Home
last modified time | relevance | path

Searched +full:node +full:- +full:int64 (Results 1 – 25 of 1074) sorted by relevance

12345678910>>...43

/aosp_15_r20/prebuilts/go/linux-x86/src/cmd/vendor/github.com/google/pprof/internal/graph/
Dgraph.go7 // http://www.apache.org/licenses/LICENSE-2.0
33 …javaRegExp = regexp.MustCompile(`^(?:[a-z]\w*\.)*([A-Z][\w\$]*\.(?:<init>|[a-z][\w\$]*(?:\$\d+)?))…
36 goRegExp = regexp.MustCompile(`^(?:[\w\-\.]+\/)+([^.]+\..+)`)
38 goVerRegExp = regexp.MustCompile(`^(.*?)/v(?:[2-9]|[1-9][0-9]+)([./].*)$`)
42 // -symbolize=demangle=templates flag is used, they will not be.
44 …cppRegExp = regexp.MustCompile(`^(?:[_a-zA-Z]\w*::)+(_*[A-Z]\w*::~?[_a-zA-Z]\w*(?:<…
56 SampleValue func(s []int64) int64 // Function to compute the value of a sample
57 …SampleMeanDivisor func(s []int64) int64 // Function to compute the divisor for mean graphs, o…
58 FormatTag func(int64, string) string // Function to format a sample tag value into a string
65 KeptNodes NodeSet // If non-nil, only use nodes in this set
[all …]
/aosp_15_r20/prebuilts/go/linux-x86/src/internal/profile/
Dgraph.go7 // http://www.apache.org/licenses/LICENSE-2.0
28 SampleValue func(s []int64) int64 // Function to compute the value of a sample
29 SampleMeanDivisor func(s []int64) int64 // Function to compute the divisor for mean graphs, or nil
33 KeptNodes NodeSet // If non-nil, only use nodes in this set
37 type Nodes []*Node
39 // Node is an entry on a profiling report. It represents a unique
41 type Node struct { struct
42 // Info describes the source location associated to this node.
45 // Function represents the function that this node belongs to. On
46 // graphs with sub-function resolution (eg line number or
[all …]
/aosp_15_r20/external/tensorflow/tensorflow/core/framework/
H A Dmodel.proto8 // Class of a node in the performance model.
31 // General representation of a node in the model.
32 message Node { message
33 // Unique node ID.
34 int64 id = 1;
36 // Human-readable name of the node.
39 // An indication whether autotuning is enabled for this node.
42 // The number of bytes stored in this node's buffer.
43 int64 buffered_bytes = 4;
45 // The number of elements stored in this node's buffer.
[all …]
H A Dstep_stats.proto14 // An allocation/de-allocation operation performed by the allocator.
17 int64 alloc_micros = 1;
18 // Number of bytes allocated, or de-allocated if negative.
19 int64 alloc_bytes = 2;
24 // These are per-node allocator memory stats.
25 int64 total_bytes = 2;
26 int64 peak_bytes = 3;
28 int64 live_bytes = 4;
34 int64 allocator_bytes_in_use = 5;
37 // Output sizes recorded for a single execution of a graph node.
[all …]
/aosp_15_r20/external/tensorflow/tensorflow/core/profiler/
H A Dtfprof_output.proto10 // Flatten tensor in row-major.
13 repeated int64 value_int64 = 3;
17 // A node in TensorFlow graph. Used by scope/graph view.
24 // A node can be defined once but run multiple times in tf.while_loop.
26 int64 run_count = 21;
27 int64 exec_micros = 2;
28 int64 accelerator_exec_micros = 17;
29 int64 cpu_exec_micros = 18;
32 int64 requested_bytes = 3;
34 int64 peak_bytes = 24;
[all …]
H A Dtfprof_log.proto14 int64 file_id = 6;
19 int64 function_id = 7;
22 int64 line_id = 8;
34 int64 float_ops = 2;
47 map<int64, string> id_to_string = 2;
55 map<int64, ProfileNode> nodes = 1;
62 repeated int64 steps = 3;
66 map<int64, string> id_to_string = 4;
70 // graph node name.
