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Results 1 - 4 of 4 for funcOutput (0.32 sec)

  1. src/cmd/cover/func.go

    	"errors"
    	"fmt"
    	"go/ast"
    	"go/parser"
    	"go/token"
    	"io"
    	"os"
    	"os/exec"
    	"path"
    	"path/filepath"
    	"runtime"
    	"strings"
    	"text/tabwriter"
    
    	"golang.org/x/tools/cover"
    )
    
    // funcOutput takes two file names as arguments, a coverage profile to read as input and an output
    // file to write ("" means to write to standard output). The function reads the profile and produces
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon May 02 17:49:12 UTC 2022
    - 6.3K bytes
    - Viewed (0)
  2. src/cmd/cover/cover.go

    	if *mode != "" {
    		annotate(flag.Args())
    		return
    	}
    
    	// Output HTML or function coverage information.
    	if *htmlOut != "" {
    		err = htmlOutput(profile, *output)
    	} else {
    		err = funcOutput(profile, *output)
    	}
    
    	if err != nil {
    		fmt.Fprintf(os.Stderr, "cover: %v\n", err)
    		os.Exit(2)
    	}
    }
    
    // parseFlags sets the profile and counterStmt globals and performs validations.
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Tue May 14 19:41:17 UTC 2024
    - 34.5K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/experimental/common/outline_operations.cc

      ops_added.call_op = call_op;
      // FuncOutputs refer to the original `Values` in input module which are now
      // invalid after pulling out the defining ops. The values in
      // `call_ops.getResult` refer to the clones of original `Values` which are now
      // returned by the new `FuncOp`. We can replace each in `FuncOutputs` with
      // clone in `call_op` to fix up.
      for (int i = 0; i < subgraph.FuncOutputs().size(); ++i) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 8.5K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/experimental/common/outline_operations.h

        // `Value`s in MLIR library are implemented as having "value semantics"
        // see "llvm/llvm-project/mlir/include/mlir/IR/Value.h" so copying is fine.
        return func_arguments_;
      }
      const llvm::SmallVector<Value>& FuncOutputs() const { return func_outputs_; }
    
     private:
      // Compute once at construction and save as field.
      const llvm::SmallVector<Value> func_arguments_;
      const llvm::SmallVector<Value> func_outputs_;
    };
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Nov 17 18:49:43 UTC 2022
    - 6K bytes
    - Viewed (0)
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