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src/cmd/vendor/github.com/google/pprof/internal/driver/html/graph.css
#graph { cursor: grab; } #graph:active { cursor: grabbing;
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 70 bytes - Viewed (0) -
src/cmd/vendor/github.com/google/pprof/internal/graph/graph.go
} // New summarizes performance data from a profile into a graph. func New(prof *profile.Profile, o *Options) *Graph { if o.CallTree { return newTree(prof, o) } g, _ := newGraph(prof, o) return g } // newGraph computes a graph from a profile. It returns the graph, and // a map from the profile location indices to the corresponding graph // nodes.
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 31K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tfg-to-tfe.cc
}); } class ConvertGraphOp : public OpConversionPattern<tfg::GraphOp> { public: using OpConversionPattern::OpConversionPattern; LogicalResult matchAndRewrite( tfg::GraphOp graph, OpAdaptor adaptor, ConversionPatternRewriter &rewriter) const final { Location loc = graph.getLoc(); // To keep the import-as-graph logic taken by TFG, we create `void func()`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 21.2K bytes - Viewed (0) -
src/cmd/vendor/github.com/google/pprof/internal/driver/html/graph.html
<!DOCTYPE html> <html> <head> <meta charset="utf-8"> <title>{{.Title}}</title> {{template "css" .}} {{template "graph_css" .}} </head> <body> {{template "header" .}} <div id="graph"> {{.HTMLBody}} </div> {{template "script" .}} <script>viewer(new URL(window.location.href), {{.Nodes}});</script> </body>
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 31 19:48:28 UTC 2024 - 334 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/merge_initializer_function_ops_to_main.cc
// the fetch values in the main GraphOp corresponding to the original fetch // values from `src_func_op`. Returns an empty vector when `src_func_op` is // empty. `main_func_op` must have a GraphOp. SmallVector<Value> CopyOpsToMainFunction(func::FuncOp src_func_op, func::FuncOp main_func_op) { GraphOp src_graph_op = GetGraphOpFromFuncOp(src_func_op); if (!src_graph_op) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:54:52 UTC 2024 - 15.3K bytes - Viewed (0) -
src/cmd/go/internal/envcmd/env_test.go
} if c > unicode.MaxASCII { t.Skipf("skipping %#q: contains a non-ASCII character %q", s, c) } if !unicode.IsGraphic(rune(c)) && !unicode.IsSpace(rune(c)) { t.Skipf("skipping %#q: contains non-graphic character %q", s, c) } if runtime.GOOS == "windows" && c == '\r' || c == '\n' { t.Skipf("skipping %#q on Windows: contains unescapable character %q", s, c) } } var b bytes.Buffer
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 16 14:34:32 UTC 2024 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/jit/shape_inference.cc
} } return absl::OkStatus(); } } // namespace Status InferShapes(Graph* graph, const std::map<int, InferredShape>& arg_shapes, const tensorflow::FunctionLibraryDefinition* fnlib_def, GraphShapeInfo* shape_info) { ShapeRefiner shape_refiner(graph->versions(), graph->op_registry()); shape_refiner.set_require_shape_inference_fns(false);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 00:41:19 UTC 2024 - 13K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/tf_executor_to_graph.cc
std::unique_ptr<Graph> graph; TF_RETURN_IF_ERROR(ConvertMlirToGraph(module, configs, &graph, &flib_def)); // If the entry function is exported to flib, then no graph is constructed. // Construct one in that case. if (configs.export_entry_func_to_flib) { graph = std::make_unique<Graph>(OpRegistry::Global()); TF_RETURN_IF_ERROR( graph->mutable_flib_def()->AddLibrary(std::move(flib_def)));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 23:04:51 UTC 2024 - 35.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/tf_dialect_to_executor.cc
// First, we need to convert from functional, to executor dialect. pm.addNestedPass<FuncOp>( mlir::CreateFunctionalToExecutorDialectConversionPass()); // Do a single pass to split the graph's single island op into an island per // op as expected by the following passes. pm.addNestedPass<FuncOp>(mlir::TF::CreateSplitIntoIslandPerOpPass()); pm.addNestedPass<FuncOp>(mlir::TFDevice::CreateReplicateToIslandPass(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 13 23:22:50 UTC 2024 - 6.8K bytes - Viewed (0) -
src/image/gif/writer.go
package gif import ( "bufio" "bytes" "compress/lzw" "errors" "image" "image/color" "image/color/palette" "image/draw" "internal/byteorder" "io" ) // Graphic control extension fields. const ( gcLabel = 0xF9 gcBlockSize = 0x04 ) var log2Lookup = [8]int{2, 4, 8, 16, 32, 64, 128, 256} func log2(x int) int { for i, v := range log2Lookup { if x <= v {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 21:38:09 UTC 2024 - 11.9K bytes - Viewed (0)