Examples with TF_Graph org.tensorflow.internal.c_api.TF_Graph used on opensource projects

Example 1 with TF_Graph

use of org.tensorflow.internal.c_api.TF_Graph in project djl by deepjavalibrary.

the class JavacppUtils method loadSavedModelBundle.

@SuppressWarnings({ "unchecked", "try" })
public static SavedModelBundle loadSavedModelBundle(String exportDir, String[] tags, ConfigProto config, RunOptions runOptions) {
    try (PointerScope ignored = new PointerScope()) {
        TF_Status status = TF_Status.newStatus();
        // allocate parameters for TF_LoadSessionFromSavedModel
        TF_SessionOptions opts = TF_SessionOptions.newSessionOptions();
        if (config != null) {
            BytePointer configBytes = new BytePointer(config.toByteArray());
            tensorflow.TF_SetConfig(opts, configBytes, configBytes.capacity(), status);
            status.throwExceptionIfNotOK();
        }
        TF_Buffer runOpts = TF_Buffer.newBufferFromString(runOptions);
        // load the session
        TF_Graph graphHandle = AbstractTF_Graph.newGraph().retainReference();
        TF_Buffer metaGraphDef = TF_Buffer.newBuffer();
        TF_Session sessionHandle = tensorflow.TF_LoadSessionFromSavedModel(opts, runOpts, new BytePointer(exportDir), new PointerPointer<>(tags), tags.length, graphHandle, metaGraphDef, status);
        status.throwExceptionIfNotOK();
        // handle the result
        try {
            return new SavedModelBundle(graphHandle, sessionHandle, MetaGraphDef.parseFrom(metaGraphDef.dataAsByteBuffer()));
        } catch (InvalidProtocolBufferException e) {
            throw new TensorFlowException("Cannot parse MetaGraphDef protocol buffer", e);
        }
    }
}