*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.

        bool((must, should, mustNot, filter) -> {
            filteredLambda.callback(must, filter);
        }, opLambda);
    }

    public void not(OperatorCall<UserCQ> notLambda) {
        not(notLambda, null);
    }

    public void not(final OperatorCall<UserCQ> notLambda, final ConditionOptionCall<BoolQueryBuilder> opLambda) {
        bool((must, should, mustNot, filter) -> notLambda.callback(mustNot), opLambda);

    responses={404: {"description": "Not found"}},
)


fake_items_db = {"plumbus": {"name": "Plumbus"}, "gun": {"name": "Portal Gun"}}


@router.get("/")
async def read_items():
    return fake_items_db


@router.get("/{item_id}")
async def read_item(item_id: str):
    if item_id not in fake_items_db:
        raise HTTPException(status_code=404, detail="Item not found")

/*
 * Copyright (C) 2007 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

/*
 * Copyright (C) 2007 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

/*
 * Copyright (C) 2016 The Guava Authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

    void testGetLocalName() {
        // When
        NetbiosName localName = nameServiceClient.getLocalName();

        // Then
        assertNotNull(localName, "Local name should not be null");
        assertTrue(localName.getName().length() > 0, "Local name should not be empty");
    }

    @Test
    @DisplayName("Should get unknown name")
    void testGetUnknownName() {
        // When

	builder.WriteQuoted(in.Column)
	switch len(in.Values) {
	case 0:
		builder.WriteString(" IS NOT NULL")
	case 1:
		if _, ok := in.Values[0].([]interface{}); !ok {
			builder.WriteString(" <> ")
			builder.AddVar(builder, in.Values[0])
			break
		}

		fallthrough
	default:
		builder.WriteString(" NOT IN (")
		builder.AddVar(builder, in.Values...)
		builder.WriteByte(')')
	}
}

permissions granted by this License. 

"Source" form shall mean the preferred form for making modifications, 
including but not limited to software source code, documentation source, and 
configuration files. 

"Object" form shall mean any form resulting from mechanical transformation 
or translation of a Source form, including but not limited to compiled 
object code, generated documentation, and conversions to other media types. 

   * @param sampleKey a key of the same type as that contained by {@code multimap}. {@code multimap}
   *     may or may not have {@code sampleKey} as a key.
   * @param sampleValue a key of the same type as that contained by {@code multimap}. {@code
   *     multimap} may or may not have {@code sampleValue} as a key.
   */
  public static <K extends @Nullable Object, V extends @Nullable Object>