74 // A unique id for the node.
[all …]
/aosp_15_r20/prebuilts/go/linux-x86/src/cmd/compile/internal/compare/
Dcompare.go2 // Use of this source code is governed by a BSD-style
24 // Memrun finds runs of struct fields for which memory-only algs are appropriate.
28 func Memrun(t *types.Type, start int) (size int64, next int) {
36 if types.IsPaddedField(t, next-1) {
39 // Also, stop before a blank or non-memory field.
47 if off := t.Field(start).Offset; off&(align-1) != 0 {
52 size := t.Field(next).End() - t.Field(start).Offset
58 return t.Field(next-1).End() - t.Field(start).Offset, next
85 // memory-only fields in the struct.
86 func EqStructCost(t *types.Type) int64 {
[all …]
/aosp_15_r20/prebuilts/go/linux-x86/src/cmd/compile/internal/walk/
Dcompare.go2 // Use of this source code is governed by a BSD-style
23 func fakePC(n ir.Node) ir.Node { argument
25 // in the calculation of the fakePC for the IR node.
30 binary.Write(hash, binary.LittleEndian, int64(n.Pos().Line()))
31 binary.Write(hash, binary.LittleEndian, int64(n.Pos().Col()))
32 …// We also include the string representation of the node to distinguish autogenerated expression s…
36 return ir.NewInt(base.Pos, int64(hash.Sum32()))
42 func walkCompare(n *ir.BinaryExpr, init *ir.Nodes) ir.Node {
55 // rewrite into types-equal && data-equal.
62 // Preserve side-effects in case of short-circuiting; see #32187.
[all …]
Dswitch.go2 // Use of this source code is governed by a BSD-style
30 return // Was fatal, but eliminating every possible source of double-walking is hard
57 // with all cases being side-effect free,
58 // use a zero-cost alias of the byte slice.
80 var defaultGoto ir.Node
95 var rtype ir.Node
128 exprname ir.Node // value being switched on
136 lo, hi ir.Node
137 rtype ir.Node // *runtime._type for OEQ node
138 jmp ir.Node
[all …]
Dselect.go2 // Use of this source code is governed by a BSD-style
33 func walkSelectCases(cases []*ir.CommClause) []ir.Node {
37 // optimization: zero-case select
39 return []ir.Node{mkcallstmt("block")}
42 // optimization: one-case select: single op.
99 // optimization: two-case select but one is default: single non-blocking op.
110 var cond ir.Node
132 as := ir.NewAssignListStmt(r.Pos(), ir.OAS2, []ir.Node{cond, n.Lhs[1]}, []ir.Node{call})
139 return []ir.Node{r, ir.NewBranchStmt(base.Pos, ir.OBREAK, nil)}
143 ncas--
[all …]
/aosp_15_r20/out/soong/.intermediates/external/tensorflow/tensorflow_core_proto_cpp_lite/android_arm64_armv8-2a_cortex-a55_static_apex33/gen/proto/tensorflow/core/framework/
Dmodel.pb.h45 // Internal implementation detail -- do not use these members.
