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Results 1 - 8 of 8 for FunctionLibraryRuntime (0.34 sec)
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tensorflow/compiler/jit/compilability_check_util.h
UncompilableNodesMap FindUncompilableNodes( const Node& node, FunctionLibraryRuntime* lib_runtime, const std::vector<StackFrame>* node_stack_trace = nullptr) const; // Returns true if `node` can be compiled by XLA. bool IsCompilableNode(const Node& node, FunctionLibraryRuntime* lib_runtime) const { std::vector<StackFrameView> stack_trace;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 14.9K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_platform_info.cc
std::move(persistor_config), compilation_device_type), std::make_unique<PjRtDeviceCompilerClient>(pjrt_client)); } absl::StatusOr<std::optional<std::set<int>>> GetAllowedGpus( FunctionLibraryRuntime* flr) { std::optional<std::set<int>> gpu_ids = std::nullopt; if (flr->config_proto()) { string allowed_gpus = flr->config_proto()->gpu_options().visible_device_list();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 17:23:27 UTC 2024 - 17.4K bytes - Viewed (0) -
tensorflow/compiler/jit/compilability_check_util.cc
} Status GetBodyAndConstantsAndResources(FunctionLibraryRuntime* flr, const NameAttrList& function, const FunctionBody** fbody, std::vector<int>* constant_arg_indices, std::vector<int>* resource_arg_indices) { FunctionLibraryRuntime::Handle handle; TF_RETURN_IF_ERROR(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 30.3K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_cluster_util.cc
Status GetNodesRelatedToRefVariablesInDirection( const Graph& graph, FunctionLibraryRuntime* lib_runtime, Direction direction, int depth, absl::flat_hash_set<Node*>* result); absl::StatusOr<bool> DoesAnyCalleeHaveRefNodes( const CallTargetListTy& call_target_list, FunctionLibraryRuntime* lib_runtime, Direction direction, int depth) { const int kMaxDepth = 10;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 29 08:39:39 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/jit/get_compiler_ir.cc
std::string device_name; if (!platform_name.empty()) { device_name = absl::StrCat("/device:", platform_name, ":0"); } FunctionLibraryRuntime* flr = pflr->GetFLR(device_name); if (flr == nullptr) { // Use CPU as the fallback to get the `FunctionLibraryRuntime`. flr = pflr->GetFLR("/device:CPU:0"); } TF_ASSIGN_OR_RETURN( std::vector<XlaCompiler::Argument> args,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 06:59:07 UTC 2024 - 19K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_cluster_util_test.cc
std::unique_ptr<ProcessFunctionLibraryRuntime> pflr( new ProcessFunctionLibraryRuntime( nullptr, Env::Default(), /*config=*/nullptr, TF_GRAPH_DEF_VERSION, flib_def, OptimizerOptions{})); FunctionLibraryRuntime* lib_runtime = pflr->GetFLR(ProcessFunctionLibraryRuntime::kDefaultFLRDevice); TF_ASSIGN_OR_RETURN(absl::flat_hash_set<Node*> nodes_related_to_ref_vars,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 10.8K bytes - Viewed (0) -
tensorflow/compiler/jit/partially_decluster_pass.cc
OptimizerOptions opts; auto pflr = std::make_unique<ProcessFunctionLibraryRuntime>( nullptr, env, /*config=*/nullptr, TF_GRAPH_DEF_VERSION, flib_def, opts); FunctionLibraryRuntime* lib_runtime = pflr->GetFLR(ProcessFunctionLibraryRuntime::kDefaultFLRDevice); TF_RETURN_IF_ERROR(BackwardsConstAnalysis(*graph, nullptr, &compile_time_const_nodes,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 11:36:41 UTC 2024 - 15.7K bytes - Viewed (0) -
tensorflow/compiler/jit/compilability_check_util_test.cc
return std::make_unique<RecursiveCompilabilityChecker>(op_filter_, device_type_); } FunctionLibraryRuntime* GetFunctionLibraryRuntime() { OptimizerOptions opts; pflr_ = std::make_unique<ProcessFunctionLibraryRuntime>( nullptr, Env::Default(), /*config=*/nullptr, TF_GRAPH_DEF_VERSION,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jun 10 12:32:39 UTC 2022 - 22.3K bytes - Viewed (0)