*funcref = legacyMount
	}
	return (*funcref)(source, target, fstype, flags, data)
}

func legacyMount(source string, target string, fstype string, flags uintptr, data string) (err error) {
	if needspace := 8 - len(fstype); needspace <= 0 {
		fstype = fstype[0:8]
	} else {
		fstype += "        "[0:needspace]
	}
	return mount_LE(target, source, fstype, uint32(flags), int32(len(data)), data)
}

	return t.BuildMode == BuildModeShared
}

func (t *Target) IsPlugin() bool {
	return t.BuildMode == BuildModePlugin
}

func (t *Target) IsInternal() bool {
	return t.LinkMode == LinkInternal
}

func (t *Target) IsExternal() bool {
	return t.LinkMode == LinkExternal
}

func (t *Target) IsPIE() bool {
	return t.BuildMode == BuildModePIE
}

func (t *Target) IsSharedGoLink() bool {

      }
    }
  }
  attr {
    key: "use_locking"
    value {
      b: false
    }
  }
}
versions {
  producer: 309
}

# Tests single target node with no pruning set. All nodes will remain in the
# graph and the target node is added to the graph fetch as a control.
#
# CHECK-LABEL: func @main
# CHECK-SAME:  control_outputs = "AssignAdd"
# CHECK-SAME:  inputs = ""
# CHECK-SAME:  outputs = ""

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:generate go run mkbuiltin.go

package typecheck

import "cmd/compile/internal/ir"

// Target is the package being compiled.

// RUN: tac-opt-all-backends -tfl-target-annotation='device-specs=GPU' %s -split-input-file -verify-diagnostics | FileCheck %s

func.func @testConv(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>) -> tensor<256x30x30x16xf32> {
  // CHECK: tac.device = "GPU", tac.inference_type = "FLOAT"

<?xml version="1.0"?>
<assembly>
	<id>targz</id>
	<formats>
		<format>tar.gz</format>
	</formats>

	<includeBaseDirectory>false</includeBaseDirectory>

	<componentDescriptors>
		<componentDescriptor>src/main/assemblies/common-bin.xml
		</componentDescriptor>
	</componentDescriptors>

// RUN: tac-opt-all-backends -tfl-raise-target-subgraphs %s -split-input-file | FileCheck %s
// RUN: tac-opt-all-backends -tfl-raise-target-subgraphs="skip-raise-cpu-ops=true" %s -split-input-file | FileCheck %s --check-prefixes=CHECK-SKIP-CPU
// RUN: tac-opt-all-backends -tfl-raise-target-subgraphs="ignore-inference-type=true" %s -split-input-file | FileCheck %s --check-prefixes=CHECK-IGNORE-INFERENCE-TYPE

module {
func.func @simpleWhile(%arg0: tensor<i32>) -> tensor<i32> {

dwq <******@****.***> 1711400865 +0800

	if len(targs) < n {
		targs2 := make([]Type, n)
		copy(targs2, targs)
		targs = targs2
	}
	// len(targs) == n

	// Continue with the type arguments we have. Avoid matching generic
	// parameters that already have type arguments against function arguments:
	// It may fail because matching uses type identity while parameter passing

	if len(targs) < n {
		targs2 := make([]Type, n)
		copy(targs2, targs)
		targs = targs2
	}
	// len(targs) == n

	// Continue with the type arguments we have. Avoid matching generic
	// parameters that already have type arguments against function arguments:
	// It may fail because matching uses type identity while parameter passing