134 … /* @@protoc_insertion_point(class_definition:tensorflow.data.model.ModelProto.Node.Parameter) */ {
182 GetOwningArena() == other->GetOwningArena()) { in Swap()
184 if (GetOwningArena() == other->GetOwningArena()) { in Swap()
193 GOOGLE_DCHECK(GetOwningArena() == other->GetOwningArena()); in Swap()
197 // implements Message ---------------------------------------------- in Swap()
226 return "tensorflow.data.model.ModelProto.Node.Parameter"; in Swap()
235 // nested types ---------------------------------------------------- in Swap()
237 // accessors ------------------------------------------------------- in Swap()
306 // @@protoc_insertion_point(class_scope:tensorflow.data.model.ModelProto.Node.Parameter) in Swap()
[all …]
Dcost_graph.pb.cc31 union { // NOLINT(misc-non-private-member-variables-in-classes)
47 union { // NOLINT(misc-non-private-member-variables-in-classes)
76 union { // NOLINT(misc-non-private-member-variables-in-classes)
90 union { // NOLINT(misc-non-private-member-variables-in-classes)
104 union { // NOLINT(misc-non-private-member-variables-in-classes)
122 // @@protoc_insertion_point(arena_constructor:tensorflow.CostGraphDef.Node.InputInfo) in CostGraphDef_Node_InputInfo()
134 static_cast<size_t>(reinterpret_cast<char*>(&_impl_.preceding_port_) - in CostGraphDef_Node_InputInfo()
136 // @@protoc_insertion_point(copy_constructor:tensorflow.CostGraphDef.Node.InputInfo) in CostGraphDef_Node_InputInfo()
151 // @@protoc_insertion_point(destructor:tensorflow.CostGraphDef.Node.InputInfo) in ~CostGraphDef_Node_InputInfo()
168 // @@protoc_insertion_point(message_clear_start:tensorflow.CostGraphDef.Node.InputInfo) in Clear()
[all …]
Dmodel.pb.cc37 union { // NOLINT(misc-non-private-member-variables-in-classes)
67 union { // NOLINT(misc-non-private-member-variables-in-classes)
78 union { // NOLINT(misc-non-private-member-variables-in-classes)
94 union { // NOLINT(misc-non-private-member-variables-in-classes)
110 union { // NOLINT(misc-non-private-member-variables-in-classes)
158 5, // 0 -> UNKNOWN
159 3, // 1 -> INTERLEAVE_MANY
160 0, // 2 -> ASYNC_INTERLEAVE_MANY
161 4, // 3 -> KNOWN_RATIO
162 1, // 4 -> ASYNC_KNOWN_RATIO
[all …]
Dcost_graph.pb.h43 // Internal implementation detail -- do not use these members.
76 …ssageLite /* @@protoc_insertion_point(class_definition:tensorflow.CostGraphDef.Node.InputInfo) */ {
124 GetOwningArena() == other->GetOwningArena()) { in Swap()
126 if (GetOwningArena() == other->GetOwningArena()) { in Swap()
135 GOOGLE_DCHECK(GetOwningArena() == other->GetOwningArena()); in Swap()
139 // implements Message ---------------------------------------------- in Swap()
168 return "tensorflow.CostGraphDef.Node.InputInfo"; in Swap()
177 // nested types ---------------------------------------------------- in Swap()
179 // accessors ------------------------------------------------------- in Swap()
203 // @@protoc_insertion_point(class_scope:tensorflow.CostGraphDef.Node.InputInfo) in Swap()
[all …]
/aosp_15_r20/external/perfetto/protos/perfetto/trace/android/
H A Dcamera_event.proto8 * http://www.apache.org/licenses/LICENSE-2.0
32 optional int64 frame_number = 3;
38 optional int64 request_id = 4;
44 optional int64 request_received_ns = 5;
48 optional int64 request_processing_started_ns = 6;
51 optional int64 start_of_exposure_ns = 7;
54 optional int64 start_of_frame_ns = 8;
57 optional int64 responses_all_sent_ns = 9;
87 // A profiling event corresponding to a single node processing within the camera
92 optional int64 node_id = 1;
[all …]
/aosp_15_r20/external/deqp-deps/glslang/glslang/MachineIndependent/
DintermOut.cpp2 // Copyright (C) 2002-2005 3Dlabs Inc. Ltd.
3 // Copyright (C) 2012-2016 LunarG, Inc.
4 // Copyright (C) 2017, 2022-2024 Arm Limited.
