*TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

    }

    /**
     * Sets the file information class for the directory query
     *
     * @param fileInformationClass
     *            the fileInformationClass to set
     */
    public void setFileInformationClass(final byte fileInformationClass) {
        this.fileInformationClass = fileInformationClass;
    }

    /**
     * Sets the query flags for the directory enumeration
     *

    }

    private String registrationId;
    private byte[] contextHandle;

    /**
     * Gets the registration ID to unregister.
     *
     * @return the registration ID
     */
    public String getRegistrationId() {
        return registrationId;
    }

    /**
     * Sets the registration ID to unregister.
     *
     * @param registrationId the registration ID
     */

    }

    /**
     * Sets the prefix used to identify allow permissions.
     *
     * @param allowPrefix the allow prefix to set
     */
    public void setAllowPrefix(final String allowPrefix) {
        this.allowPrefix = allowPrefix;
    }

    /**
     * Sets the prefix used to identify deny permissions.
     *
     * @param denyPrefix the deny prefix to set
     */

    }

    /**
     * Gets the sort prefix used for identifying sort parameters in search queries.
     *
     * @return the sortPrefix
     */
    public String getSortPrefix() {
        return sortPrefix;
    }

    /**
     * Sets the sort prefix used for identifying sort parameters in search queries.
     *
     * @param sortPrefix the sortPrefix to set
     */

  }

  // Node/edge sets are the same, but node/edge connections differ due to edge type.
  @Test
  public void equivalent_directedVsUndirected() {
    graph.putEdge(N1, N2);

    MutableGraph<Integer> g2 = createGraph(oppositeType(edgeType));
    g2.putEdge(N1, N2);

    assertThat(graph).isNotEqualTo(g2);
  }

  // Node/edge sets and node/edge connections are the same, but directedness differs.

    /**
     * Gets the requested lease state flags
     * @return the requested lease state
     */
    public int getLeaseState() {
        return leaseState;
    }

    /**
     * Sets the requested lease state flags
     * @param leaseState the lease state to set
     */
    public void setLeaseState(int leaseState) {
        this.leaseState = leaseState;
    }

    /**

    /**
     * Sets the fourth value.
     *
     * @param value4
     *            The fourth value
     */
    public void setValue4(final T4 value4) {
        this.value4 = value4;
    }

    /**
     * Returns the fifth value.
     *
     * @return The fifth value
     */
    public T5 getValue5() {
        return value5;
    }

    /**
     * Sets the fifth value.
     *

        this.dataLength = length;
    }

    /**
     * Sets the number of bytes remaining to be written in a sequence of write operations.
     *
     * @param remainingBytes the remainingBytes to set
     */
    public void setRemainingBytes(final int remainingBytes) {
        this.remainingBytes = remainingBytes;
    }

    /**
     * Sets the write operation flags.
     *

    }

    /**
     * Sets the flags field which contains flags in SMB 3.1.1 or encryption algorithm ID in SMB 3.0/3.0.2
     *
     * @param flags
     *            the flags to set
     */
    public void setFlags(final int flags) {
        this.flags = flags;
    }

    /**
     * Gets the session ID associated with this encrypted message
     *
     * @return the session ID
     */