
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| /external/tensorflow/tensorflow/cc/ops/ |
| D | const_op_test.cc | 103 TEST(ConstOpTest, FromProto) { in TEST() argument
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| /external/private-join-and-compute/private_join_and_compute/crypto/ |
| D | camenisch_shoup.cc | 360 StatusOr<std::unique_ptr<PublicCamenischShoup>> PublicCamenischShoup::FromProto( in FromProto() function in private_join_and_compute::PublicCamenischShoup
442 PrivateCamenischShoup::FromProto( in FromProto() function in private_join_and_compute::PrivateCamenischShoup
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| D | pedersen_over_zn.cc | 65 StatusOr<std::unique_ptr<PedersenOverZn>> PedersenOverZn::FromProto( in FromProto() function in private_join_and_compute::PedersenOverZn
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| /external/tensorflow/tensorflow/core/profiler/internal/ |
| D | tfprof_node.h | 228 void FromProto(const ExecProfile& exec) { in FromProto() function
435 void FromProto(const ProfileNode& node, const ProfileProto& profile, in FromProto() function
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| /external/tensorflow/tensorflow/c/ |
| D | tf_tensor.cc | 255 Status TensorInterface::FromProto(const tensorflow::TensorProto& from) { in FromProto() function in tensorflow::TensorInterface
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| D | hlo_sharding.cc | 643 /*static*/ StatusOr<HloSharding> HloSharding::FromProto( in FromProto() function in xla::HloSharding
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| /external/clang/lib/AST/ |
| D | ASTImporter.cpp | 3732 for (ObjCCategoryDecl::protocol_iterator FromProto = D->protocol_begin(), in VisitObjCCategoryDecl() local
3786 for (ObjCProtocolDecl::protocol_iterator FromProto = From->protocol_begin(), in ImportDefinition() local
3947 for (ObjCInterfaceDecl::protocol_iterator FromProto = From->protocol_begin(), in ImportDefinition() local
6185 ObjCProtocolDecl *FromProto = cast<ObjCProtocolDecl>(FromDC); in ImportContext() local
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| /external/tensorflow/tensorflow/dtensor/cc/ |
| D | tensor_layout.cc | 1014 StatusOr<Layout> Layout::FromProto(const LayoutProto& proto) { in FromProto() function in tensorflow::dtensor::Layout
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