62 // Use this class to carry along data from node to node in
75 virtual bool visitBinary(TVisit, TIntermBinary* node);
76 virtual bool visitUnary(TVisit, TIntermUnary* node);
77 virtual bool visitAggregate(TVisit, TIntermAggregate* node);
78 virtual bool visitSelection(TVisit, TIntermSelection* node);
79 virtual void visitConstantUnion(TIntermConstantUnion* node);
80 virtual void visitSymbol(TIntermSymbol* node);
[all …]
/aosp_15_r20/external/swiftshader/third_party/llvm-10.0/llvm/lib/IR/
H A DMDBuilder.cpp1 //===---- llvm/MDBuilder.cpp - Builder for LLVM metadata ------------------===//
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
7 //===----------------------------------------------------------------------===//
12 //===----------------------------------------------------------------------===//
70 SmallVector<GlobalValue::GUID, 2> OrderID(Imports->begin(), Imports->end()); in createFunctionEntryCount()
112 Type *Int64 = Type::getInt64Ty(Context); in createCallbackEncoding() local
113 Ops.push_back(createConstant(ConstantInt::get(Int64, CalleeArgNo))); in createCallbackEncoding()
116 Ops.push_back(createConstant(ConstantInt::get(Int64, ArgNo, true))); in createCallbackEncoding()
129 auto *NewCBCalleeIdxAsCM = cast<ConstantAsMetadata>(NewCB->getOperand(0)); in mergeCallbackEncodings()
131 cast<ConstantInt>(NewCBCalleeIdxAsCM->getValue())->getZExtValue(); in mergeCallbackEncodings()
[all …]
/aosp_15_r20/external/googleapis/google/cloud/automl/v1/
H A Dimage.proto7 // http://www.apache.org/licenses/LICENSE-2.0
50 // Optional. The train budget of creating this model, expressed in milli node
51 // hours i.e. 1,000 value in this field means 1 node hour. The actual
57 // and 800,000 milli node hours, inclusive. The default value is 192, 000
59 // `mobile-low-latency-1`, `mobile-versatile-1`, `mobile-high-accuracy-1`,
60 // `mobile-core-ml-low-latency-1`, `mobile-core-ml-versatile-1`,
61 // `mobile-core-ml-high-accuracy-1`, the train budget must be between 1,000
62 // and 100,000 milli node hours, inclusive. The default value is 24, 000 which
64 int64 train_budget_milli_node_hours = 16 [(google.api.field_behavior) = OPTIONAL];
67 // milli node hours, i.e. 1,000 value in this field means 1 node hour.
[all …]
/aosp_15_r20/external/google-cloud-java/java-automl/proto-google-cloud-automl-v1/src/main/proto/google/cloud/automl/v1/
H A Dimage.proto7 // http://www.apache.org/licenses/LICENSE-2.0
50 // Optional. The train budget of creating this model, expressed in milli node
51 // hours i.e. 1,000 value in this field means 1 node hour. The actual
57 // and 800,000 milli node hours, inclusive. The default value is 192, 000
59 // `mobile-low-latency-1`, `mobile-versatile-1`, `mobile-high-accuracy-1`,
60 // `mobile-core-ml-low-latency-1`, `mobile-core-ml-versatile-1`,
61 // `mobile-core-ml-high-accuracy-1`, the train budget must be between 1,000
62 // and 100,000 milli node hours, inclusive. The default value is 24, 000 which
64 int64 train_budget_milli_node_hours = 16 [(google.api.field_behavior) = OPTIONAL];
67 // milli node hours, i.e. 1,000 value in this field means 1 node hour.
[all …]
/aosp_15_r20/prebuilts/go/linux-x86/src/text/template/parse/
Dnode.go2 // Use of this source code is governed by a BSD-style
17 // A Node is an element in the parse tree. The interface is trivial.
20 type Node interface { interface
23 // Copy does a deep copy of the Node and all its components.
26 Copy() Node
27 Position() Pos // byte position of start of node in full original input string
29 // It is unexported so all implementations of Node are in this package.
35 // NodeType identifies the type of a parse tree node.
47 // for embedding in a Node. Embedded in all non-trivial Nodes.
