*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.

    }

    /**
     * Gets the component name.
     *
     * @return The component name
     */
    public String getComponentName() {
        return componentName;
    }

    /**
     * Sets the component name.
     *
     * @param componentName The component name to set
     */
    public void setComponentName(final String componentName) {
        this.componentName = componentName;
    }

// consistently for a given object name.
func TestHashedLayer(t *testing.T) {
	// Test distribution with 16 sets.
	var objs [16]*erasureObjects
	for i := range objs {
		objs[i] = &erasureObjects{}
	}

	sets := &erasureSets{sets: objs[:], distributionAlgo: "CRCMOD"}

	testCases := []struct {
		objectName  string
		expectedObj *erasureObjects
	}{

     */
    public String getEncoding() {
        return encoding;
    }

    /**
     * Sets the encoding for the response content.
     *
     * @param encoding the encoding to set.
     */
    public void setEncoding(final String encoding) {
        this.encoding = encoding;
    }

    /**
     * Sets the exception that occurred while accessing the content.
     *
     * @param e the exception to set.

  }

  /**
   * Atomically sets the element at position {@code i} to the given value.
   *
   * @param i the index
   * @param newValue the new value
   */
  public final void set(int i, double newValue) {
    long next = doubleToRawLongBits(newValue);
    longs.set(i, next);
  }

  /**
   * Eventually sets the element at position {@code i} to the given value.
   *

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

    /**
     * Sets the registration ID.
     *
     * @param registrationId the registration ID
     */
    public void setRegistrationId(String registrationId) {
        this.registrationId = registrationId;
    }

    /**

        protected String scrollTimeout = "1m";

        /**
         * Sets the search timeout.
         * @param timeout The search timeout.
         */
        public void setSearchTimeout(final String timeout) {
            this.searchTimeout = timeout;
        }

        /**
         * Sets the index timeout.
         * @param timeout The index timeout.
         */

 */

package com.google.common.collect.testing.google;

import static com.google.common.base.Preconditions.checkNotNull;
import static com.google.common.collect.Sets.newHashSet;
import static com.google.common.collect.Sets.newTreeSet;
import static com.google.common.collect.testing.SampleElements.Strings.AFTER_LAST;
import static com.google.common.collect.testing.SampleElements.Strings.AFTER_LAST_2;

    protected RequestListener listener;

    /**
     * Constructs a new FaultTolerantClient.
     */
    public FaultTolerantClient() {
        // Default constructor
    }

    @Override
    /**
     * Sets the initialization parameters for the underlying CrawlerClient.
     *
     * @param params a map of parameter names and values to be set
     */
    public void setInitParameterMap(final Map<String, Object> params) {

  }

  // 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.