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Results 1 - 10 of 12 for DeviceSet (0.22 sec)
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tensorflow/compiler/jit/device_util.cc
namespace tensorflow { namespace jit { void DeviceSet::Insert(DeviceId device_id) { int word_index = device_id.id() / kWordSize; int bit_index = device_id.id() % kWordSize; const int storage_size = storage_.size(); if (word_index >= storage_size) { storage_.resize(word_index + 1, 0); } storage_[word_index] |= (1ull << bit_index); } void DeviceSet::UnionWith(const DeviceSet& other) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 7.8K bytes - Viewed (0) -
tensorflow/compiler/jit/device_util.h
explicit DeviceId(int id) : id_(id) {} int id() const { return id_; } friend class DeviceInfoCache; friend class DeviceSet; }; // A set of DeviceIds, represented as a bitmap. class DeviceSet { public: void Insert(DeviceId device_id); void UnionWith(const DeviceSet& other); bool IsEmpty() const; // Calls `func` on each DeviceId in the set. Stops iterating early if `func` // return false.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 15 17:18:31 UTC 2024 - 7.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/mlir_graph_optimization_pass_test.cc
class MockMlirOptimizationPass : public MlirOptimizationPass { public: MOCK_METHOD(llvm::StringRef, name, (), (const, override)); MOCK_METHOD(MlirOptimizationPassState, GetPassState, (const DeviceSet* device_set, const ConfigProto& config_proto, const Graph& graph, const FunctionLibraryDefinition& function_library), (const, override)); MOCK_METHOD(Status, Run,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 08:25:30 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/jit/device_util_test.cc
namespace { Status PickDeviceHelper(bool allow_mixing_unknown_and_cpu, absl::Span<const absl::string_view> device_names, string* result) { jit::DeviceInfoCache cache; jit::DeviceSet device_set; for (absl::string_view name : device_names) { TF_ASSIGN_OR_RETURN(jit::DeviceId device_id, cache.GetIdFor(name)); device_set.Insert(device_id); } TF_ASSIGN_OR_RETURN(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/device_util.cc
} else { devices->AddDevice(device); } } return mlir::success(); } } // namespace void AddDevicesToOp(mlir::Operation* op, const DeviceSet* device_set) { if (!device_set) return; mlir::MLIRContext* ctx = op->getContext(); mlir::Builder builder(ctx); // Collect devices with attached metadata.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/integration/graph_decompose_pass.cc
"The number of graphs being op expanded."); } // namespace namespace tfr { MlirOptimizationPassState GraphDecomposePass::GetPassState( const DeviceSet* device_set, const ConfigProto& config_proto, const Graph& graph, const FunctionLibraryDefinition& function_library) const { const char* tfr_lib_env_val = getenv(std::string(kTFRLibEnv).c_str());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Feb 25 16:22:36 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/device_util_test.cc
#include "tensorflow/core/lib/core/status.h" #include "tensorflow/core/platform/test.h" #include "tensorflow/core/util/device_name_utils.h" namespace tensorflow { namespace { // A fake device used to populate a DeviceSet. class FakeDevice : public Device { public: explicit FakeDevice(const DeviceAttributes& device_attributes) : Device(nullptr, device_attributes) {}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/jit/increase_dynamism_for_auto_jit_pass_test.cc
std::vector<std::unique_ptr<Device>> devices; devices.push_back(FakeDevice::Make(kDeviceName, DEVICE_GPU)); devices.push_back(FakeDevice::Make(kHostName, DEVICE_CPU)); std::unique_ptr<DeviceSet> device_set(new DeviceSet()); for (auto& device : devices) { device_set->AddDevice(device.get()); } auto graph = std::make_unique<Graph>(OpRegistry::Global()); SessionOptions session_options;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 18.3K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
#include "tensorflow/core/public/version.h" #include "tensorflow/core/util/dump_graph.h" namespace tensorflow { namespace { using DeadnessPredicate = DeadnessAnalysis::DeadnessPredicate; using jit::DeviceId; using jit::DeviceSet; // The clusters we create here are eventually lowered into an // _XlaCompile/_XlaRun pair with a TF executor "fallback" that uses the // PartitionedCall op to execute the cluster in the regular graph executor if
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc
mlir::func::registerAllExtensions(registry); // clang-format on } Status MlirFunctionOptimizationPass::Run( const std::string& function_name, const DeviceSet& device_set, const ConfigProto& config_proto, const FunctionOptimizationPass::FunctionOptions& function_options, std::unique_ptr<Graph>* graph, FunctionLibraryDefinition* flib_def,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 22:19:26 UTC 2024 - 18.5K bytes - Viewed (0)