*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.

            throw new DocGenerationException("Parsing non-Java files is not supported: $sourceFile")
        }
        try {
            new JavaParser().parse(sourceFile).getResult().get().accept(new SourceMetaDataVisitor(), repository)
        } catch (Exception e) {
            throw new DocGenerationException("Could not parse '$sourceFile'.", e)
        }
    }

        .build()
    server.enqueue(
      MockResponse.Builder()
        .addHeader("SeNsItIvE", "Value").addHeader("Not-Sensitive", "Value")
        .build(),
    )
    val response =
      client
        .newCall(
          request()
            .addHeader("SeNsItIvE", "Value")
            .addHeader("Not-Sensitive", "Value")
            .build(),
        )
        .execute()
    response.body.close()

   *
   * <p>Note however that this method does not always behave identically to expressions such as:
   *
   * <ul>
   *   <li>{@code string.toUpperCase().equals("UPPER CASE ASCII")}
   *   <li>{@code string.toLowerCase().equals("lower case ascii")}
   * </ul>
   *
   * <p>due to case-folding of some non-ASCII characters (which does not occur in {@link

     * @param model The model into which to merge the values specified by its dependency management sections, must not
     *            be <code>null</code>.
     * @param request The model building request that holds further settings, must not be {@code null}.
     * @param problems The container used to collect problems that were encountered, must not be {@code null}.
     */

     *
     * @param model The model into which to merge the values specified by its plugin management section, must not be
     *            <code>null</code>.
     * @param request The model building request that holds further settings, must not be {@code null}.
     * @param problems The container used to collect problems that were encountered, must not be {@code null}.
     */

   documentation and/or other materials provided with the distribution.
3. The names of the authors may not be used to endorse or promote products
   derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.

    /**
     * Gets the super POM for the specified model version.
     *
     * @param version The model version to retrieve the super POM for (e.g. "4.0.0"), must not be {@code null}.
     * @return The super POM, never {@code null}.
     * @throws SuperPomProviderException if the super POM could not be retrieved
     */
    @Nonnull
    Model getSuperPom(@Nonnull String version);

async def login(form_data: OAuth2PasswordRequestForm = Depends()):
    user_dict = fake_users_db.get(form_data.username)
    if not user_dict:
        raise HTTPException(status_code=400, detail="Incorrect username or password")
    user = UserInDB(**user_dict)
    hashed_password = fake_hash_password(form_data.password)
    if not hashed_password == user.hashed_password:
        raise HTTPException(status_code=400, detail="Incorrect username or password")

  }

  public void testBase64InvalidDecodings() {
    // These contain bytes not in the decodabet.
    assertFailsToDecode(base64(), "A\u007f", "Unrecognized character: 0x7f");
    assertFailsToDecode(base64(), "Wf2!", "Unrecognized character: !");
    // This sentence just isn't base64() encoded.
    assertFailsToDecode(base64(), "let's not talk of love or chains!");
    // A 4n+1 length string is never legal base64().