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Results 1 - 10 of 111 for _retval (0.12 sec)
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tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/arg-retval-attrs.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 24 00:18:34 UTC 2023 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/jit/rearrange_function_argument_pass_test.cc
Output arg1 = ops::_Arg(s.WithOpName("arg1"), DT_RESOURCE, 1); Output arg2 = ops::_Arg(s.WithOpName("arg2"), DT_INT32, 2); auto ret0 = ops::_Retval(s.WithOpName("ret0"), arg1, 0); auto ret1 = ops::_Retval(s.WithOpName("ret1"), arg0, 1); auto ret2 = ops::_Retval(s.WithOpName("ret2"), arg2, 2); std::unique_ptr<Graph> g(new Graph(OpRegistry::Global())); TF_CHECK_OK(s.ToGraph(g.get()));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 09 11:36:41 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/jit/extract_outside_compilation_pass_test.cc
{ tensorflow::Scope s = tensorflow::Scope::NewRootScope(); Output arg = ops::_Arg(s.WithOpName("arg"), DT_INT32, 0); Output identity = ops::Identity(s.WithOpName("identity_true_fn"), arg); ops::_Retval retval(s.WithOpName("retval"), identity, 0); std::unique_ptr<Graph> g(new Graph(OpRegistry::Global())); TF_CHECK_OK(s.ToGraph(g.get())); auto node_name_image = g->BuildNodeNameIndex();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 41K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/legalize_tfg.mlir
// CHECK: tf_executor.island wraps "tf._Retval"(%outputs_0) {T = !tf_type.resource, _mlir_name = "func_call", index = 0 : i64} : (tensor<*x!tf_type.resource>) -> () %ctl_1 = _Retval(%test_func_name0) name("func_call") {T = !tf_type.resource, index = 0 : i64} : tensor<*x!tf_type.resource> // CHECK: tf_executor.fetch }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main_graph_mode.golden_summary
Clustered nodes: 2178 Unclustered nodes: 446 Number of clusters: 1 unclustered size 446 AssignAddVariableOp 2 Const 2 DivNoNan 1 Identity 1 NoOp 1 ReadVariableOp 2 VarHandleOp 435 _Retval 2 cluster 0 size 2178 Add 17 AddN 72 ArgMax 1 AssignAddVariableOp 1 AssignSubVariableOp 106 BiasAdd 1 BiasAddGrad 1 Cast 3 Const 357 Conv2D 53 Conv2DBackpropFilter 53 Conv2DBackpropInput 52
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 740 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/graph-as-function.pbtxt
value { type: DT_FLOAT } } } node { name: "rets_0" op: "_Retval" input: "identity" attr { key: "T" value { type: DT_FLOAT } } attr { key: "index" value { i: 0 } } } node { name: "rets_1" op: "_Retval" input: "statefulpartitionedcall" attr { key: "T" value {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 24 00:18:34 UTC 2023 - 5K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_compile_util.cc
TF_RETURN_IF_ERROR(status); graph->AddEdge(node, 0, main_node, i); } // Similarly with return values, create dummy _Retval nodes fed by `node`. for (int64_t i = 0, end = result_types.size(); i < end; ++i) { Node* node; string retval_name = absl::StrCat("_retval", i); Status status = NodeBuilder(retval_name, FunctionLibraryDefinition::kRetOp) .Input(main_node, i)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 09:53:30 UTC 2024 - 4.6K bytes - Viewed (0) -
tensorflow/compiler/jit/tests/keras_imagenet_main.golden_summary
Unclustered nodes: 606 Number of clusters: 2 unclustered size 606 AssignAddVariableOp 1 Const 108 DivNoNan 1 Identity 2 Merge 53 PlaceholderWithDefault 1 ReadVariableOp 2 Switch 1 _Arg 435 _Retval 2 cluster 0 size 1910 Add 16 AddN 71 ArgMax 1 AssignAddVariableOp 1 BiasAdd 1 BiasAddGrad 1 Cast 115 Const 407 Conv2D 53 Conv2DBackpropFilter 53 Conv2DBackpropInput 52 Equal 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 06 10:38:14 UTC 2023 - 874 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf_add.mlir
// CHECK-NEXT: name: "Add{{_.*_1}}" // CHECK-NEXT: op: "Add" // CHECK-NEXT: input: "input0" // CHECK-NEXT: input: "input1" // CHECK: node { // CHECK-NEXT: name: "Add" // CHECK-NEXT: op: "_Retval" // CHECK-NEXT: input: "Add{{_.*_1}}" // CHECK-NEXT: attr { // CHECK-NEXT: key: "T" // CHECK-NEXT: value { // CHECK-NEXT: type: DT_INT32 // CHECK-NEXT: } // CHECK-NEXT: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 17 22:54:55 UTC 2023 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/save_model.py
might become the name of Retval nodes as well (with an index suffix if there are multiple output tensors from one node). Since Retval nodes are not used in SavedModel, this function removes them and restore the names to the actual output tensors. Args: graph_def: the converted GraphDef. Returns: The GraphDef with Retval nodes removed and output tensor names restored.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 12.3K bytes - Viewed (0)