*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.

	instructions["JZ"] = x86.AJEQ   /* alternate */
	instructions["MASKMOVDQU"] = x86.AMASKMOVOU
	instructions["MOVD"] = x86.AMOVQ
	instructions["MOVDQ2Q"] = x86.AMOVQ
	instructions["MOVNTDQ"] = x86.AMOVNTO
	instructions["MOVOA"] = x86.AMOVO
	instructions["PSLLDQ"] = x86.APSLLO
	instructions["PSRLDQ"] = x86.APSRLO
	instructions["PADDD"] = x86.APADDL
	// Spellings originally used in CL 97235.

		}
		p.errorf("wrong number of arguments to %s instruction", op)
		return
	case 4:
		if p.arch.Family == sys.S390X || p.arch.Family == sys.PPC64 {
			// 4-operand compare-and-branch.
			prog.From = a[0]
			prog.Reg = p.getRegister(prog, op, &a[1])
			prog.AddRestSource(a[2])
			target = &a[3]
			break
		}
		p.errorf("wrong number of arguments to %s instruction", op)
		return
	default:

// BFX-like instructions which are in the form of "op $width, $LSB, (Reg,) Reg".
func IsARMBFX(op obj.As) bool {
	switch op {
	case arm.ABFX, arm.ABFXU, arm.ABFC, arm.ABFI:
		return true
	}
	return false
}

// IsARMFloatCmp reports whether the op is a floating comparison instruction.
func IsARMFloatCmp(op obj.As) bool {
	switch op {

	// NOT pseudo-instruction
	NOT	X5					// 93c2f2ff
	NOT	X5, X6					// 13c3f2ff

	// NEG/NEGW pseudo-instructions
	NEG	X5					// b3025040
	NEG	X5, X6					// 33035040
	NEGW	X5					// bb025040
	NEGW	X5, X6					// 3b035040

	// This jumps to the second instruction in the function (the
	// first instruction is an invisible stack pointer adjustment).
	JMP	start					// JMP	2

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// This file encapsulates some of the odd characteristics of the
// Loong64 (LoongArch64) instruction set, to minimize its interaction
// with the core of the assembler.

package arch

import (
	"cmd/internal/obj"
	"cmd/internal/obj/loong64"
)

func jumpLoong64(word string) bool {
	switch word {

		if !ok {
			break
		}
		scratch = operands

		if p.pseudo(word, operands) {
			continue
		}
		i, present := p.arch.Instructions[word]
		if present {
			p.instruction(i, word, cond, operands)
			continue
		}
		p.errorf("unrecognized instruction %q", word)
	}
	if p.errorCount > 0 {
		return nil, false
	}
	p.patch()
	return p.firstProg, true
}

    return (byteArray instanceof UnsafeByteArray);
  }

  /**
   * Common interface for retrieving a 64-bit long from a little-endian byte array.
   *
   * <p>This abstraction allows us to use single-instruction load and put when available, or fall
   * back on the slower approach of using Longs.fromBytes(byte...).
   */
  private interface LittleEndianBytes {
    long getLongLittleEndian(byte[] array, int offset);

#
# Macosx options
#     darwin_arm64:
#
# Compiler options:
#     cuda_clang:             Use Clang when building CUDA code.
#     avx_linux:              Build with avx instruction set on linux.
#     avx_win:                Build with avx instruction set on windows
#
# Other build options:
#     short_logs:       Only log errors during build, skip warnings.
#     verbose_logs:     Show all compiler warnings during build.

///

/// warning

Make sure to **always** use the **exec form** of the `CMD` instruction, as explained below.

///

#### Use `CMD` - Exec Form

The <a href="https://docs.docker.com/reference/dockerfile/#cmd" class="external-link" target="_blank">`CMD`</a> Docker instruction can be written using two forms:

✅ **Exec** form:

```Dockerfile
# ✅ Do this