The same models are shared among requests, so, it's not one model per request, or one per user or something similar.

Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.

    }
    public synchronized int read( byte[] b ) throws IOException {
        return read( b, 0, b.length );
    }

    /* This method will not return until len bytes have been read
     * or the stream has been closed.
     */

    public synchronized int read( byte[] b, int off, int len ) throws IOException {
        if( len == 0 ) {
            return 0;
        }
        tot = 0;

        while( true ) {

import org.apache.maven.api.model.Model;

/**
 * Collects problems that are encountered during model building. The primary purpose of this component is to account for
 * the fact that the problem reporter has/should not have information about the calling context and hence cannot provide
 * an expressive source hint for the model problem. Instead, the source hint is configured by the model builder before

     * Gets the build summary for the specified project.
     *
     * @param project The project to get the build summary for, must not be {@code null}.
     * @return The build summary for the project or {@code null} if the project has not been built (yet).
     */
    BuildSummary getBuildSummary(MavenProject project);

    /**
     * Add the specified build summary.
     *
     * @param summary The build summary to add, must not be {@code null}.

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# Currently pybind extension shared objects must use only C API headers since
# the C API has static initializers duplicated in the Python bindings. So we
# need a second rule that omits .cc files, in
# tensorflow/python:_pywrap_parallel_device.
filegroup(
    name = "lib_headers",
    srcs = ["parallel_device_lib.h"],

    source /tf/venv/bin/activate
    python3 -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
}

# Is this still useful?
@test "TensorFlow has Keras" {
    source /tf/venv/bin/activate
    python3 -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

- Based on https://github.com/oguzbilgic/fpd, which has the following license:
"""
The MIT License (MIT)

Copyright (c) 2013 Oguz Bilgic

Permission is hereby granted, free of charge, to any person obtaining a copy of

## Dependencies

### Added
_Nothing has changed._

### Changed
_Nothing has changed._

### Removed
_Nothing has changed._



# v1.25.15


## Downloads for v1.25.15



### Source Code

filename | sha512 hash
-------- | -----------

 * is used to verify the signature of the "www.squareup.com" certificate.
 *
 * This roles are reversed for client authentication. In that case the client has a private key and
 * a chain of certificates. The server uses a set of trusted root certificates to authenticate the
 * client. Subject alternative names are not used for client authentication.
 */
@Suppress("DEPRECATION")

                request.isResolveManagedVersions(),
                request.getLocalRepository(),
                request.getRemoteRepositories());

        if (cached != null
                // if the POM has no file, we cached a missing artifact, only return the cached data if no update forced
                && (!request.isForceUpdate() || hasFile(cached.getPomArtifact()))) {
            return cached;
        }