# Download the Visual Studio 2022 Installer.
RUN (New-Object Net.WebClient).DownloadFile('https://aka.ms/vs/17/release/vs_community.exe', 'C:\TEMP\vs_community.exe');
# Install Visual Studio 2022 Build Tools + Compiler
SHELL ["cmd", "/S", "/C"]
# Packages, and component versions, can be found here:
# https://learn.microsoft.com/en-us/visualstudio/install/workload-component-id-vs-build-tools
RUN C:\TEMP\vs_community.exe \

        Model parent = getModel(baseName + "-parent");

        Model child = getModel(baseName + "-child");

        if (fromRepo) {
            // when model is read from repo, a stream is used, then pomFile == null
            // (has consequences in inheritance algorithm since getProjectDirectory() returns null)
            parent = parent.clone();
            parent.setPomFile(null);
            child = child.clone();

        Map<String, PluginUpgradeInfo> upgrades = new HashMap<>();
        upgrades.put(
                DEFAULT_MAVEN_PLUGIN_GROUP_ID + ":maven-compiler-plugin",
                new PluginUpgradeInfo(DEFAULT_MAVEN_PLUGIN_GROUP_ID, "maven-compiler-plugin", "3.2"));
        upgrades.put(
                "org.codehaus.mojo:exec-maven-plugin",

# to tensorflow/ which does have these two directories.
try:
  del python
except NameError:
  pass
try:
  del core
except NameError:
  pass
try:
  del compiler
except NameError:
  pass

// of default zeros grads is handled by the `DefaultGradientFunction` registered
// for each op.
// TODO(srbs): We need to define `ZerosLike` here to keep the compiler happy.
// Figure out a way to avoid this.
// TODO(srbs): Should ZerosLike check-fail instead of returning nullptr?
class TapeTensor {
 public:
  explicit TapeTensor(AbstractTensorHandle* handle);

		<osgi.pkg.version>${parsedVersion.majorVersion}.${parsedVersion.minorVersion}.${parsedVersion.incrementalVersion}</osgi.pkg.version>
	</properties>
	<build>
		<plugins>
			<plugin>
				<artifactId>maven-compiler-plugin</artifactId>
				<version>3.14.0</version>
				<configuration>
					<source>17</source>
					<target>17</target>
					<encoding>UTF-8</encoding>
				</configuration>
			</plugin>
			<plugin>

pkg reflect, type Value struct
pkg reflect, type ValueError struct
pkg reflect, type ValueError struct, Kind Kind
pkg reflect, type ValueError struct, Method string
pkg regexp, func Compile(string) (*Regexp, error)
pkg regexp, func CompilePOSIX(string) (*Regexp, error)
pkg regexp, func Match(string, []uint8) (bool, error)
pkg regexp, func MatchReader(string, io.RuneReader) (bool, error)

# to tensorflow/ which does have these two directories.

try:
  del python
except NameError:
  pass
try:
  del core
except NameError:
  pass
try:
  del compiler
except NameError:
  pass

  virtual absl::Status RegisterCustomDevice(
      const string& name, std::unique_ptr<CustomDevice> device) = 0;

  // Return FunctionLibraryDefinition. Transformations need to use it to use it
  // to invoke MLIR compiler passes.
  virtual FunctionLibraryDefinition* FuncLibDef() = 0;

  // Resets the global rendezvous used for functions.
  virtual void ResetGlobalRendezvousForFunction() = 0;

compelled to copy the source along with the object code.

  5. A program that contains no derivative of any portion of the
Library, but is designed to work with the Library by being compiled or
linked with it, is called a "work that uses the Library".  Such a
work, in isolation, is not a derivative work of the Library, and
therefore falls outside the scope of this License.