54 NodeAction // A non-control action such as a field evaluation.
[all …]
/aosp_15_r20/prebuilts/go/linux-x86/src/cmd/vendor/github.com/google/pprof/internal/report/
Dreport.go7 // http://www.apache.org/licenses/LICENSE-2.0
16 // human-readable report.
72 SampleValue func(s []int64) int64
73 SampleMeanDivisor func(s []int64) int64
137 nodeCutoff := abs64(int64(float64(totalValue) * o.NodeFraction))
138 edgeCutoff := abs64(int64(float64(totalValue) * o.EdgeFraction))
144 droppedNodes = len(g.Nodes) - len(nodesKept)
149 droppedNodes = len(g.Nodes) - len(nodesKept)
190 // Find the appropriate units for the smallest non-zero sample
194 var minValue int64
[all …]
/aosp_15_r20/external/tensorflow/tensorflow/core/profiler/internal/
H A Dtfprof_timeline.cc7 http://www.apache.org/licenses/LICENSE-2.0
50 event["pid"] = Json::Int64(pid); in CreateEvent()
51 event["tid"] = Json::Int64(tid); in CreateEvent()
52 event["ts"] = Json::Int64(ts); in CreateEvent()
60 event["pid"] = Json::Int64(pid); in EmitPID()
71 event["dur"] = Json::Int64(duration); in EmitRegion()
80 event["id"] = Json::Int64(flow_id); in EmitFlowStart()
88 event["id"] = Json::Int64(flow_id); in EmitFlowEnd()
98 args["Allocator Bytes in Use"] = Json::Int64(bytes); in EmitCounter()
113 for (const string& t : it->second) { in EmitCounter()
[all …]
/aosp_15_r20/external/googleapis/google/cloud/dataproc/v1/
H A Dshared.proto7 // http://www.apache.org/licenses/LICENSE-2.0
89 // [Duration](https://developers.google.com/protocol-buffers/docs/proto3#json)).
100 // [Duration](https://protobuf.dev/programming-guides/proto3/#json).
118 // workload is running, and then create and manage project-level, per-location
170 // (https://cloud.google.com/dataproc-serverless/pricing)).
176 // (https://cloud.google.com/dataproc-serverless/docs/release-notes)
190 // (https://cloud.google.com/dataproc-serverless/pricing)).
191 int64 milli_dcu_seconds = 1 [(google.api.field_behavior) = OPTIONAL];
195 // (https://cloud.google.com/dataproc-serverless/pricing)).
196 int64 shuffle_storage_gb_seconds = 2 [(google.api.field_behavior) = OPTIONAL];
[all …]
/aosp_15_r20/external/pytorch/torch/onnx/
H A Dsymbolic_helper.py1 # mypy: allow-untyped-defs
17 # Monkey-patch graph manipulation methods on Graph, used for the ONNX symbolics
30 # ---------------------------------------------------------------------------------
32 # ---------------------------------------------------------------------------------
58 node = value.node()
59 if node.mustBeNone():
61 if node.kind() == "onnx::Constant":
62 node_val = _node_get(node, "value")
79 f"ONNX symbolic does not understand the Constant node '{node}' "
83 elif node.kind() == "prim::ListConstruct":
[all …]
/aosp_15_r20/external/googleapis/google/cloud/automl/v1beta1/
H A Dimage.proto7 // http://www.apache.org/licenses/LICENSE-2.0
51 int64 train_budget = 2;
56 int64 train_cost = 3;
63 // * `cloud` - Model to be used via prediction calls to AutoML API.
65 // * `mobile-low-latency-1` - A model that, in addition to providing
70 // * `mobile-versatile-1` - A model that, in addition to providing
74 // * `mobile-high-accuracy-1` - A model that, in addition to providing
80 // * `mobile-core-ml-low-latency-1` - A model that, in addition to providing
85 // * `mobile-core-ml-versatile-1` - A model that, in addition to providing
89 // * `mobile-core-ml-high-accuracy-1` - A model that, in addition to
[all …]

12345678910>>...43