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tensorflow/c/c_api.cc
return nullptr; #else tensorflow::ServerDef server_def; if (!server_def.ParseFromArray(proto, static_cast<int>(proto_len))) { status->status = InvalidArgument( "Could not parse provided bytes into a ServerDef protocol buffer"); return nullptr; } std::unique_ptr<tensorflow::ServerInterface> out_server; status->status = tensorflow::NewServer(server_def, &out_server);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_static.cc
TF_FilesystemPluginInfo info; TF_InitPlugin(&info); Status status = filesystem_registration::RegisterFilesystemPluginImpl(&info); if (!status.ok()) { VLOG(0) << "Static POSIX filesystem could not be registered: " << status; return false; } return true; } // Perform the actual registration static bool unused = StaticallyRegisterLocalFilesystems();
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 1.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed // for computing gradient so we could safely drop it. outputs[0] = temp_outputs[1]; temp_outputs[0]->Unref(); return absl::OkStatus(); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected:
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/filesystem/plugins/posix/posix_filesystem.cc
const char* filename; int fd; } PosixFile; static void Cleanup(TF_RandomAccessFile* file) { auto posix_file = static_cast<PosixFile*>(file->plugin_file); close(posix_file->fd); // This would be safe to free using `free` directly as it is only opaque. // However, it is better to be consistent everywhere. plugin_memory_free(const_cast<char*>(posix_file->filename)); delete posix_file; }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
const int in_flight_nodes_limit) : status_(TF_NewStatus()), // If the context's default exector is set to async, re-using that in // each thread would cause collectives to deadlock. For consistency we // create a new sync executor for every thread. // // TODO(allenl): We should have an async API that works with the // parallel device.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/c_api_distributed_test.cc
tensorflow::FunctionDef def; CHECK(tensorflow::protobuf::TextFormat::ParseFromString( VariableAddFunctionSignature(), &def)); return def.SerializeAsString(); } // A graph optimization pass that would fail when triggered for more than once. class GraphErrorInjectionPass : public tensorflow::GraphOptimizationPass { public: static bool enabled_; GraphErrorInjectionPass() {} tensorflow::Status Run(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
// `gradient_checker` only works with model that returns only 1 tensor. // Although, `ops::SparseSoftmaxCrossEntropyWithLogits` returns 2 tensors, the // second tensor isn't needed for computing gradient so we could safely drop // it. outputs[0] = loss; backprop->Unref(); return absl::OkStatus(); } Status BiasAddModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
tensorflow::unwrap(h); // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here. if (tensorflow::CustomDeviceTensorHandle::classof(unwrapped_handle)) { return tensorflow::down_cast<tensorflow::CustomDeviceTensorHandle*>( unwrapped_handle) ->DevicePointer(); } // TODO(b/175427838): It would be nice to be able to use tensorflow::isa here.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2)