//
// Returns a TF_Buffer. The memory pointed to by the result is owned by
// lib_handle. The data in the buffer will be the serialized OpList proto for
// ops defined in the library.
TF_CAPI_EXPORT extern TF_Buffer TF_GetOpList(TF_Library* lib_handle);

// Frees the memory associated with the library handle.
// Does NOT unload the library.

### Arbeitsspeicher pro Prozess { #memory-per-process }

Wenn das Programm nun Dinge in den Arbeitsspeicher lädt, zum Beispiel ein Modell für maschinelles Lernen in einer Variablen oder den Inhalt einer großen Datei in einer Variablen, verbraucht das alles **einen Teil des Arbeitsspeichers (RAM – Random Access Memory)** des Servers.

              .addTrustedCertificate((X509Certificate) isgCertificate)
              // Uncomment to allow connection to any site generally, but will cause
              // noticeable memory pressure in Android apps.
//              .addPlatformTrustedCertificates()
              .build();

      builder.sslSocketFactory(certificates.sslSocketFactory(), certificates.trustManager());
    }

//     in `input_shapes`.
//
// The results are returned in `output_shapes` and
// `output_resource_shapes_and_types`. The caller is responsible for freeing the
// memory in these buffers by calling `TF_DeleteShapeAndTypeList`.
TF_CAPI_EXPORT extern void TFE_InferShapes(
    TFE_Op* op, TF_ShapeAndTypeList* input_shapes, TF_Tensor** input_tensors,
    TF_ShapeAndTypeList* input_tensor_as_shapes,

  public abstract HashCode hashBytes(byte[] input, int off, int len);

  @Override
  public HashCode hashBytes(ByteBuffer input) {
    return newHasher(input.remaining()).putBytes(input).hash();
  }

  /** In-memory ByteBuffer-based implementation of {@link Hasher}. */
  private final class ByteBufferHasher extends AbstractHasher {
    ByteBuffer buffer;

    ByteBufferHasher(int expectedInputSize) {

 * [Flipper](https://fbflipper.com/): A desktop debugging platform for mobile developers.
 * [Fresco](https://github.com/facebook/fresco): An Android library for managing images and the memory they use.
 * [Glide](https://github.com/bumptech/glide): An image loading and caching library for Android focused on smooth scrolling.

                valueType = null;
            }
            helper.setProperty(bean, propertyName, valueType, element);
        }
    }

    /**
     * Clear all caches. Useful for testing or memory management.
     */
    public static void clearCaches() {
        EXPRESSION_CACHE.clear();
        EnhancedCompositeBeanHelper.clearCaches();
    }

 * offering expected O(n + k log k) performance (worst case O(n log k)) for n calls to {@link
 * #offer} and a call to {@link #topK}, with O(k) memory. In comparison, quickselect has the same
 * asymptotics but requires O(n) memory, and a {@code PriorityQueue} implementation takes O(n log
 * k). In benchmarks, this implementation performs at least as well as either implementation, and

    `tf.raw_ops.DataFormatDimMap` which can cause uninitialized memory access,
    read outside bounds of arrays, data corruption and segmentation faults
    ([CVE-2020-26267](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26267))
*   Fixes a crash caused by writing to read only memory region
    ([CVE-2020-26268](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-26268))

 * <p>This class should not be assumed to be universally superior to {@code java.util.HashMap}.
 * Generally speaking, this class reduces object allocation and memory consumption at the price of
 * moderately increased constant factors of CPU. Only use this class when there is a specific reason
 * to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 * @author Jon Noack
 */
@GwtIncompatible // not worth using in GWT for now