type int64 int64

// float32 is the set of all IEEE 754 32-bit floating-point numbers.
type float32 float32

// float64 is the set of all IEEE 754 64-bit floating-point numbers.
type float64 float64

// complex64 is the set of all complex numbers with float32 real and
// imaginary parts.
type complex64 complex64

// complex128 is the set of all complex numbers with float64 real and
// imaginary parts.

yields a typed constant.
</p>

<pre>
uint(iota)               // iota value of type uint
float32(2.718281828)     // 2.718281828 of type float32
complex128(1)            // 1.0 + 0.0i of type complex128
float32(0.49999999)      // 0.5 of type float32
float64(-1e-1000)        // 0.0 of type float64
string('x')              // "x" of type string
string(0x266c)           // "♬" of type string

		}
	case obj.TYPE_FCONST:
		switch sz {
		case 4:
			nameAddr.Sym.WriteFloat32(p.ctxt, nameAddr.Offset, float32(valueAddr.Val.(float64)))
		case 8:
			nameAddr.Sym.WriteFloat64(p.ctxt, nameAddr.Offset, valueAddr.Val.(float64))
		default:
			p.errorf("bad float size for DATA argument: %d", sz)
		}
	case obj.TYPE_SCONST:
		nameAddr.Sym.WriteString(p.ctxt, nameAddr.Offset, sz, valueAddr.Val.(string))

    *   Layers now default to `float32`, and automatically cast their inputs to
        the layer's dtype. If you had a model that used `float64`, it will
        probably silently use `float32` in TensorFlow2, and a warning will be
        issued that starts with Layer "layer-name" is casting an input tensor
        from dtype float64 to the layer's dtype of float32. To fix, either set
        the default dtype to float64 with

  ASSERT_EQ(TF_OK, TF_GetCode(s.get())) << TF_Message(s.get());
  ASSERT_NE(*func, nullptr);
}

REGISTER_OP("CustomOp")
    .Output("output: float32")
    .Attr("index: int")
    .SetShapeFn(tensorflow::shape_inference::UnknownShape);

void NodeWithPlaceholderAttrHelper(TF_Graph* graph, TF_Status* s,

	type MigrateNullableColumn struct {
		ID    uint
		Bonus float64 `gorm:"not null"`
		Stock float64
	}

	DB.Migrator().DropTable(&MigrateNullableColumn{})

	DB.AutoMigrate(&MigrateNullableColumn{})

	type MigrateNullableColumn2 struct {
		ID    uint
		Bonus float64
		Stock float64 `gorm:"not null"`
	}

   * to the JDK until JDK 7.
   *
   * @param a the first {@code float} to compare
   * @param b the second {@code float} to compare
   * @return the result of invoking {@link Float#compare(float, float)}
   */
  @InlineMe(replacement = "Float.compare(a, b)")
  public static int compare(float a, float b) {
    return Float.compare(a, b);
  }

  /**

    testRotate(new float[] {}, 0, new float[] {});
    testRotate(new float[] {}, 1, new float[] {});

    testRotate(new float[] {1}, -2, new float[] {1});
    testRotate(new float[] {1}, -1, new float[] {1});
    testRotate(new float[] {1}, 0, new float[] {1});
    testRotate(new float[] {1}, 1, new float[] {1});
    testRotate(new float[] {1}, 2, new float[] {1});

    testRotate(new float[] {}, 0, new float[] {});
    testRotate(new float[] {}, 1, new float[] {});

    testRotate(new float[] {1}, -2, new float[] {1});
    testRotate(new float[] {1}, -1, new float[] {1});
    testRotate(new float[] {1}, 0, new float[] {1});
    testRotate(new float[] {1}, 1, new float[] {1});
    testRotate(new float[] {1}, 2, new float[] {1});

* `le`: `l`ess than or `e`qual

{* ../../docs_src/path_params_numeric_validations/tutorial005_an_py310.py hl[10] *}

## Number validations: floats, greater than and less than { #number-validations-floats-greater-than-and-less-than }

Number validations also work for `float` values.