tf.constant(0, dtype=dtype))]

  expected = tf.constant([0, 0, 0, 0], dtype=tf.float32)
  tf.assert_equal(tf.cast(not_a_and_a, tf.float32), expected)

  expected = tf.cast([not_0] * 4, tf.float32)
  tf.assert_equal(tf.cast(not_a_or_a, tf.float32), expected)

  # For unsigned dtypes let's also check the result directly.
  if dtype.is_unsigned:

   ```
   @tf.py_function(Tout=tf.float32)
   def my_fun(x):
     print("This always executes eagerly.")
     return x+1
   ```

* `tf.lite`
    * Strided_Slice now supports `UINT32`.

* `tf.config.experimental.enable_tensor_float_32_execution`

		{"Error.Fset", Field, 5},
		{"Error.Msg", Field, 5},
		{"Error.Pos", Field, 5},
		{"Error.Soft", Field, 5},
		{"Eval", Func, 5},
		{"ExprString", Func, 5},
		{"FieldVal", Const, 5},
		{"Float32", Const, 5},
		{"Float64", Const, 5},
		{"Func", Type, 5},
		{"Id", Func, 5},
		{"Identical", Func, 5},
		{"IdenticalIgnoreTags", Func, 8},
		{"Implements", Func, 5},
		{"ImportMode", Type, 6},

	b := v.Block
	typ := &b.Func.Config.Types
	// match: (Neg32F x)
	// result: (PXOR x (MOVSSconst <typ.Float32> [float32(math.Copysign(0, -1))]))
	for {
		x := v_0
		v.reset(OpAMD64PXOR)
		v0 := b.NewValue0(v.Pos, OpAMD64MOVSSconst, typ.Float32)
		v0.AuxInt = float32ToAuxInt(float32(math.Copysign(0, -1)))
		v.AddArg2(x, v0)
		return true
	}
}

func rewriteValuegeneric_OpCvt32to32F(v *Value) bool {
	v_0 := v.Args[0]
	// match: (Cvt32to32F (Const32 [c]))
	// result: (Const32F [float32(c)])
	for {
		if v_0.Op != OpConst32 {
			break
		}
		c := auxIntToInt32(v_0.AuxInt)
		v.reset(OpConst32F)
		v.AuxInt = float32ToAuxInt(float32(c))
		return true
	}
	return false
}
func rewriteValuegeneric_OpCvt32to64F(v *Value) bool {
	v_0 := v.Args[0]